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Title: Rendy Bambang Junior - VP of Data at Evermos | Data and Tech | LinkedIn

Open Graph Title: Rendy Bambang Junior - VP of Data at Evermos | Data and Tech | LinkedIn

X Title: Rendy Bambang Junior - VP of Data at Evermos | Data and Tech | LinkedIn

Description: VP of Data at Evermos | Data and Tech · Passionate on how data and technology can deliver value to user and business. Currently empowering small-medium local businesses using data and analytics at Evermos. Delivered business values using data, machine learning, and insights, at Ruangguru. Ex-Traveloka since its early years, built batch/streaming data pipeline and data warehouse. High achiever, resilient, believe in craftmanship and growth mindset. Enjoy solving complex problems and growing talents in the team. · Experience: Evermos · Education: Georgia Institute of Technology · Location: Jakarta Metropolitan Area · 500+ connections on LinkedIn. View Rendy Bambang Junior’s profile on LinkedIn, a professional community of 1 billion members.

Open Graph Description: VP of Data at Evermos | Data and Tech · Passionate on how data and technology can deliver value to user and business. Currently empowering small-medium local businesses using data and analytics at Evermos. Delivered business values using data, machine learning, and insights, at Ruangguru. Ex-Traveloka since its early years, built batch/streaming data pipeline and data warehouse. High achiever, resilient, believe in craftmanship and growth mindset. Enjoy solving complex problems and growing talents in the team. · Experience: Evermos · Education: Georgia Institute of Technology · Location: Jakarta Metropolitan Area · 500+ connections on LinkedIn. View Rendy Bambang Junior’s profile on LinkedIn, a professional community of 1 billion members.

X Description: VP of Data at Evermos | Data and Tech · Passionate on how data and technology can deliver value to user and business. Currently empowering small-medium local businesses using data and analytics at Evermos. Delivered business values using data, machine learning, and insights, at Ruangguru. Ex-Traveloka since its early years, built batch/streaming data pipeline and data warehouse. High achiever, resilient, believe in craftmanship and growth mindset. Enjoy solving complex problems and growing talents in the team. · Experience: Evermos · Education: Georgia Institute of Technology · Location: Jakarta Metropolitan Area · 500+ connections on LinkedIn. View Rendy Bambang Junior’s profile on LinkedIn, a professional community of 1 billion members.

Opengraph URL: https://id.linkedin.com/in/rendybjunior

X: @Linkedin

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Domain: www.linkedin.com


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Halo warga LinkedIn, Saat ini Revolut sedang membuka kesempatan berkarir bagi para Software Engineers (Java atau Python) yang berpengalaman. Jika… https://www.linkedin.com/posts/aaseptiandri_halo-warga-linkedin-saat-ini-revolut-sedang-activity-7424826565735116801-h_JL
Rendy Bambang Juniorhttps://id.linkedin.com/in/rendybjunior?trk=public_profile_actor-name
I’ve always believed that leadership is about lifting others, but today, my team is the one lifting me up. Receiving the People's Choice Manager… https://www.linkedin.com/posts/rifan-kurnia_ive-always-believed-that-leadership-is-about-activity-7424336429226541056-p8LL
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11 years ago, I received a letter at home It wasn't congratulations, it was a warning letter because I wasn't doing well in my first year of… https://www.linkedin.com/posts/rizaldykautsar_11-years-ago-i-received-a-letter-at-home-activity-7415241861763768320-vc1G
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Traveloka 5 years 8 months https://sg.linkedin.com/company/traveloka?trk=public_profile_experience-group-header
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Muqtafi Akhmad “I was working with Rendy for more than 2 years. Rendy is an open person and I felt save to express any concern/feedback that I had to him directly. At that time, the data engineering team was still at the early phase and we were growing. Despite that, Rendy demonstrated his ability to balance between delivering critical projects and investing in exploration of new technologies as the team maturing.” https://jp.linkedin.com/in/muqtafi?trk=public_profile_recommendations
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Product Growth 45K followers https://www.linkedin.com/company/aakashnewsletter?trk=public_profile_relatedPosts_face-pile-cta
You don't write your PRD once. You write it over time. If the purpose of a PRD is clarity, then it's important for it to reflect the current state of the team's thinking. Here's the 6 stages of evolution I recommend: 1 — Team Kickoff Often called a speclet, at this stage the idea is 'just enough information' for the team to explore it further. It might even be just a title and a few lines. The idea is: you've identified business metrics to move, and you have 80%+ confidence of the user problem direction you'll solve. You don't know the exact problem or solution, but you're describing your best hunch. It's an exercise in product sense. Then, with your designer and tech lead, you'll explore further. 2 — Planning Review This is when the PRD expands into a 1-pager. You've started to explore the problem space with your design and engineering partners. It's now ready for review with execs—your skip level, those VPs that care a lot about the roadmap, maybe even the CEO. This new document ends planning reflecting the summary of your learning during the process. 3 — XFN Kick Off Once you're ready to take on the solution space, it's time to bring all the stakeholders in: sales, customer support, marketing... This is where you update the PRD for all of the input needed. What you need from legal, from privacy, from compliance, from QA, and everyone else. It has a compelling problem space, initial data, and serves as a canvas to get input before going full on in the solution exploration. 4 — Solution Review The next step for the PRD is generally the most stressful product review. This is the one, if it's a big feature, you might even present to the Senior Leadership Team (SLT). Many times, this will even evolve into a slide deck, or a Notion document that's ready for presentation, or a 6-page PRFAQ if you work at Amazon. The idea is, you put your stake in the ground on the results of the solution space exploration so you can get feedback. 5 — Launch Readiness Once you've gotten all that feedback and completed your exploration of the solution space, it's time to get the document ready for engineering. Your tech lead has been in on the whole process, but now you need to create a concrete document of edge cases, metrics, and flows. Then, the engineers building it can stress the final edge cases only an engineer can find. 6 — Impact Review Many people make the mistake of ending the PRD there. But it's worth going back to the PRD and adding a link to your feature results writeup. And, if you roll back the feature or something, adding a note of it. You want people who find the PRD to be able to trace back what happened after to complete the build-test-learn loop. — Ready to go further with examples and specifics? Check out the deep dive: https://lnkd.in/ef5Yde54 406 10 Comments https://www.linkedin.com/posts/aakashnewsletter_you-dont-write-your-prd-once-you-write-activity-7311824485328871424-XHSx?trk=public_profile_relatedPosts
Liam Darmody With Curious Growth • 24K followers https://uk.linkedin.com/in/liamdarmody?trk=public_profile_relatedPosts_face-pile-cta
PRD in hand. Rejection email in inbox. The team was looking for a demo. That’s the shift. Prototypes are becoming the starting point. They’re how product thinking shows up and earns trust. Docs still matter. They just follow something real enough to test, explore, and evolve. But even the best prototype collapses without a solid foundation. That’s where writing still plays a critical role. Well-structured PRDs aren’t disappearing. They’re becoming launchpads for interactive exploration. Tools like ChatPRD help teams turn rough thinking into usable direction, quickly enough to build while the idea is still fresh. In the background, something deeper is taking shape. AI is supercharging every phase of the product lifecycle. From discovery to delivery and iteration, intelligent systems are showing up as digital teammates. PMs are now building with them. And learning how to conduct them. Some will use AI to tidy up a roadmap. Others will use it to surface patterns from interviews, generate testable prototypes, or coordinate feature releases. This is why product sense and judgment matter more than ever. AI can generate, simulate, and ship. But it can’t tell you what’s worth building. For tech leaders, this means rethinking: → How teams shape product direction → What hiring practices are designed to reveal → Whether your culture values progress through writing or through building Teams that embrace this shift will learn faster, hire better, and build with more confidence. What changes are you seeing in how product work gets done? ♻ Repost to help more leaders build teams that are ready for it. ➕ Follow Liam Darmody for more. 81 51 Comments https://www.linkedin.com/posts/liamdarmody_prd-in-hand-rejection-email-in-inbox-the-activity-7357383422954070016-OXNy?trk=public_profile_relatedPosts
Red Hat 2M followers https://www.linkedin.com/company/red-hat?trk=public_profile_relatedPosts_face-pile-cta
Many organizations in Indonesia are eager to adopt AI — but they often hesitate due to system complexity, infrastructure limitations, or simply not knowing where to begin. Red Hat takes a different approach. We’re not just making AI more efficient — we’re making it usable, scalable, and open. ✅ Built on open source More flexible and collaborative by design ✅ Modular and vendor-neutral No vendor lock-in, more freedom to innovate ✅ Designed for hybrid cloud & edge Adaptable to different infrastructures and environments ✅ Backed by a strong ecosystem and community trust Proven, reliable, and continuously evolving With solutions like Red Hat OpenShift and Red Hat AI, we’re helping banks, government institutions, and telecom providers in Indonesia turn AI from “potential” into real impact. 💡 The future of AI isn’t just about automation — it’s about accessibility, clarity, and the freedom to build what matters. 👉 Learn more: https://red.ht/43WjuM5 Explore how we’re helping organizations unlock AI adoption. #RedHatIndonesia #AIAdoption #OpenSourceAI #RedHatAI 38 2 Comments https://www.linkedin.com/posts/red-hat_redhatindonesia-aiadoption-opensourceai-activity-7340279480332046338-WX7w?trk=public_profile_relatedPosts
Moussa Jamor LabelVie • 4K followers https://ma.linkedin.com/in/moussa-jamor-b17a58253?trk=public_profile_relatedPosts_face-pile-cta
🚀 Building Scalable Recommenders – Need Advice! 🚀 Hi everyone! 👋 I’m working on a recommendation system using Apache Spark for large-scale data processing. So far, I’ve been using Spark’s ALS for matrix factorization, which works well for batch personalization. Now, I want to explore more advanced session-based models like #BERT4Rec and #SASRec, which are implemented in PyTorch 🧠🔥. But here’s the problem: Most of the popular libraries like #RecBole, #RecTools, and #Cornac ..etc, are great—but they all rely heavily on pandas. That’s a big issue when working with large datasets. I need distributed processing (via Spark), and #pandas just doesn’t scale well 🚫🐼 So my questions for the community: Are there any open-source frameworks that combine #Spark with #PyTorch-based recommenders? If not, is it worth building a custom #Spark ↔ #PyTorch integration? Any tips for managing the feature pipeline, data I/O, or serving models in this kind of hybrid setup? Would love to hear your suggestions, tools, or lessons learned from working with #Spark + #PyTorch in production 💬 Thanks in advance! 🙏 #RecommenderSystems #ApacheSpark #PyTorch #BERT4Rec #SASRec #BigData #MachineLearning #DataEngineering 28 https://www.linkedin.com/posts/moussa-jamor-b17a58253_bert4rec-sasrec-recbole-activity-7328814176867409921-YBvR?trk=public_profile_relatedPosts
Anjulata Charan Mintoak • 2K followers https://in.linkedin.com/in/anjulata-charan-31286411b?trk=public_profile_relatedPosts_face-pile-cta
In my first role as a Business Analyst I used to get confused between BRD, FSD and PRD. So, here's a post that delineates the differences and the sequence they should be prepared in: For TLDR: Skip to the bottom 📄 BRD vs. FSD vs. PRD: Decoding the Documentation In the realm of product development, clear documentation ensures alignment and efficiency. Let's break down three pivotal documents and the sequence: 1. BRD (Business Requirements Document) – The "Why" 1.1 Purpose: Outlines the business objectives and rationale behind a project. 1.2 Focus: Business goals, stakeholder needs, and high-level requirements. 1.3 Audience: Business stakeholders, executives, and product managers. 1.4 Owner: Business Analyst or Product Manager. The BRD answers: Why are we undertaking this project? 2. FSD (Functional Specification Document) – The "How" 2.1 Purpose: Describes how the system will implement the product requirements. 2.2 Focus: Technical specifications, system architecture, and workflows. 2.3 Audience: Developers, QA engineers, and technical teams. 2.4 Owner: Engineering Lead or Technical Architect. The FSD explains: How will we build it? 3. PRD (Product Requirements Document) – The "What" 3.1Purpose: Details what the product will do to meet business objectives. 3.2 Focus: Features, user stories, and functional requirements. 3.3 Audience: Designers, developers, and QA teams. 3.4 Owner: Product Manager. The PRD addresses: What are we building? TLDR: In simpler words, it's the product feature from the eyes of different stakeholders BRD = The business owner's perspective FSD = The developer's perspective PRD = The user's perspective These documents can be prepared for the complete product or any particular feature in the product. Here the product could be an App, or website or a software etc. Understanding and effectively utilizing these documents ensures that teams are aligned, reducing miscommunication and enhancing product success. #ProductManagement #BusinessAnalysis #SoftwareDevelopment #BRD #PRD #FSD 892 68 Comments https://www.linkedin.com/posts/anjulata-charan-31286411b_productmanagement-businessanalysis-softwaredevelopment-activity-7331294386170806273-38Ve?trk=public_profile_relatedPosts
Nsisong Uko, CSM® SEAL RICHARDS • 4K followers https://ng.linkedin.com/in/nsisonguko?trk=public_profile_relatedPosts_face-pile-cta
Writing a PRD sounds easy — until your devs read it and still have 10 questions. Yep, I’ve been there too 😅 Hey PM newbies (and anyone trying to figure this out), Let’s talk about something many of us struggle with: writing a clear PRD ✍️ I remember writing my first one. It looked neat. I used all the “right” PM terms. But then the devs came back like: “What exactly should this feature do?” 🤔 “What happens if the user skips this part? That’s when it hit me 👇 𝙁𝙧𝙖𝙢𝙚𝙬𝙤𝙧𝙠𝙨 𝙖𝙧𝙚 𝙜𝙧𝙚𝙖𝙩, 𝙗𝙪𝙩 𝙞𝙛 𝙮𝙤𝙪𝙧 𝙋𝙍𝘿 𝙞𝙨𝙣’𝙩 𝙘𝙡𝙚𝙖𝙧, 𝙮𝙤𝙪’𝙧𝙚 𝙨𝙡𝙤𝙬𝙞𝙣𝙜 𝙩𝙝𝙚 𝙩𝙚𝙖𝙢 𝙙𝙤𝙬𝙣. Here’s what I’ve learned: ✅ Be clear, not clever – Keep it simple. ✅ Give context – Always explain the why. ✅ Include details – Think edge cases, user flows, success criteria. ✅ Embrace feedback – It’s not always fun, but it makes your PRDs stronger. Before you take another course or memorize another framework, ask yourself: Can I write a PRD that helps my team build the right thing? 💡Because that’s what actually drives results. Don’t just collect frameworks and certificates 🎓 Build clarity. Communicate well. Deliver value. So, what’s one lesson you’ve learned from writing (or fixing) a PRD? Let’s share and grow together! 💬 #PMife #prdlessons #buildwithclarity #techcareers 24 9 Comments https://www.linkedin.com/posts/nsisonguko_pmife-prdlessons-buildwithclarity-activity-7333407750292393984-Shi-?trk=public_profile_relatedPosts
Ekki Rinaldi Vektor • 6K followers https://id.linkedin.com/in/ekkirinaldi?trk=public_profile_relatedPosts_face-pile-cta
I just had several meetings with Investment Capital and PE talking about the AI business landscape in Indonesia. Here's my thoughts: - B2C (Business to Consumer) On a broader scale, building a B2C product (especially an AI-driven product) is challenging to be profitable unless you solve really specific use cases AND sell it abroad (not only limited to Indonesia). B2C in Indonesia is typically "cheap", meaning pricing has a lot of impact on how users decide whether to use your service or not, so keeping the team lean and efficient is also one of the keys to how B2C tech startups in Indonesia can thrive. Some successful emerging B2C products under my radar are like SPUN, which revolutionizes how we do visas. Another lucrative business for B2C is financing (BNPL, P2P Lending, etc) since we have a huge market in consumption, although it's already competitive and requires a lot of work in legal. The good thing about B2C is that the sales cycle is relatively fast, but loyalty is something you need to work hard on. - B2B (Business to Business) AI transformation is one of the key narratives that a lot of BUMN prioritize within the next 5 years, starting from 2025. State-owned companies like PT PLN (Persero) and PT.Jaminan Kredit Indonesia favors more on return on investment (ROI), meaning you can improve your success if you can elaborate on how long your product can return the "investment" in their term. The challenge is when you need to navigate Proof of Concepts (POC), which for some companies kinda a bit tricky. The same rule applies to corporate startups like Tokopedia and Kredivo Group, however, the PoC phase has clearer objectives and boundaries. B2B typically closes the deal within a range of 3-6 months, unless there's an urgent need, although there might be a different approach since government efficiencies impact the whole nation. - B2G (Business to Government) B2G has two objectives – budget absorption (penyerapan anggaran) and improving social services; therefore, if you're able to interpret your business idea into their interest with the proper channel, you have a pretty good chance of closing the deal. The ups and downsides of doing business with the government are that they have a relatively huge budget, however, the sales cycle sometimes takes between 6 months to 2 years or even more. In conclusion, if you want to start your tech startup, understand your market and business model. Make sure your company is as lean as possible. With AI, your team could do 2- 10X the productivity. Let me know what you think, does it fit with your experience? Let's discuss in the comments. #AI #Startup 16 https://www.linkedin.com/posts/ekkirinaldi_ai-startup-activity-7318507861087567876-iieD?trk=public_profile_relatedPosts
Nurazam Malim Twistcode UK Limited • 25K followers https://my.linkedin.com/in/nurazam-malim?trk=public_profile_relatedPosts_face-pile-cta
If having many wives doesn't increase happiness, does that mean it's less sadder? MIT said something that almost every single member in any AI organization/konsortium/persatuan already knew - it's just another art of selling instead of improving, but they didn't dare to say anything out loud for obvious reason : cari makan/just to get revenue at the expense of tax payers' money. It's like Persatuan Lori-Lori Malaysia or Lorries Association - they knew the lorries are overloaded overcapacity but just kept quiet about it and only making noise when we want to reinforced the no-on-the-road lorries on peak hours. Prime Minister of Malaysia said that the increased SST is to support the increasing budget for the AI implementation that heavily lobbied by AI pushers. Few weeks after that, PMX warned about the AI productivity paradox within civil servants (no increment in productivity). And comes out the RMK13 (13th Malaysia Plan) that focus on AI, with the AI Asean Summit some more. Welcome back to Big Data Analytic/Framework era. So if 95% AI implementation don't increase profits (or savings), are we spending 95% unnecessarily? Yes. But of course, these AI pushers are currently heavily on HRDF's training-trendy times where getting paid just to teach people are more awesome than actual doing AI on productivity/product/services. Those who can't do, teach. While HRDF have tons of money, of course. Remember, those who do trainings are more likely to drive a Lamborghini that changes their lifestyle, instead of changing the nation as per their preach. Happy weekends. #malaysia #twistcode #artificialintelligence #paradox #rmk13 #bubbles #sembangkari 338 89 Comments https://www.linkedin.com/posts/nurazam-malim_malaysia-twistcode-artificialintelligence-activity-7364474905955860481-DPSi?trk=public_profile_relatedPosts
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