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# Siddharth Chadha > First principles over precedent. Signal over noise. - **Role:** AI Product Manager - **Email:** siddharth.chadha7@gmail.com - **LINKEDIN:** https://www.linkedin.com/in/sid625/ - **X:** https://x.com/Sid_625 - **EMAIL:** mailto:siddharth.chadha7@gmail.com ## About Five years across consulting, strategy and product, now building AI products where the hard part isn't the model, it's deciding what's worth building. Reached this work through data and analytics, which is why the instinct is always to check the number before the narrative. Comfortable at the front of a problem: the stage where there's no roadmap, no benchmark, and the job is to establish what's actually true. ## Industry experience - Artificial Intelligence - Blockchain & Web3 - Cloud Infrastructure - ESG & Sustainability - Healthcare - Real Estate - Finance ## Notable companies & clients worked with - Deloitte USI - Sanofi - BlueUrbn - Stanford - NodeOps - Google for Startups - Aethir - 0G Labs ## Work ### Product Manager, CreateOS, NodeOps - **Period:** 2024 - Present - **Context:** Google for Startups, India Class of 2026 - **Link:** https://nodeops.xyz - **Product:** CreateOS (https://createos.sh/) - **Detail page:** /work/nodeops CreateOS is a unified workspace to build, deploy, and scale apps: no DevOps, no tool sprawl. Eliminate complexity and ship faster with an all-in-one workflow built for speed, focus, and product momentum. **Impact** - **10,000+ users in Q1** CreateOS in its first quarter, via GTM across a 70,000+ developer community with a five-person engineering team. - **#1 Product of the Day** CreateOS ranked first on Product Hunt. - **120% revenue lift** In the month after shipping a unified credit system that merged deployment and AI-generation billing. - **$160M+ AUM** On the Node-as-a-Service launchpad, alongside 300K+ wallets and $4.3M+ revenue across 65+ protocols. - **4.9M+ build hours** After replacing manual YAML and Docker setup with AI-assisted GitHub CI/CD, plus 20K+ deployments. - **95%+ Sybil detection** Across 10M+ wallets, from an analytics and detection pipeline built from scratch that replaced $15K of tooling. **Highlights** - Launched CreateOS, an AI-native zero-code platform to build and deploy applications; scaled to 10,000+ users in the first quarter via GTM across a 70,000+ developer community with a 5-person engineering team. Ranked #1 Product of the Day on Product Hunt. - Replaced manual YAML/Docker setup with AI-assisted GitHub CI/CD, closing the build-to-deploy gap. Drove 4.9M+ build hours, 20K+ deployments and 12K+ vibe-coding sessions. - Designed a unified credit system merging deployment and AI-generation billing, driving a 120% increase in revenue the following month. - Proposed the pivot from Web3-only node deployments to a deployments-first strategy. Backed it with subscription data, crypto market cycles and an early node-sale downtrend, then validated it with Web3 developer surveys: users could vibe-code front-ends but stalled at deployment. - Scaled the Node-as-a-Service launchpad to 65+ protocols, letting retail users run nodes with zero configuration. Reached $160M+ AUM, 300K+ wallets and $4.3M+ revenue. - Built a data analytics, tracking and Sybil-detection pipeline from scratch, flagging 95%+ of Sybil wallets across 10M+ wallets and saving $15K in tooling. ### Product Lead, Nexus, BlueUrbn - **Period:** 2023 - 2024 - **Context:** Stanford-incubated - **Link:** https://www.linkedin.com/company/blueurbn/about/ - **Detail page:** /work/blueurbn Led Nexus, a rebates engine helping commercial buildings adopt energy-efficient systems, cutting payback periods by 30% on average. **Impact** - **30% shorter payback** Average reduction for commercial buildings adopting energy-efficient systems. - **~90% faster research** Incentive research fell from 8 to 9 hours down to 30 to 60 minutes. - **380+ rebate programs** Aggregated across 30+ products into a single searchable engine. - **5+ enterprise MoUs** Secured through discovery with building-energy scientists, MEP firms and engineering partners. **Highlights** - Surfaced federal, state and utility incentives across New York and California, cutting payback periods by 30% on average. - Cut incentive research from 8–9 hours to 30–60 minutes (~90% faster) by aggregating 380+ rebate programs across 30+ products into one searchable engine; workflow validated by the Director of Buro Happold. - Ran discovery with building-energy scientists, MEP firms and engineering partners to define the product, securing 5+ enterprise MoUs and shipping 15+ features across the Nexus calculator and Retro energy-model MVP. - Owned incentive logic and compliance research across IRA, ITC, PTC and utility programs (PG&E, NYSERDA), aligning the product to ASHRAE, Title 24 (CCR) and DOE standards. ### Business Technology Analyst, Deloitte USI - **Period:** 2021 - 2023 - **Context:** Client: global pharmaceutical company - **Link:** https://www.deloitte.com/ - **Detail page:** /work/deloitte-usi Built the data foundation behind a deep-learning sales-optimization model, lifting sales 22%+ the following cycle across a 350+ rep field force. **Impact** - **22%+ sales lift** In the cycle after optimising per-rep channel mix, frequency and spend. - **10+ countries** Coverage spanning APAC and EU. - **20+ markets** Where the deep-learning sales-optimisation model was deployed. - **350+ rep field force** The size of the field force the model optimised. **Highlights** - Lifted sales 22%+ the following cycle by optimizing per-rep channel mix, frequency and spend across a 350+ rep field force. - Engineered the model-ready dataset (MRDS) and pre-processing pipeline powering a deep-learning sales-optimization model deployed across 20+ markets. - Owned the data foundation for 8+ markets, consolidating fragmented sources (SQL, text, Excel) into clean, feature-rich training data for omnichannel HCP targeting across in-person, events, calls, email and WhatsApp. - Handled 10+ countries spanning APAC and EU. ## Education and activities ### Manipal Institute of Technology, Manipal - **Period:** 2017 - 2021 - **Stream:** Electronics and Communication Engineering, minor in Data Science - TEDx Manipal organiser - MIT Football League - Lumos, a dentistry project: provisional patent, since expired - Lumos: top 15 medical prototypes at the AIIMS Delhi dentistry convention #### Internships - **Period:** 2019 - 2021 Four stints alongside the degree, across neural networks, equity research, applied machine learning and corporate finance. ##### Shadowed Consulting Haus Director (May 2021 - Sep 2021) - Shadowed the Director of Corporate Finance Strategy, evaluating Islamic financial instruments for an NBFC. - Benchmarked 200+ NBFCs and banks across the GCC, covering both corporate and retail customers. ##### Equity Research Analyst, Fincrux Technologies (Jul 2020 - Sep 2020) - Invested INR 2L at an average return of 21.25% across BSE-listed companies, on a real-time trade simulator. - Used fundamental and technical analysis to evaluate company performance against the market. ##### Data Science Intern, Alpha AI (2019) - Built a recommendation algorithm for solo and group travel handling 1M+ users, delivered three weeks ahead of schedule. - Led a team of 4 interns and 2 psychologists to fold personality traits into the recommendations. - Combined collaborative and content-based filtering, improving the system's efficacy by 60%. - Generated deep fakes to automate content production for edtech practitioners, cutting man-hours by 40%. - Applied GAN-based generative modelling to improve video content generation. ##### Neural Networks Intern, UNESP, São Paulo (Jun 2019 - Jul 2019) - Built a neural network in the MATLAB NN toolbox that took GDP, exports, imports, inflation and interest rates across 20 years to predict the value of the Indian rupee, accurate to 96%. #### IAESTE India - **Period:** 2017 - 2020 - **Link:** https://iaeste.in/ Four posts across three years: local operations, then quality, then the national committee, plus a global task force. ##### Local Committee Task Force Leader, elected (2019 - 2020) - Elected to transform LC networks globally, working with counterparts across 4+ countries including Turkey, Brazil, Poland and Germany. - Built strategies for the internal functioning of APAC countries, strengthening and streamlining their systems and processes. - Advised the global IAESTE IT team. ##### National Secretary, National Committee IAESTE India (2019 - 2020) - Represented India at the 2020 Annual General Conference in Slovakia. - Increased National Committee savings by 68% and launched 2 new revenue streams. - Exchanged the 2nd-highest number of offers globally, up 16% year-over-year. - Designed an app to digitise the global offer-exchange process, cutting processing time, eliminating ~15k sheets of paper and improving analytical insights; adopted by the IAESTE A.s.b.l. Board. ##### Total Quality Manager, LC Manipal (2018 - 2019) - Implemented internal department-wide efficiency audits. - Managed IAESTE LC Manipal's support system. ##### Local Committee Member, LC Manipal (2017 - 2018) - Handled the operational work of LC Manipal. - As Summer Reception Officer, managed the incoming of 80+ foreign nationals across 30+ countries. - FRRO in-charge, handling police verification for select countries. #### RevX, Manipal Incubation Center - **Period:** 2018 - 2019 - **Link:** https://timesofindia.indiatimes.com/city/mangaluru/innovations-for-a-better-tomorrow-on-display-at-manipal/articleshow/74420620.cms An electric scooter built at the Manipal Incubation Center: old scooters headed for scrap, converted rather than replaced. - Handled the electronic components and their wiring into the BMS: indicators, headlights and horn. - Worked on the chassis assembly for the battery and BMS. - Secured an initial grant of INR 50,000. - The first prototype ran up to 60km on two hours of charging, at a build cost of around INR 45,000. - The team applied for a patent, with motorbikes lined up next. ### The Shri Ram School, Aravali - **Period:** 2012 - 2017 - **Stream:** Physics, Maths, Chemistry and Technical Drawing - 92% across the ICSE and ISC boards - Board topper in Engineering and Technical Drawing, 100% - Football and athletics teams; vice-captain of athletics - Played the Subroto Cup representing Delhi NCR, India's third biggest football tournament - Represented Delhi at NWR regionals and ISC nationals in football and athletics - Best Athlete of the Year, sub-junior category - 30+ medals across all school years ## Projects ### Prysmo An X audience intelligence tool. It identifies which of your engagers are actually your ICP, recommends people to reach based on your intent, shows analytically what is and isn't working, and drafts in a voice adapted to your own writing style. - **Built for:** B2B - **Industries:** Artificial Intelligence - **Skills:** LLM product design, Agentic workflows, Prompt engineering, User research, 0→1 launches - **Link:** https://production-frontend-prysmo.tyzo.nodeops.app/ ### CompeteIQ Ingests competitors' links, screenshots, docs, and pricing; auto-generates comparative analysis. Adopted team-wide; informed cutting or pausing 3 pipeline products. - **Built for:** B2B - **Industries:** Artificial Intelligence, Cloud Infrastructure - **Skills:** LLM product design, Agentic workflows, Product strategy & roadmap, GTM strategy - **Link:** https://dep-503b87b6-71b6-4ef1-9c27-01b7f97a825c.tyzo.nodeops.app/dashboard.html ### Scope 3 LCA Maps and reports the life-cycle assessment of a textile process, stage by stage. The stage model is industry-agnostic - textiles is the worked example, not a limit. - **Built for:** B2B - **Industries:** ESG & Sustainability - **Skills:** Product strategy & roadmap, User research, Cross-functional stakeholder management, 0→1 launches ### GoalCast (2026) A FIFA 2026 prediction app. Pick every fixture before kickoff, score more for calling the upset, and see how your picks sit against the crowd. - **Built for:** B2C - **Skills:** 0→1 launches, Prompt engineering - **Link:** https://goalcast.createos.sh/ ## Writing ### What Does Your AI Actually Remember About You? - **Date:** 2026-07-31 - **Reading time:** 6 MIN - **Published on:** MEDIUM - **Link:** https://medium.com/@siddharth.chadha7/what-does-your-ai-actually-remember-about-you-abdff40ca333 Models don't remember anything. An externally curated memory folder is assembled for each conversation, which makes curation matter far more than capacity. ### What happens when you press Enter on your prompt on Claude/GPT? - **Date:** 2026-05-13 - **Reading time:** 12 MIN - **Published on:** X - **Link:** https://x.com/Sid_625/status/2054542233018507745 A walkthrough of the journey a prompt takes between hitting Enter and the first token arriving back on screen. ### The AI Restaurant That Lives Inside Your Computer - **Date:** 2026-02-26 - **Reading time:** 10 MIN - **Published on:** MEDIUM - **Link:** https://medium.com/@sid_24024/the-ai-restaurant-that-lives-inside-your-computer-32f67a51b206 System prompts, context windows, tokens, MCP and orchestration explained through one extended restaurant analogy, for people who don't build these systems. ## Reading ### Books - **The Immortals of Meluha** by Amish Tripathi - One thing he remembers: "The good in you is as much you as the evil in you." - **The Secret of the Nagas** by Amish Tripathi - One thing he remembers: "Real power is not always to show." - **The Psychology of Money** by Morgan Housel - One thing he remembers: "Real wealth is not seen." - **The Subtle Art of Not Giving a F*ck** by Mark Manson - One thing he remembers: "Meditation is a mock of death." - **Mindset** by Carol S. Dweck - One thing he remembers: "Be mindful enough to know if you have a growth or a fixed mindset." - **The Hard Thing About Hard Things** by Ben Horowitz (still reading) - **Hooked** by Nir Eyal (still reading) - **Psycho-Cybernetics** by Maxwell Maltz - One thing he remembers: "Understanding self image, and how it influences our decisions." - **Autobiography of a Yogi** by Paramahansa Yogananda (still reading)