V4C
2026 — PresentSenior Data Scientist
Applied AI and data science on production systems — modelling, retrieval and agentic workflows that go in front of real users. Recently started; details here as they ship.
Bengaluru · 12.97°N 77.59°E · 2026
Senior Data Scientist building agentic AI systems and production data platforms that run at scale — not in a demo.
I spend my days making language models behave like dependable software: retrieval that actually retrieves, agents that know when to stop, and pipelines that survive the night without paging anyone. Triple cloud certified, three years of production systems, and a long-standing habit of reading about cosmology when the deploy is running.
Move the pointer — or drag a finger — the sky answers. Tap for a spark.
Observations
Trajectory
Senior Data Scientist
Applied AI and data science on production systems — modelling, retrieval and agentic workflows that go in front of real users. Recently started; details here as they ship.
Data & AI Senior Analyst
GeeksforGeeks · Medium · dev.to · LinkedIn
4k+ monthly reads across platforms and 13k+ followers, mostly on the parts of applied AI that usually go undocumented. Top 1% LinkedIn Programming Voice, FY 2024–25.
Missions
A free, ad-free suite of learning apps teaching Terapanth history, the lineage of Acharyas and tirtha geography to children aged 4–13 — a tradition taught orally in classrooms, now reachable by any family anywhere at zero cost.
Every app is a single dependency-free HTML file: no build pipeline, no backend, no per-user cost. Bilingual Hindi/English quizzes and matching games, a global error-recovery boundary, muted-by-default Web Audio, and a WhatsApp-native sharing loop. A production freeze was traced with CDP heap and listener profiling across 1,000+ automated interaction cycles and fixed.
Solo-designed — architecture, UX and content — and iterated from real parent and child feedback into stable public releases. Live and in use.
A multi-agent research desk: cross-validates 1,000+ daily data points across five APIs with integrity checkpoints, holding >99.7% data accuracy, and turns an afternoon of report writing into under five minutes.
Full-stack commerce system with LLM structured extraction, voice-to-invoice speech-to-text and ECDSA digital signatures. Thread-safe in-memory caching cut disk I/O ~95%; it runs on a self-hosted Linux homelab in a hybrid cloud setup.
Several specialised agents behind one question — Reddit and web retrieval, advanced retrievers and RAG, arbitrated into a single recommendation instead of five competing ones.
Fine-tuned LLaMA 3 with 4-bit PEFT-LoRA on a free Colab tier, then published the whole workflow — evaluation metrics, benchmarks and the failure modes people normally leave out of the tutorial.
Real-time spoken dialogue with a switchable model behind it — Whisper in, any of several LLMs in the middle, speech back out. Built to compare backends on the same conversation rather than on a benchmark.
Simulated spraying drone with coverage path planning at 84% crop coverage precision, using U-Net and R2U-Net semantic segmentation to find land boundaries on its own.
PIN-based TOML authentication at sub-500 ms, and cloud PPTX→PDF conversion of client decks in about three seconds, synced straight back to Drive.
A full restaurant point-of-sale, shipped the awkward way on purpose: a single Windows EXE with a bundled JRE, so a restaurant with no IT desk can install it by double-clicking.
A Victorian laboratory you can actually use: a working command shell inside the machine, 37 measured hotspots on a looping video plate, a journal that turns its own pages, and an assistant running tf-idf retrieval with a deterministic FAQ gate on Cloudflare Workers — no vector database anywhere.
Smaller things that did not need a card: a bulk subtitle scraper written twice, once with libraries and once without, to show the difference; and an over-engineered birthday animation in pure CSS, which is exactly as serious as it sounds. Everything else lives on Linktree.
Elsewhere
Instruments
Credentials
AWS Certified Developer
Associate · DVA-C02
Verify
Professional ML Engineer
Google Cloud
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LeetCode Knight
1983 · top 2.84% · 450+ solved
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Also: B.Tech, Electrical Engineering, NIT Durgapur (CGPA 8.72) · Amazon ML Summer School 2022, top 0.5% of 19,000+ · TCS CodeVita S10, global rank 1,979 of 136,000+ · CodeChef 4-star, max 1892 · NPTEL C Programming (IIT KGP), 100% · AIR 1, Jain Vidya Exams I, II and V.
Lockwood
Signal
Open to applied-AI, data science and platform work. Fastest reply is email; LinkedIn works too.