AI Engineer building full-stack data products Published NLP researcher · Berlin
From a 50-day founding sprint that closed a €500K seed round to peer-reviewed NLP research at LREC-COLING — I build AI systems that reach production and stay there.
AI Engineer · Full-Stack Engineer · Data Platform Engineer · Analytics Engineer
Berlin preferred · Germany / EU / Remote
I started writing software in Chennai, migrated legacy websites to the MERN stack, and visualised IPL cricket data in Tableau. That led to Munich — an M.Sc. at TUM, where four years of NLP research on differential privacy in language models ended up peer-reviewed and published at LREC-COLING 2024. Then Berlin: Infineon Technologies, where I ran NLP models and BI platforms for 100+ employees; Asgoodasnew, where I built ML pricing that moved margins; and finally PLACED, where I joined as Founding Engineer at an AI talent-matching startup — launched the founding product to early adopters in 50 days and helped close a €500K seed round.
I’m open to AI Engineer, Full-Stack Engineer, Data Platform Engineer, and Analytics Engineer roles — building systems that scale, ship, and show up in the numbers. Based in Berlin; open to Germany, EU, and remote. Let’s talk.
Two flagship projects — each a full-stack AI system solving a real problem, built with production-engineering discipline.
Upload your CV, set preferences — the system scrapes 15+ portals in parallel, ranks matches via pgvector hybrid retrieval, iteratively optimises your CV against top matches using GPT-4o in a LaTeX rewrite loop, and auto-applies via Playwright. All tracked in a real-time Next.js dashboard.
A production-ready MCP server that gives Claude Code, Cursor, and Codex the power to act as a full-stack data engineer. Describe analytics needs in plain English — DataMCP maps your Postgres schema, generates a complete dbt project, wires up Metabase, schedules Dagster pipelines, and provisions Kafka streaming. Backed by a persistent knowledge base that compounds with every session.
From scraping cricket data in Chennai to architecting an AI platform that closed a seed round in Berlin — every role moved further along the same trajectory.
Peer-reviewed at a flagship NLP conference. Workshop speaker to 30+ developers across Europe.
A rigorous comparative study evaluating local differential privacy mechanisms applied to language models. Demonstrated a 45% improvement in privacy protection while maintaining model utility — a core tension in privacy-preserving AI. Published from my M.Sc. thesis at TUM, contributing novel empirical findings to the field.
Designed and delivered a full-day workshop on AI agents and automation to 30+ developers. Topics: LLM multi-step orchestration, prompt engineering, n8n automation. Sparked adoption of no/low-code AI tools in production workflows — part of International Showtimes' Q2 initiative to become the most productive team on the planet.
Specialisation in NLP, ML, AI, and Software Engineering. Thesis on Local Differential Privacy in NLP — published at LREC-COLING 2024, with 45% privacy improvement while maintaining model utility.
Software development, data structures, and algorithms. First Class with Distinction — top 5% of the graduating class.
We kicked things off with a great workshop led by Nihildev Nandakumar on AI agents and automation. One key takeaway: the space is evolving fast, especially with no/low-code tools like n8n, which we started using right away… it sparked valuable discussions and laid the groundwork for long-term impact.
You are an incredible developer and your family can be extremely proud of you! Let's transform this industry together and bring candidate placement into the era of AI!
The oneSAP Training Dashboard built with Nihildev tracks the complete training process — invitations, registrations, KPI analysis for go-live decisions, trainer feedback. Automated daily updates. Supports multiple simultaneous rollouts across Infineon's global digitalization strategy.
Senior AI engineering & leadership roles. If you're building something ambitious in AI, data platforms, or full-stack ML — I'll make it ship.