Engineering AI that survives production.
demos are easy. surviving is the job.Evaluation pipelines, RAG systems, agent registries, developer tooling — designed, built and operated end to end. The flagship is Brok’s Forge: an open-source engineering platform for AI agents.
- Software Engineer @ TCS
- Google Cloud · BigQuery
- 2 systems live in production
SHEET 01 — THE LOOP
runs on every merge94.2%
pass rate
1.8s
p95 latency
4,500
results scored
now building: async evaluation workers
fig. 01 — one evaluation job: 500 items fan out, 9 metrics score every run.
- 22backend modulesone platform, clean boundaries
- 29append-only migrationsthe schema is the contract
- 13LLM providers modeledbehind one SPI
- 2systems in productionbuilt and operated solo
Brok's Forge — The Engineering Platform for AI Agents.
Frameworks help you build an agent. Brok’s Forge is the platform that helps you engineer one — register it, version it, point real datasets and prompts at it, evaluate it against objective metrics, benchmark variants, catch regressions, and report on cost, latency and quality over time.
the résumé is the repo →The engineering loop it owns
- Register
- Version
- Evaluate
- Benchmark
- Advise
Framework-agnostic (LangGraph, CrewAI, AutoGen, Spring AI, custom HTTP) and provider-agnostic (OpenAI, Anthropic, Gemini, Groq, Ollama and more) — every provider behind one SPI, every result reproducible by construction.
- 22feature & infra modules
- 27REST controllers
- 29append-only migrations
- ~335backend Java files
- 13LLM providers modeled
- 17architecture decision records
Kuriosity — the other side of the loop.
Brok's Forge evaluates AI systems; Kuriosity is one — a live RAG product I built and operate end to end. Building both is the point: I understand the platform and the workload it serves.
Kuriosity inverts the AI-tutor model: an AI named Kurio plays the student. Upload study material and Kurio asks context-grounded questions, scores your free-text answers against the retrieved source chunks, and tracks topic mastery across sessions.
Custom RAG pipeline
PDF parsing, chunking, Cohere embeddings, ChromaDB similarity search — every response grounded in the uploaded source, not the model’s general knowledge.
LLM evaluation loop
Free-text answers scored against retrieved chunks — accuracy %, missing concepts and revision topics returned as structured JSON.
Cross-session memory
PostgreSQL tracks per-user topic strength, so weak concepts resurface until they hold.
Operated in production
JWT auth with email OTP, rate limiting, and a three-platform deploy (Vercel, Railway, custom DNS/TLS) run under real traffic.
- React
- Node.js
- Express
- PostgreSQL
- ChromaDB
- Cohere
- Groq
Applied computer vision and systems fundamentals — the range behind the platform work.
Violence Detection & Alert System
Real-time CV pipeline that detects violent activity in video streams and triggers automated safety alerts — YOLOv6 + MobileNetV2 over live footage.
- Python
- YOLOv6
- MobileNetV2
Road Safety Surveillance
Detection and tracking of road-safety violations in real time, replacing constant human monitoring with an automated pipeline.
- Python
- OpenCV
- ML
Student Management System
A clean object-oriented CRUD application for student records — early proof of the same instinct: model the domain first.
- Java
- OOP
The full production surface.
Everything below has shipped in real systems — the platform, the products, or the day job. No aspirational logos.
Backend & runtime
- Java 21
- Spring Boot
- Spring Security
- PostgreSQL
- Redis
- Flyway
- REST / OpenAPI
- Node.js
AI systems
- LLM APIs (OpenAI · Anthropic · Gemini · Groq · Ollama)
- RAG pipelines
- embeddings & vector search
- evaluation harness
- prompt / dataset versioning
- LLM-as-judge metrics
- LangGraph · LangChain (integration)
Infrastructure & ops
- Docker
- AWS EC2
- Nginx + TLS
- Prometheus
- Grafana
- structured logging
- health probes
- OpenTelemetry-ready
- CI/CD (GitHub Actions)
Data & cloud
- GCP
- BigQuery
- Looker
- LookML
- SQL optimization
- row-level security
Frontend
- React
- Next.js
- TypeScript
- Tailwind
- Vite
- TanStack Query
Practice
- clean architecture
- modular monolith
- ADRs
- schema-first migrations
- multi-tenant security
- SSRF / IDOR hardening
- documented testing strategy
Principles I refuse to compromise.
I'm an AI engineer who treats AI systems as production software, not demos. By day I build governed cloud data platforms at Tata Consultancy Services; nights and weekends belong to the workshop — the registries, pipelines and evaluation loops that make AI agents shippable.
Platforms, not demos
Anyone can call a model API. The hard part is everything around it — versioning, credentials, datasets, evaluation, cost. I build that part.
Measured, not vibes
An agent that isn't evaluated is an agent you can't ship. Every system I build produces metrics, benchmarks and regression signals — quality is a number, not an impression.
The schema is the contract
Databases outlive code. Append-only migrations, immutable versions and reproducible results — so an evaluation run today means the same thing a year from now.
Boundaries over convenience
Modules reference each other by id and published services, never shared tables. It costs a query today and buys a clean extraction tomorrow.
Security by construction
Tenant isolation that returns 404 instead of leaking existence, encrypted credentials, SSRF guards on every outbound call. Defaults, not afterthoughts.
Built to be operated
Correlation IDs on every log line, structured errors, health probes, fail-fast startup. If an incident is hard to trace, the system is unfinished.
From the workshop.
On the bench now
Async evaluation workers — moving the executor seam behind a queue and a worker fleet.
Jul 2026
Production hardening pass on Brok’s Forge — provider-aware health checks, OTP password change, Prometheus metrics, structured JSON logging.
Jul 2026
Brok’s Forge v1.0.0 — all four phases live. 22 modules, 29 migrations, 17 ADRs, and a Master Architecture doc that is actually kept true.
2026
Phase 4: the AI Engineering Advisor — recommendations, root-cause engine, AI debugger, knowledge graph. Everything computed on read, nothing stale.
2025
Kuriosity shipped — a RAG tutor in production across three platforms. Still running.
The work behind the workshop.
Governed cloud data platforms by day; open-source AI infrastructure the rest of the time. Both are production systems with real users.
Brok's Forge — Independent / Open Source
2026 – PresentCreator & Maintainer · AI Engineering Platform · RemoteCurrent
- Designed and built a multi-tenant, provider-agnostic AI-agent engineering platform (Java 21 / Spring Boot, PostgreSQL, Next.js 15): agent registry, evaluation pipeline, benchmarking, regression detection and an on-read engineering advisor.
- Architected it as a modular monolith — 22 modules with id-only boundaries — so any module extracts into a microservice mechanically.
- Operate it in production on AWS EC2 (Docker, Nginx, Let’s Encrypt) with a Vercel frontend, Prometheus metrics and structured logging.
- Java 21
- Spring Boot
- PostgreSQL
- Next.js
- AWS
Tata Consultancy Services
Dec 2025 – PresentSoftware Engineer · Google Cloud / Looker · ChennaiCurrent
- Design and develop production LookML models, views and explores on Google Cloud Looker, enabling self-serve analytics for business teams.
- Optimized BigQuery SQL, reducing average dashboard load time by ~35%.
- Built 10+ Looker dashboards across Finance, Operations and Marketing.
- Implemented row-level security and access-group policies for multi-tenant data governance.
- GCP
- BigQuery
- Looker
- LookML
NIT Trichy
Sep 2024 – Oct 2024Game Developer Intern · Trichy
- Shipped a full game on online-bullying awareness with Unity and C#, owning design through deployment.
- Unity
- C#
MIC Chennai
Aug 2023VR Developer Intern · Chennai
- Built immersive VR experiences with Unity's XR Interaction Toolkit, improving simulation fidelity through iterative testing.
- Unity XR
- C#
SRM Institute of Science & Technology
2021 – 2025B.Tech, Computer Science Engineering · Trichy
Credentials, quickly.
Google Cloud — Associate Cloud Engineer
Google Cloud
Java (Certified)
HackerRank
JavaScript (Certified)
HackerRank
Python
CodeChef
AR/VR Game Development
CDAC Pune
Build something with me.
Open to AI engineering and platform roles — teams that care whether the system still works six months after the demo. If that's you, the inbox is open.
i read everything. usually same day.