Welcome!
SIH 2025 Winner
Open Source Contributor

Srinjoy Roy

Srinjoy Roy builds production-grade ML systems that move from model to market.

Technical Stack

ML, GenAI, data, and deployment skills in one operating system.

Selected Archival Works

Register 2024-2025 // Production ML

01

MetaMark (SIH 2025 Winning Project)

AI-powered legal metrology compliance engine for e-commerce listing validation.

STACK: OCR, RAG, Agent Building
02

Nirvana Health Chain (HackHeritage 2024 Winning Project)

Anti-counterfeiting pharma supply chain system for drug safety and inventory trust.

STACK: ML Inference, Backend APIs, Docker
03

Phishing Website Detection

End-to-end ML pipeline for phishing detection with automated training, evaluation, and deployment.

STACK: Python, MLOps, Docker
04

Medical OCR and NLP Intelligence

OCR pipeline for noisy medical documents with NLP extraction for medicines, dosage, and patient metadata.

STACK: Tesseract, OpenCV, NLP
05

AgriX Nirvana

Farm-to-fork agricultural supply chain transparency platform for authenticity, quality, and fair pricing.

STACK: Blockchain, Supply Chain, Traceability
06

Smart Green Campus

Real-time campus sustainability platform for energy, water, and waste optimization.

STACK: WebSockets, AI Analytics, IoT

The Trajectory

Professional Timeline & Deployments

01

Cybersecurity Intern

Cybernara – WPShield Security Dashboard // June 2026 – Present

Designed and built a Transformer-based anomaly-detection WAF from scratch.

  • Designed and built a Transformer-based anomaly-detection WAF from scratch — a 5-stage pipeline (log ingestion, parser/normalizer, custom BPE tokenizer, 6-layer DistilBERT-scale encoder ~66M params, FastAPI + ONNX inference sidecar) that flags requests deviating from learned-benign traffic.
  • Generated a 500K+ entry labelled training corpus by deploying 9 intentionally vulnerable web apps across 7 tech stacks with Locust-based traffic simulation.
  • Architected non-blocking sidecar inference via an Nginx/Lua hook and async worker pool, plus a LoRA-based continuous retraining pipeline for zero-downtime model hot-swaps.
  • Built the platform's authentication system (login, signup, MFA) and core security/admin modules: IP blocking, geo-blocking, and maintenance mode.
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02

Open Source Contributor

MLflow // May 2026

Diagnosed and fixed a Clipboard API bug causing UI crashes.

  • Diagnosed and fixed a Clipboard API bug causing UI crashes on Copy actions across MLflow's prompt, tracing, and evaluation modules in non-HTTPS deployments.
  • Designed a shared copyToClipboard() utility with Clipboard API and execCommand fallback, refactoring 5 frontend components with full unit-test coverage.
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03

Team Leader and AI/ML Architect

Smart India Hackathon 2025 // December 2025

Led MetaMark, an AI compliance system for legal metrology validation.

  • Architected OCR plus LLM compliance validation using Tesseract, Gemini, and LangChain.
  • Implemented regulatory rule validation with real-time trust score generation.
  • Owned model logic, system design, leadership, and final deployment.
  • Recognized with national television coverage for innovation and hackathon achievement.
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04

Backend Developer and ML Engineer

HackHeritage 2024 // September 2024

Led ML pipeline design for anomaly detection in drug inventory supply chains.

  • Led ML pipeline design for anomaly detection in drug inventory supply chains.
  • Built backend services integrating ML inference and real-time monitoring.
  • Deployed production models with CI/CD, Docker, and cloud infrastructure.
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Education

Academic foundation in information technology.

Abstract Background

Why Should You Hire Me?

Don't just take my word for it. I build hardcore machine learning into interactive experiences. Choose your challenge.

01. Grandmaster

I have trained a custom neural network on thousands of my personal Chess.com games. It plays like me.

If it beats you, you hire me.

Accept

02. Architect

Anyone can wrap an API. I build entire neural architectures from scratch natively in the browser.

Train a network live.

Enter Lab

03. Edge Vision

I can run cutting-edge computer vision natively in your browser using a custom WebAssembly Transformer.

Watch my Edge AI read.

Test Edge AI