Featured Projects
Malware analysis & threat-detection platform handling 200+ daily submissions with static, dynamic & memory analysis, isolated-VM execution, async Celery processing, and automated PDF reports. Security-first: JWT, TOTP 2FA, CAPTCHA, rate limiting.
Gamified cybersecurity training platform — 7 microservices, 41 interactive simulators, event-driven RabbitMQ gamification engine. 58,000+ LOC, 261+ integration tests, Redis-cached leaderboards, and Kubernetes manifests for 9 containerized services.
Multi-agent cybersecurity-intelligence platform with two-round LLM editorial deliberation and Borda-count ranking. Polyglot microservice architecture with a persistent memory layer and A2A protocol.
Biomedical NLP pipeline querying PubMed across 87K+ abstracts. Fine-tuned PubMedBERT NER (90% F1) and a provenance-tracked Neo4j knowledge graph + QA engine — 88% answer rate, every claim cited. Advised by Prof. Balamurugan Palaniappan.
Social-media NLP pipeline using double domain adaptation and guided masking (0.78 F1), with an explainability pipeline combining Integrated Gradients and LLM teacher-student distillation. Advised by Prof. Pushpak Bhattacharyya.
A bit about me
I'm an SDE & ML Engineer who likes building things that survive contact with real users and real data.
My work spans production systems — async malware-analysis platforms with security-first architecture — and NLP pipelines that extract clinical data from thousands of research abstracts. Competitive programming sharpened my fundamentals, and my research in deep learning has been published internationally.
When I step away from the terminal: cricket, chess, anime, and music.
Education
By the numbers
- GATE CSE 2024
- 99.3%
- CodeChef World Rank
- #32
- Published Research
- 2024
Where I've worked
Internships
- Built a sandbox-based malware-analysis platform handling 200+ daily sample submissions with automated static, dynamic, and memory-analysis reports.
- Led a 3-person team using sprint-based workflows and code reviews, shipping features on a 2-week release cadence.
- Built CyberAegis — a gamified cybersecurity training platform with 7 microservices, 41 interactive simulators, and 128+ REST API endpoints serving a React 18 SPA.
- Engineered event-driven architecture with RabbitMQ, Redis-cached leaderboards, and 261+ integration tests; load-tested for 5,000 concurrent users.
- Built an image-processing pipeline with Node.js, OpenCV.js, and Google Vision API that automated medicine identification from batch photos, replacing manual data entry.
- Designed an auto-populated Excel-compatible inventory system that cut medicine cataloging time from hours to minutes per batch.
Academic
- Organized and led weekly programming sessions reinforcing core deep-learning concepts for 80+ students.
- Graded student work and projects with detailed feedback on complex topics.
- Ran weekly doubt sessions and helped student teams plan and debug their projects.
Achievements & Honors
Tech stack
Languages
Frameworks & Libraries
ML / AI
Systems & Tools
Operations Research & Simulation
Relevant Coursework
Deep Learning, Reinforcement Learning, NLP, Generative & Agentic AI, ML Principles, Operations Research, DSA, and more — from M.Tech at IIT Bombay and B.Tech at GGU.
Let's build something worth shipping.
Actively seeking SDE, ML Engineering, or hybrid roles where I can build production systems with intelligent capabilities.