I build AI systems that work in the real world—not just in notebooks.
Currently exploring diffusion models, explainable AI, and real-time computer vision. Pre-final year CSE (AIML) student at IIIT Nagpur.
Research stuff:
- Built an XAI framework for diffusion-based medical classifiers (XAI)
- Reproduced DiffMIC-v2 from scratch for diabetic retinopathy grading
- Teaching language models to reason with GRPO (experiment)
Production systems:
- Real-time PPE compliance monitoring with event-driven architecture (SentinelVision)
- NL-to-SQL pipeline with chain-of-thought reasoning (NL-2-SQL)
- AI-powered blood report parser with dual OCR pipeline (BloodParser)
Tools I built for myself:
- Personal knowledge curation with contradiction detection (Noesis)
- Multi-agent systems, RAG pipelines, and other experiments
- Making AI interpretable (not just accurate)
- Designing systems that handle real-world constraints (occlusion, latency, cost)
- Honest experimental reporting (including failures)
- Writing READMEs that actually help people understand the work
- Research collaborations (XAI, diffusion models, RL for reasoning)
- Production ML challenges (video pipelines, LLM applications, edge deployment)
- Interesting projects that need AI engineering
- Career opportunities in ML/research engineering
Reach out: tejas@tejasgarg.in • LinkedIn • Portfolio
📍 Nagpur, India • 🎓 IIIT Nagpur


