AI/ML Engineer. Architect. Tinkerer of brainsβbiological and artificial.
I specialize in building agentic AI systems that actually think, not just autocomplete. From CFG-driven LLMs to cloud-native MLOps pipelines, I design AI thatβs composable, scalable, and a little dangerous (in a good way).
- Building multi-agent orchestration engines at FastpeerAI
- Designing LLM pipelines that obey rules, not vibes
- Co-developing Large Brain Models with Max Hospitals & IHBAS
- Making EEGs do things they were probably never meant to do
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βοΈ HLGuidance β Grammar-constrained LLM generation
β Built withGuidanceAI
. Structured generation by leveragingGuidance's
API to the fullest, a no-nonsense AI orchestration framework which gives just enough tooling to build an AI centric software without using 100s of over-engineered abstractions, coughs .. langchain .. coughs. -
... When I find the time to properly arrange and publish here.
- Refactored LLM inference with CFGs and regex, doubling context recall and slashing latency by 90%
- Achieved 82% EEG classification accuracy for epilepsy detection in clinical settings
- Created a neural cellular automata library 10x faster in JAXβbecause why not
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π IIT Mandi | Double Major: CS & Bioengineering
Neuroscience, deep learning, and other fun stuff. -
π EEG-Depth-Image (ICPR Workshop '24)
Depth map reconstruction from EEGβdonβt ask how, just know it works (cosine sim: 0.81) -
π Epilepsy Detection, Deconstructed (Under Review - IEEE Epilepsia)
Tore apart the Bonn EEG dataset. Built something better.
- Languages: Python (can read my mind), Rust (just enough), C/C++ (if I must)
- AI/ML: PyTorch, LangChain, TensorFlow, Guidance, vLLM
- Infra: Kubernetes, Terraform, Argo, GCP, DigitalOcean
- Extras: FastAPI (pro), MNE, YOLOv8, JAX, Pyspark
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π₯ Amazon ML Challenge β AIR 18
Cracked product categorization with a vision-language pipeline and a 0.71 harmonic F1 -
π§ INSERB Youth Conclave β 2nd Runner-up
Invented a cognitive meta-language for aliens. The judges survived.
- π« [email protected]
- πΌ LinkedIn
- π» GitHub
Built with AIβ’ β just like your fridge manual and LinkedIn JDs, but sassier and twice as confused.*