AI/ML Engineer · Data Science · Agentic Systems
I build intelligent systems around LLMs, agents, tool use, retrieval, computer vision, and edge AI.
Currently exploring what happens when AI systems interact with tools, protocols, memory, sensors, and real-world systems.
nabhya = {
"focus": [
"AI Agents",
"LLM Systems",
"RAG",
"MCP",
"Computer Vision",
"Edge AI",
],
"currently_building": [
"tool-augmented AI systems",
"LLM routing & inference pipelines",
"AI + hardware systems",
],
"researching": [
"protocol-level hallucinations",
"agent reliability",
"tool-augmented LLMs",
],
}Tool-Augmented LLM Agents
Research into hallucinations occurring at the LLM ↔ tool interaction layer.
MCP · LLMs · RAG · Evaluation
Cost-aware LLM routing and inference.
Model Routing · Token Efficiency · Local Inference · Fireworks AI
Situationally Aware Multi-modal Wearable for Intelligence, Safety & Emergency Response
Edge AI · Computer Vision · Embedded Systems · Voice AI
AI-powered elderly assistance and safety platform.
Mobile · AI Assistants · Fall Detection · Geofencing
LLMs · RAG · MCP · AI Agents · Computer Vision · Multimodal AI · Local Inference
Indian Institute of Technology Madras
B.S. · Data Science · 2027
Heritage Institute of Technology
B.Tech · Computer Science & Business Systems · 2026
F1 → race strategy, engineering & questionable sleep schedules
Gym → strength, hypertrophy & consistency
Trekking → finding trails with increasingly questionable difficulty
$ echo "build → break → learn → repeat"
