I design and engineer AI systems that move beyond experimentation and operate reliably at production scale.

B.Tech CSE (AI/ML) at IIIT Nagpur
Focused on LLM systems, multimodal intelligence, and scalable AI infrastructure

I work across the full lifecycle:
data → modeling → training → inference → deployment

• Designing LLM and agent-based systems with structured reasoning and tool integration
• Building retrieval-augmented and graph-based pipelines
• Optimizing inference systems for latency, throughput, and cost
• Developing backend systems for AI applications with production constraints
• Running structured experimentation and evaluation for model improvement

• LLMs & Agent Systems → RAG, LangChain, LangGraph, AutoGen
• Computer Vision → Detection, tracking, multimodal systems
• Systems Engineering → Distributed systems, async pipelines
• Inference Optimization → Batching, quantization, GPU efficiency

• Systems should scale, not just work
• Metrics drive decisions, not assumptions
• Latency and reliability are first-class concerns

Open to discussions around:

• AI systems engineering
• LLM infrastructure
• scalable backend systems