Hey, I'm Esha!
Applied AI Engineer specializing in LLM systems, agentic workflows, and production-ready AI infrastructure.
Shipping Real things. Not just demos.
Applied AI Journey
Engineered production-grade AI systems during Internships.
Multiple AI Projects
Strong focus on token optimization and cost efficiency, reducing overall token consumption by ~35% through prompt compression, response truncation strategies, and retrieval optimization.
Applied AI Intern
PGAGI, Bangalore
LLM Engineer Intern
Arogo AI, Kharagpur
My Technical Ecosystem | Stack that scales
What I Build
A few highlights from the AI systems I've built.
AI Operations Optimizer : Python SDK
LLM observability and optimization platform with telemetry instrumentation, cost & latency analytics, and AI-driven agents that detect inefficient prompts, model overuse, and infrastructure bottlenecks.
FastAPI • LangChain • Celery • Next.js
View Project →
PageSense : AI Research Chrome Extension
AI-powered Chrome extension using RAG, vector search, and semantic retrieval to generate contextual answers, summaries, and cross-page comparisons across multiple webpages.
FastAPI • Qdrant • React • OpenAI
View Project →
TalentScout : AI Hiring Assistant
Conversational AI interview platform that conducts adaptive technical interviews using LLM reasoning, evaluates candidate responses, and generates structured hiring recommendations.
FastAPI • Next.js • MongoDB • OpenAI
View Project →
AI-Driven Drug Discovery
Me along with my team-mates, designed an AI-driven molecular discovery system that accelerates drug development by intelligently exploring chemical space and prioritizing promising candidates, reducing cost and years of experimental screening. The system targets oncology and pharmaceutical R&D. Our review paper is accepted at JIMH and ICICT (Springer).
Artificial Intelligence • Deep Learning • Computational Chemistry • Molecular Modeling
Recognized for Excellence
Proven ability to ship through hackathons, consultancy projects, and open-source.