Hi, I'm Animesh.
GenAI Engineer.
I build scalable LLM systems, AI agents, and RAG pipelines that automate workflows, enhance knowledge discovery, and improve enterprise operations.
I'm a GenAI Engineer focused on building scalable LLM systems, AI agents, and RAG pipelines. My recent work includes architecting a hybrid semantic search engine achieving 92% answer accuracy, engineering multi-intent classification with 85% escalation accuracy, and building autonomous agents that process 10,000+ IT tickets end-to-end.
I hold a Master's in Data Analytics from Penn State (3.98 GPA) and was awarded the Chancellor's Scholarship. Before AI, I spent 3+ years as a Senior Data Analyst building data lakes and ML pipelines at scale.
I care about building AI that's reliable, measurable, and production-grade, not just impressive in a demo.
Gen AI Engineer
- Architected hybrid semantic search combining dense & sparse embeddings with Pinecone and BGE reranker, achieving 92% accuracy, 40% ticket reduction
- Engineered multi-intent classification with GPT-4.1 structured outputs, achieving 85% escalation accuracy, abandonment cut from 30% to 8%
- Designed intelligent workflow automation with entity extraction. 65% of requests automated, time reduced by 78%
Gen AI Intern
- Built OneNote data ingestion pipeline. 50,000+ pages across 300+ notebooks, 35% knowledge base expansion
- Developed autonomous AI agent with LangGraph + multi-model architecture processing 10,000+ IT tickets with 87% confidence
Research Assistant
- Built image-generation & photo-analysis tool with Gemini. 20% revenue increase, 35% customer satisfaction boost
- Developed web scraping solutions with Selenium & Beautiful Soup at 10 pages/minute
Senior Data Analyst
- Designed 500+ features for data lakes on BigQuery, powering ML models and predictive capabilities
- Eliminated fake applications via outlier detection. 14% operational cost reduction
- Analyzed blog campaign performance with Python, reducing marketing expenses by 30%