AI Engineer with 1+ years in LLM applications, RAG pipelines, and NLP systems
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Results-driven AI Engineer with 1+ year of experience building production-grade LLM applications, RAG pipelines, NLP systems, and intelligent document automation. Skilled in Generative AI, prompt engineering, semantic search, vector embeddings, and intent classification. Experienced with Google Gemini API, Claude API, and open-source LLM evaluation. Certified in LLM Engineering, RAG, QLORA Fine-Tuning & AI Agents. Proficient in Python, React.js, and PostgreSQL.
The Oxford College of Engineering
B.E. · Information Science & Engineering
August 1, 2020 – June 30, 2024
Tata Elxsi Ltd.
AI Engineer
July 1, 2025 – Present
Bengaluru, Karnataka, India
Compsoft Technologies
Machine Learning Intern
August 1, 2024 – October 1, 2024
Bengaluru, Karnataka, India
LLM Document IDP System
June 24, 2026 – Present
Multi-document LLM extraction system with batch processing, structured output, and field-comparison UI for human-in-the-loop review.
Generative AI Insights Feature
June 24, 2026 – Present
Real-time data stream processor delivering personalised LLM-generated contextual insights integrated into a live production portal.
OCR Automation Pipeline
June 24, 2026 – Present
PaddleOCR + Tesseract pipeline for automated structured data extraction from engineering drawings with Excel output and hierarchy parsing.
Payer Ops Automation Platform
June 24, 2026 – Present
AI-powered operations automation platform for payer workflows - document ingestion, LLM-based extraction, structured data processing, rule-based routing, and interactive review dashboard.
RAG Intent Classification Engine
June 24, 2026 – Present
End-to-end RAG pipeline with real-time ASR, dense vector retrieval, and 100+ intent classifier deployed in a production CTI application.
View ProjectAI Engineer Core Track (LLM Engineering, RAG, QLORA Fine-Tuning & AI Agents)
Udemy
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from recommendation engines and generative AI insights to IDP and RAG pipelines, indicates adaptability and a broad interest in AI applications. Their experience at Tata Elxsi Ltd. as an AI Engineer aligns directly with the target role, showcasing relevant professional experience. The certification in advanced LLM topics further demonstrates a proactive learning attitude. The breadth of technical skills, including various AI/LLM frameworks, Python libraries, and full-stack components, suggests a versatile individual capable of contributing to diverse technical challenges.
Soft Skills & Operational Fit
The candidate demonstrates a results-driven approach through their project descriptions, focusing on deployed, real-time, and production-grade systems. Their experience with Agile Scrum indicates an understanding of collaborative and iterative development methodologies. The emphasis on human-in-the-loop review and ground truth validation suggests an appreciation for robust and reliable AI systems, which aligns well with operational best practices.