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AI Engineer with 1+ years in LLM Applications & Generative AI
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Assessing your cultural and operational fit
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
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 ProjectLLM 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.
AI 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 RAG intent classification to OCR automation and generative AI insights, indicates a broad interest and adaptability to different problem domains within AI. The experience at Tata Elxsi Ltd. as an AI Engineer aligns directly with the target role, demonstrating a clear career path and commitment to the field. The certification in 'AI Engineer Core Track' further shows a proactive approach to skill development. However, the experience level is relatively low (1+ year), which might impact the immediate fit for a senior-level role without further validation.
Soft Skills & Operational Fit
The candidate's resume highlights experience in Agile/Scrum methodologies and contributing to chatbot UI frontends, suggesting an ability to work in team environments and contribute to user-facing applications. The description of projects like 'Payer Ops Automation Platform' implies an understanding of end-to-end workflow automation and potentially cross-functional collaboration. However, without specific psychometric or English test results, a deeper assessment of soft skills like logical reasoning, stress handling, and team collaboration is not possible.