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AI Engineer with 3+ years in Generative AI & NLP solutions.
AI/ML Engineer with 3.5+ years of experience building scalable Machine Learning and Generative AI solutions across Insurance and FinTech domains. Specialized in LLM applications, Retrieval-Augmented Generation (RAG), NLP pipelines, model fine-tuning, and API deployment using FastAPI and Docker. Strong expertise in developing production-grade AI systems that automate workflows, improve operational efficiency, and enable intelligent decision-making. Experienced in working with open-source LLMs, vector databases, agentic AI workflows, classical ML algorithms, and backend AI infrastructure.
Sambhram Institute of Technology, VTU
Bachelor of Engineering · Information Science
August 1, 2017 – June 30, 2022
Digit Insurance
Associate Software Engineer – AI/ML R&D Team
October 1, 2023 – Present
Bengaluru, Karnataka, India
Digit Insurance
Graduate Trainee Engineer
October 1, 2022 – September 30, 2023
Bengaluru, Karnataka, India
IntelliClaim AI – Medical Document Intelligence Platform
January 1, 2023 – June 30, 2026
Built AI-powered system for extracting structured information from medical documents Fine-tuned open-source LLMs using QLORA and Unsloth for OCR-based extraction Developed real-time inference APIs using FastAPI and vLLM
QueryPilot - Conversational Data Analytics Assistant
January 1, 2023 – June 30, 2026
Built AI assistant capable of converting natural language into optimized SQL queries Implemented Agentic RAG architecture for schema retrieval and contextual reasoning Added validation and security checks for safe SQL execution
PersonaSense – Customer Intelligence Prediction System
January 1, 2022 – December 31, 2023
Developed ML models for identifying customer demographics and language preferences Built lightweight APIs for real-time inference and workflow integration
MedSure AI - Automated Health Claim Risk Assessment
January 1, 2022 – December 31, 2023
Developed ML models for treatment cost estimation and fraud detection Automated preliminary claim evaluation workflows using predictive modeling
AutoInspect Vision – Vehicle Repair Cost Estimation Engine
January 1, 2022 – December 31, 2023
Engineered regression models for vehicle repair cost estimation Integrated predictive services into internal claims management systems
Cultural Fit Analysis
The candidate has worked exclusively in the insurance/FinTech domain, which shows deep industry focus but limited diversity in application areas. Their projects are consistently aligned with AI/ML and Generative AI, indicating a strong passion for the target role. The breadth of skills covers both classical ML and modern Generative AI, suggesting adaptability and a continuous learning mindset. However, the lack of diverse industry exposure might limit broader problem-solving perspectives.
Soft Skills & Operational Fit
The candidate's resume highlights mentoring junior engineers, suggesting leadership potential and a collaborative mindset. Their experience in automating critical business workflows indicates a results-oriented approach and an understanding of operational impact. The awards received (Spotlight Award, Tech Titan Award) further support a strong work ethic and contribution to team goals.