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AI Engineer with 1+ years in Generative AI, RAG, and automation testing
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Software Engineer with 1+ year of experience in automation testing, SDV systems, and AI-powered applications. Skilled in Python, SQL, Generative AI, RAG, and NLP-based solutions. Currently pursuing Microsoft Azure AI Fundamentals (AI-900) to strengthen expertise in Azure AI services, machine learning, and enterprise AI solutions.
Basaveshwar Engineering College, Bagalkote
Bachelor of Engineering · Information Science and Engineering
August 1, 2020 – June 30, 2024
Banajawad Residential PU College, Athani
Science · PCMB
June 1, 2018 – May 31, 2020
Jawahar Navodaya Vidyalaya Kothali, Belagavi
10th
June 1, 2017 – May 31, 2018
Tata Consultancy Services
Systems Engineer (Digital profile)
April 1, 2025 – Present
Bengaluru, Karnataka, India
Insurance Policy Coverage Explanation Chatbot
June 1, 2026 – Present
Developed an AI-powered chatbot that allows users to upload insurance policy documents and ask coverage-related queries in natural language. Implemented a Retrieval-Augmented Generation (RAG) pipeline using chunking, embeddings, metadata filtering, and semantic search for accurate context retrieval. Integrated GPT-40 with guardrails to generate reliable and context-aware responses while minimizing hallucinations. Generated source-referenced answers with page number and paragraph details for improved transparency and traceability. Built preprocessing workflows for PDF text extraction, chunk management, and embedding generation to enhance retrieval accuracy. Enabled conversational context retention to support follow-up questions and interactive Q&A sessions. Optimized retrieval performance and response relevance using vector embeddings and metadata-based document indexing techniques.
Chat-Bot
June 1, 2026 – Present
Developed a chatbot using NLP to handle FAQs for an academic department. Implemented Retrieval-Augmented Generation (RAG) to improve response accuracy using structured data sources. Improved response accuracy by 50% through dataset refinement and optimization. Deployed on web and Telegram for multi-platform usage.
Mall Customer Segmentation
June 1, 2026 – Present
Performed data cleaning, visualization, and clustering using Python. Applied unsupervised learning techniques to segment customers based on behavior. Generated actionable insights for targeted marketing strategies.
Learning Management System
June 1, 2026 – Present
Developed a Learning Management System (LMS) using MongoDB, Express.js, React.js, and Node.js. Implemented user authentication and authorization with JWT for secure access (students, instructors, administrators). Designed and developed RESTful APIs for CRUD operations on courses, assignments, and user management. Integrated real-time video and audio streaming using WebRTC technology. Implemented WebRTC-based video conferencing in the LMS for live classes, enabling real-time audio, video, chat, and screen sharing capabilities. Utilized GitHub for version control, code storage, and collaborative teamwork.
Social Networks
NPTEL
June 1, 2026 – Present
Foundations of Cyber Security
Coursera
June 1, 2026 – Present
Microsoft Azure AI Fundamentals (AI-900)
Microsoft
June 1, 2026 – Present
TCS iON Career Edge - Young Professional
TCS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a blend of academic and professional projects, including a significant AI-focused project (Insurance Policy Chatbot) and a full-stack LMS. This diversity, coupled with certifications in AI Fundamentals and participation in technical events, suggests a strong interest in continuous learning and a good fit for an innovative, tech-driven environment. The 'Systems Engineer (Digital profile)' role at TCS, with its focus on AI/ML training and automation, aligns well with an AI Engineer role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted projects (e.g., Insurance Policy Chatbot, LMS). Participation in technical competitions and hackathons suggests a proactive and collaborative attitude. Experience with Jira and Agile implies an understanding of modern development workflows.