chidvilas kumkapalla
@chidvilaskumkapalla
Data science and GenAI intern at Innomatics who deployed RAG chatbots and an MLflow sentiment pipeline.
IndiaWhat I'm looking for
At Innomatics, I architected and deployed MEDHA!, a RAG question-answering chatbot using Amazon Bedrock, Nova Pro, and OpenSearch. It included multi-turn conversational memory and cited responses, helping reduce knowledge lookup time by eliminating manual document searches.
I also built and deployed MindEase, a domain-specific AI chatbot using the Google Gemini API, with prompt engineering and conversational memory. I deployed it on AWS EC2 with secure environment configuration and continuous availability.
For Flipkart review sentiment analysis, I developed an MLOps pipeline that tracked experiments with MLflow and orchestrated training with Prefect. The best-performing model reached an F1-score of 0.96.
My projects include Beyond FOMO, an agentic AI information assistant, and a clinical readmission prediction application. I’ve also built data analytics and forecasting projects using Python, SQL, Power BI, and web technologies, and deployed a VM-hosted web application during my cloud computing internship at 1Stop.
Experience
Work history, roles, and key accomplishments
Data Science with GenAI Intern
Innomatics
Nov 2025 - Apr 2026 (5 months)
Architected and deployed RAG-based chatbots and MLOps pipelines, including sentiment analysis with MLflow and Prefect. Built production-ready AI solutions on AWS EC2.
Cloud Computing Intern
1Stop
Deployed and configured a scalable VM on Microsoft Azure to host a web application, ensuring 99.9% uptime. Gained practical experience in cloud infrastructure management and full-stack deployment on AWS.
Education
Degrees, certifications, and relevant coursework
Dr. B. R. Ambedkar National Institute of Technology Jalandhar
Bachelor of Technology, Information Technology
2020 - 2024
Grade: 7.32 CGPA
Pursued a Bachelor of Technology in Information Technology with a CGPA of 7.32.
Narayana Junior College
Higher Secondary, Higher Secondary
2018 - 2020
Grade: 9.46 CGPA
Completed Higher Secondary education with a CGPA of 9.46 and achieved 99.29 percentile in JEE Mains 2020.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Salary expectations
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