About Me
Final-year B.Tech (CS - AI & ML) with two internships and three production projects. Experienced in full-stack development, RESTful API design, microservices, and scalable data pipelines using Python, JavaScript, and SQL…
Final-year B.Tech (CS - AI & ML) with two internships and three production projects. Experienced in full-stack development, RESTful API design, microservices, and scalable data pipelines using Python, JavaScript, and SQL. Hands-on with AWS, Azure, Docker, and CI/CD; strong foundation in system design, OOP, TDD, and Agile/Scrum.Apart from technical experiences , I have 1 year experience as a sales associate at pnb MetLife.
Experience
Sales Executive
<p>Generate and qualify leads through networking, referrals, and field visits.</p><p>Promote and sell PNB MetLife insurance products to potential customers.</p><p>Understand customer needs and recommend suitable insurance solutions.</p><p>Build and maintain strong relationships with new and existing clients.</p><p>Explain policy features, benefits, and terms clearly to customers.</p><p>Achieve monthly and quarterly sales targets.</p><p>Follow up with prospects and ensure timely policy closures.</p><p>Maintain accurate records of customer interactions and sales activities.</p><p>Coordinate with bank branches and internal teams to support business growth.</p><p>Provide excellent after-sales service and assist customers with policy-related queries.</p>
Artificial Intelligence Intern
<p>Architected a RAG-based Q&A microservice (LangChain, FAISS, FastAPI, PostgreSQL) with OpenAPI docs; reduced document lookup time 5x with ~90% factual alignment on test set.</p><p> Engineered 3 end-to-end ML classification pipelines with automated preprocessing modules; cut data-preparation time by 30%.</p><p> Wrote unit & integration tests (pytest, 85%+ coverage); applied CI/CD (GitHub Actions) for linting, testing, and deployment.</p><p> Standardised team system architecture docs and evaluation dashboards; improved contributor onboarding speed.</p>
Data Science Intern
<p>Analysed large structured datasets (Python, SQL) to surface actionable insights supporting data-driven decision-making.</p><p> Built supervised ML models (Scikit-Learn) with feature engineering and hyperparameter tuning; presented results via Tableau & IBM Cognos dashboards.</p>