Bachelor of Engineering - BE

Data Engineer Intern

Building production Generative AI systems that automate high-friction enterprise
workflows — cutting manual effort by 60–70% across HR, engineering, and governance
functions.
Work spans the full stack: LLM-powered backends (Spring AI, AWS Bedrock, Azure OpenAI),
reactive microservices (Spring WebFlux), and React frontends — deployed on AWS with
API Gateway, Lambda, and EC2.
Key contributions:
→ Designed and deployed an agentic MCP server for HR policy resolution, reducing
  query turnaround from hours to minutes and deflecting ~25% of routine ServiceNow
  tickets via Virtual Agent integration
→ Built an AI-powered code review platform using Azure OpenAI that cut manual review
  effort by 60% and PR turnaround by 45% — analyzing 10,000+ lines per repo with
  non-blocking concurrent pipelines and Azure SSO
→ Developed an LLM-driven documentation automation system that slashed manual
  documentation effort by 70%, with multi-format ingestion (PDF, DOCX, plain text)
  and dynamic .docx tem

Associate Software Engineer

Trainee

- Built a WhatsApp chat analysis tool using Python, NLTK, and lexicon-based    sentiment models to extract customer engagement signals

 - Delivered a 20% increase in customer satisfaction scores and 15% reduction    in negative reviews by surfacing actionable sentiment trends - Developed the web interface using Flask + Jinja2 templating for real-time    sentiment visualization

Software Engineer Intern

Software Engineer

AI-focused Software Engineer with 2 years of experience specializing in production-grade GenAI, agentic MCP servers, and

Know about Chetan Pande's work experience, education, bootcamps, certifications, and much more. Chetan Pande