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Swapnil PandaSP
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Swapnil Panda

@swapnilpanda

I build full-stack Java and AI applications with Spring Boot, React, and LLM automation.

India
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What I'm looking for

I'm looking for a Software Development Engineer role where I can build high-quality Java, Spring Boot, React, and AI-powered products while growing through hands-on engineering work and collaborative Agile delivery.

I built backend features and LLM-powered reporting automation at Plant Green Inertia, delivering eight RESTful endpoints for an internal reporting module and a Flask service that summarized five report categories.

I've developed production-ready full-stack projects including PayGenius, a FinTech expense and budget tracker with secure JWT authentication, validated APIs, and PostgreSQL/MySQL data models. I also built Teamflow, where LLaMA automatically categorizes user tasks through a React and Next.js interface.

For a medical recommendation chatbot, I created a RAG pipeline indexing 500+ medical documents in Pinecone and connected Azure OpenAI, Google Maps API, and Flask to generate specialist recommendations grounded in clinical sources.

I'm an MCA graduate specializing in Generative AI and eager to contribute as a Software Development Engineer. I bring hands-on experience across Java, Spring Boot, React.js, Python, PostgreSQL, LLM integration, and collaborative Agile delivery.

Experience

Work history, roles, and key accomplishments

plant Green Inertia Private Limited logoPL

Fullstack Developer

plant Green Inertia Private Limited

Dec 2025 - Mar 2026 (3 months)

Developed 8 RESTful API endpoints using Spring Boot and React.js for an internal reporting module, streamlining the team's weekly reporting workflow.
Built a Python and Flask service integrated with an external LLM API to automatically summarize 5 report categories using targeted prompt engineering, reducing manual summarization effort.

Education

Degrees, certifications, and relevant coursework

SRM Institute of Science and Technology logoST

SRM Institute of Science and Technology

MCA, Computer Application

2024 - 2026

Grade: 9.20

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