Highly motivated Full-Stack Developer with emerging expertise in GenAI, seeking to leverage advanced development skills to build cutting-edge AI-powered products. Committed to continuous learning and innovation within dynamic, high-ownership environments.
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Summary
Actively contributing to a GenAI team, focusing on integrating advanced GenAI capabilities into the software development lifecycle. Spearheaded the development of a key platform and optimized application performance using cloud services.
Highlights
Contributed to a GenAI team, integrating advanced GenAI capabilities into the software development process.
Acquired and applied proficiency in key technologies including Spring Boot, Microservices, JWT Security, Docker, Kubernetes, AWS, and React.
Spearheaded the end-to-end development of the QuickFix Home Services platform from scratch.
Collaborated cross-functionally to optimize application performance and scalability through strategic implementation of cloud services.
Java, Python, C, C++.
Spring Boot, React, Flutter, LangChain.
MongoDB, MySQL, FAISS VectorDB, Pinecone.
AWS, Docker, Kubernetes, Firebase.
JWT Security, Microservices, RAG Pipelines, Postman, GitHub, Figma, Android Studio, Azure OpenAI API, FastAPI, Vector Embeddings.
Communication Skills, Teamwork, Problem-Solving, Time Management.
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Summary
Developed a Retrieval-Augmented Generation (RAG) system that integrates with platforms like GitHub, Jira, Confluence, and Slack. This system indexes data into a FAISS vector database, enabling natural language queries that return accurate answers along with direct URLs to the source content.