Aspiring AI Engineer | Agentic AI
Hyderbad
I love solving real-world problems by building apps around innovative ideas and using new technologies to address them. I am deeply interested in Generative AI, AI agents, and backend development, with hands-on experience exploring open-source frameworks such as LangChain, Google ADK, and Python. Across various projects, I have designed AI-based applications, document question-answering systems, and full-stack applications. I am eager to learn and expand my knowledge of technologies and approaches. I look forward to meeting like-minded people in AI and software development, and joining organizations that encourage continuous learning and the exchange of innovative ideas and approaches.
Full Stack Intern
CodeSprint
Multi-Document RAG Intelligence Platform
Built a RAG-based platform for conversational querying across 100+ PDF, DOCX, and TXT documents using LangChain, FAISS, and OpenAI embeddings, with optimized chunking and semantic retrieval for improved response relevance. Developed a Streamlit chat interface with conversational memory, delivering context-aware responses with 2–4 second latency
Multi-Agent Resume Analysis System
Built a multi-agent AI platform that analyzes resumes against job descriptions to generate skill-gap insights and career recommendations using LiteLLM and Google ADK. Developed FastAPI APIs with Pydantic validation to automate resume parsing and recommendation generation, delivering reliable outputs with sub-2s latency.
Bachelor's
Chaitanya Bharathi Institute Of Technology
IBM RAG and Agentic AI Professional Certificate
IBM & COURSERA
Jul 2026Attendee · Oct 24, 2026