Software Development Engineer | Entry Level | LangChain, RAG, MySQL, Python, FastAPI, React.js, OOP

I’m a Computer Science & Engineering (Data Science) undergraduate with a strong interest in AI/ML, Generative AI, NLP, and software engineering. I enjoy solving problems, learning new technologies, and building practical applications that combine strong software fundamentals with modern AI. My technical foundation includes Data Structures & Algorithms, Object-Oriented Programming, DBMS, Operating Systems, Computer Networks, and SQL, along with hands-on experience in Python, C++, JavaScript, React, FastAPI, PostgreSQL, REST APIs, and Git.

I have worked on real-world and product-oriented projects, including Fujitek Solar Energy, a production web platform with an AI-powered sales assistant, and AskMyDB, a Text-to-SQL platform designed to allow users to interact with databases using natural language. Through these projects, I have gained practical experience in backend development, databases, API design, LLM integration, RAG, embeddings, and building AI-powered workflows.

Alongside software development, I have a strong interest in AI research. I co-authored a research paper on Cyberbullying Detection, which was accepted at ICICV 2026, where I also presented the research work. This experience strengthened my interest in applying machine learning and NLP to real-world problems and understanding AI beyond application-level usage.

Currently, I am exploring modern Generative AI systems, including LLMs, RAG, vector databases, tool calling, structured outputs, agentic workflows, LangChain/LangGraph, and AI evaluation. I aim to build scalable, reliable, and useful AI applications while continuously strengthening my core computer science fundamentals. My long-term goal is to grow as an AI/ML engineer and researcher, working on meaningful problems at the intersection of software engineering and intelligent systems.