I work as a Test Engineer at QualityKiosk Technologies, where I build GenAI‑based QA solutions that automatically extract and generate test cases from complex BRDs using RAG, LangChain, FAISS, and OpenAI APIs. This has helped reduce manual test‑case effort by over 70% and improved requirement‑to‑test traceability. My core skills include Python, SQL, machine learning, deep learning, GenAI, Django, Streamlit, PostgreSQL, and MySQL, along with tools like Git, GitHub, Jira, and Postman. I have built projects such as an AI database chatbot, a full‑stack blog application, a video‑coaching platform, and a real‑time finance complaint‑classification system using Apache Spark and ML. I completed my B.Tech in CSE (Data Science) with an 8.92 CGPA and am pursuing an M.E. in CSE (Data Science) with an 8.6 CGPA, backed by strong coursework in AI, ML, cloud computing, big data analytics, and core CS subjects. I’ve received an Academic Excellence Award (top 3 in my batch) and solved 350+ coding problems across platforms. On Topmate, I help students and professionals with GenAI, QA automation, data science fundamentals, project building, and career guidance in AI/ML and software engineering.