I am a Software Engineer with experience in regulatory reporting, software development, and AI-powered workflow automation. I currently work at Nasdaq as an Analyst Software Engineering, where I contribute to regulatory reporting projects using Python, SQL, Excel, and AxiomSL.
I have experience integrating regulatory report templates, developing AxiomSL scripts, and supporting compliance workflows for global financial regulations. My work has included improving reporting processes and reducing manual effort through automation.
I am particularly interested in generative AI and agentic systems. I have integrated AI agent APIs with FastAPI and developed Streamlit interfaces that make AI-generated outputs accessible within internal regulatory-processing platforms.
My technical background includes Java, Python, SQL, machine learning, retrieval-augmented generation, vector search, and data analysis. I have built projects using LangChain, LangGraph, FAISS, Firebase, PostgreSQL, and Streamlit.
I hold a Master of Computer Applications with a 9.5/10 CGPA and a Bachelor of Science in Information Technology. I also hold Oracle Cloud Infrastructure certifications in AI Foundations and Foundations.
I am motivated by building reliable software products that combine scalable engineering with practical AI capabilities, especially in financial technology, automation, and intelligent information-retrieval applications.
