With over 2 years of experience as a Software Engineer, I build scalable frontend and full stack systems that prioritize reliability, performance, and clean architecture. My work spans complex UI workflows, REST API integrations, and data-driven backend systems across security and supply chain domains. At Splunk, I owned end-to-end development of structured data workflows using React and TypeScript, strengthening server-state synchronization and improving test stability. Previously at TCS, I worked on AI-driven Cost-to-Serve optimization models and Azure-based logistics systems to enhance operational efficiency. Currently pursuing a Master's in Computer Science at NYU, I focus on machine learning, distributed systems, and scalable software design. I approach engineering by understanding user behavior, system constraints, and long-term maintainability before writing code.
Software Developer with 2+ years of experience driving business strategies through data-driven insights. Proven expertise in data science, statistical analysis, machine learning algorithms and project management.
Management of Technology - Capstone
Splunk Security Orchestration, Automation and Response (SOAR)
Introduction to Machine Learning course
Retail Strategic Initiatives, Supply Chain
Retail Strategic Initiatives, Supply Chain
Robotics Department
Grade: First class distinction.
Below are the Paper Publications, Book chapters and Patents.
Below are some of my recent software engineering projects.
Below are the details to reach out to me!
New York, NY - United States