I’m a driven and versatile software engineer with an M.Eng. in Computer Science from Virginia Tech (May 2025) and a B.Tech. in Computer Science & Engineering from NIT Allahabad (May 2018). I have 5+ years of professional experience with high-performance consumer electronics at Samsung and with the SaaS-based startup Turvo, focusing on global supply-chain management. At Samsung, I led optimizations for UI responsiveness, power management, and memory efficiency across multiple OS features. At Turvo, I architected Spring Boot microservices, Elasticsearch-powered GraphQL APIs, and Python-driven data pipelines to streamline 200K+ shipments and boost supply-chain reliability.

At Virginia Tech, I’ve led full-stack, cloud-native projects end-to-end from a Kubernetes-managed Next.js/Node.js U-Pass system that cut student wait times by 50% to LifexAI, an AI-detective dashboard leveraging Google Gemini Vision, Chart.js, and real-time Framer Motion visualizations to increase anomaly-detection accuracy by 30%. I thrive at the intersection of Software Engineering, Cloud architecture and AI automating CI/CD with Docker and Vercel, designing scalable AWS Lambda pipelines, and applying advanced models (SARIMAX, LGBM, SHAP) to real-world challenges like gentrification forecasting and RAG enabled contract parsing.

Whether building resilient microservices, optimizing frontend performance, or deploying intelligent ML solutions, I bring great attention to reliability, security, and user experience. I’m now seeking opportunities in full-stack, cloud engineering, and AI to deliver impactful products at scale.