Software Engineer | AI & Machine Learning
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I'm an AI/ML engineer who enjoys building products that are as practical as they are intelligent. Whether it's developing full-stack applications, designing secure systems, or training machine learning models, I like turning complicated problems into solutions that people can actually use.
Over the past few internships, I've worked on everything from real-time React dashboards and secure data transfer systems at DRDO to explainable machine learning pipelines for healthcare. I enjoy working across the stack, learning new technologies quickly, and asking one simple question before writing code: "Will this actually make someone's job easier?"
Outside of engineering, you'll usually find me experimenting with new AI tools, optimizing workflows, or turning coffee into production-ready code.
Airports Authority of India (AAI)
Built a real-time aviation analytics dashboard that transformed manual data tracking into an interactive experience using ReactJS and REST APIs. Developed reusable UI components, collaborated across multiple teams, and focused on building scalable, maintainable interfaces that supported operational decision-making.
R&D Intern – Secure Systems
Defence Research and Development Organisation (DRDO)
Designed and developed a proof-of-concept software data diode to enable secure one-way communication between isolated networks. Worked extensively with Linux, networking, automation scripts, and technical documentation while improving deployment reproducibility and simplifying integration for future development.
Defence Research and Development Organisation (DRDO)
Developed an end-to-end machine learning pipeline for clinical data analysis, covering data preparation, feature engineering, model development, and explainability. Used SHAP to translate complex model decisions into clear, stakeholder-friendly insights, making the system both accurate and interpretable.
Bachelor of Engineering in Electronics and Instrumentation Engineering – Thapar Institute of Engineering and Technology (2023 – 2027)
