Results-driven Full-Stack Engineer with over a year of experience architecting scalable cloud-native platforms and deploying production machine-learning models. Proven expertise in AWS infrastructure, FastAPI microservices, and applied AI/ML solutions — with a strong grounding in security best practices and DevOps.
Comfortable operating across the stack: from designing systems that hold up under 10,000+ requests per second, to training models that ship, to explaining the trade-offs to non-technical stakeholders. Currently deepening that foundation with an M.Sc. in Computer Science at TU Dresden, focused on AI and distributed systems.
Three results from national and international competitions — each one a full build, judged and scored against a clock.
Competed against developers and students from across the region, solving problems under time pressure and writing efficient, high-quality code.
Reinforcement-learning engine detecting known and zero-day vulnerabilities. Automated security testing at 99%+ accuracy, cutting manual audits from hours to seconds.
Integrated digital ecosystem for cross-departmental resource sharing, collaborative task management, and scheduling — delivering measurable cost and efficiency gains.
Biodiversity documentation platform: a comprehensive plant database with advanced search, responsive design, and multimedia educational content.
View detailsInteractive travel guide web app with dynamic search, multilingual support, image galleries, and user reviews and recommendations.
View detailsStatistical analysis and interactive visualization of national employment trends using Python — pandas, matplotlib, and seaborn.
View detailsCloud-based dairy feed intelligence platform with AI demand forecasting, dynamic pricing, and inventory management. Selected for the AWS Hackathon at IIT Bombay.
View detailsAI-assisted roadside assistance platform connecting stranded drivers with nearby mechanics in real time, with live tracking and an AI diagnostic assistant.
View detailsRenewable energy prediction platform forecasting solar and wind generation from weather data, with interactive dashboards and historical analytics.
View detailsA custom transformer-based language model trained on the Constitution of India, answering constitutional questions with context-aware responses.
View detailsJournal of Advanced Research in Applied AI and Neural Networks, Vol. 9, Issue 2, 2025
Conference Paper · ID BVCON49 — AICTE-VAANI Bilingual National Conference on Demystifying AI & Data Science, Bharati Vidyapeeth University, Sept 2025