Full Stack Engineer | AI/LLM Systems | Building Production GenAI Apps & High-Scale Distributed Systems | React • Node • AWS
🚀 Software Engineer | Full Stack · AI/LLM Engineering · React · Node.js · Python · AWS
I build end-to-end intelligent systems — combining full stack engineering with cutting-edge AI to deliver platforms that are fast, scalable, and smart.
Built and scaled an AI-powered e-learning platform for 100K+ users, delivering secure video streaming, responsive dashboards, and real-time learning analytics.
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Developed and scaled the E-Learning platform from 5K to 100K+ users, enhancing performance and reliability across web and mobile clients.
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Architected and optimized adaptive bitrate video streaming using AWS S3, CloudFront, and HLS, reducing buffering by 40% and achieving 99.97% uptime for 100K+ active users.
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Built React.js + TypeScript dashboards with lazy loading and API caching, improving page load speed by 35% and cutting network payload by 30%.
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Integrated GraphQL APIs to replace REST endpoints, streamlining data fetching and reducing over-fetching by 25%.
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Enhanced API performance through query optimization and caching, supporting up to 2K+ concurrent requests with sub-300ms response times.
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Implemented server-driven UI components, enabling feature experimentation without redeployments and accelerating A/B testing cycles by 50%.
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Deployed CI/CD pipelines via GitHub Actions and Docker, reducing deployment times from hours to under 15 minutes.
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Added AWS CloudWatch observability and structured event logging, decreasing mean-time-to-detect (MTTD) by 30% for production incidents.
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Collaborated with AI teams to integrate LangChain and OpenAI API into a student-facing chatbot, cutting manual support tickets by 25%.
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Partnered with design and product to deliver accessibility-compliant, responsive UIs, increasing student satisfaction scores
Developed full-stack healthcare analytics tools for real-time patient monitoring, improving data performance, system reliability, and deployment efficiency.
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Developed a responsive React + TypeScript dashboard for healthcare analytics, improving engagement by 20%.
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Refactored legacy JavaScript into modular TypeScript components, reducing bugs by 35%.
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Optimized API workflows and caching, cutting data-fetch latency by 30%.
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Tuned performance with Webpack and Lighthouse audits to sustain 60 FPS rendering.
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Collaborated with backend engineers to design RESTful endpoints in Node.js, improving data reliability and synchronization.
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Implemented CI/CD pipelines with GitHub Actions, reducing deployment time by 40% and improving release consistency.
Engineered scalable geospatial tracking systems for 300K+ devices, optimizing APIs, dashboards, and map-based data visualization for high performance and uptime.
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Scaled a real-time asset tracking system from 2K to 300K+ active users, optimizing data flow, backend throughput, and frontend rendering speed.
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Re-architected Google Maps API integrations using asynchronous updates and WebSockets, reducing map refresh latency by 60% and supporting 10K+ simultaneous updates.
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Migrated API infrastructure to Node.js microservices with Redis caching, achieving sub-200ms average response time and improving scalability by 5×.
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Implemented sharded PostgreSQL database models and load balancing with NGINX, sustaining 10× growth in concurrent traffic without downtime.
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Built interactive D3.js and Recharts dashboards for visualizing 100K+ tracked devices, increasing system usability scores by 30% among field operators.
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Containerized services using Docker and deployed auto-scaling infrastructure on AWS EC2, maintaining 99.9% uptime during peak operations.
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Optimized geospatial query performance through indexing and parallelization, reducing computation time by 45% for complex multi-region queries.
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Enhanced frontend code efficiency by modularizing React components, cutting redundant re-renders by 25% and improving maintainability.
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Collaborated with product and client teams to implement multi-tenant user management and secure API authentication, ensuring 100% compliance with enterprise data standards.
Education
2022 — 2024
New York Institute of Technology
Master of Science - MS
2022 — 2024
2014 — 2018
Kalinga Institute of Industrial Technology, Bhubaneswar