# Utsha Ghosh > Full Stack Engineer | AI/LLM Systems | Building Production GenAI Apps & High-Scale Distributed Systems | React • Node • AWS Location: Hicksville, New York, United States Profile: https://flows.cv/utsha 🚀 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. What I specialize in: 🔹 Full Stack — React.js, Next.js, TypeScript, Redux, Node.js, Express.js, RESTful APIs, PostgreSQL, Redis, MongoDB 🔹 AI & LLM Engineering — LangChain, LlamaIndex, RAG pipelines, prompt engineering, model fine-tuning (QLoRA), HuggingFace, AI agents, semantic search, ChromaDB, vector databases 🔹 Cloud & DevOps — AWS (EC2, S3, Lambda, CloudFront), Docker, Kubernetes, Terraform, Jenkins, GitHub Actions, CI/CD 🔹 Architecture — Microservices, Apache Kafka, ETL pipelines, event-driven systems, distributed systems, system design I'm passionate about building systems that don't just work — they scale intelligently. Whether that's a pixel-perfect React frontend, a high-throughput backend API, or an LLM-powered agent that automates complex workflows, I bring both the engineering rigor and AI intuition to ship it end-to-end. M.S. Computer Science — NYIT | Certified: LLM Engineering, RAG, QLoRA, AI Agents Open to Full Stack · AI Engineer · Backend Engineer roles in New York & remote. 📩 utsaghosh2024@gmail.com ## Work Experience ### Software Engineer @ SpringBoard Incubators Inc Jan 2023 – Present | Garden City, New York, United States Built and scaled an AI-powered e-learning platform for 100K+ users, delivering secure video streaming, responsive dashboards, and real-time learning analytics. • Developed and scaled the E-Learning platform from 5K to 100K+ users, enhancing performance and reliability across web and mobile clients. • 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. • Built React.js + TypeScript dashboards with lazy loading and API caching, improving page load speed by 35% and cutting network payload by 30%. • Integrated GraphQL APIs to replace REST endpoints, streamlining data fetching and reducing over-fetching by 25%. • Enhanced API performance through query optimization and caching, supporting up to 2K+ concurrent requests with sub-300ms response times. • Implemented server-driven UI components, enabling feature experimentation without redeployments and accelerating A/B testing cycles by 50%. • Deployed CI/CD pipelines via GitHub Actions and Docker, reducing deployment times from hours to under 15 minutes. • Added AWS CloudWatch observability and structured event logging, decreasing mean-time-to-detect (MTTD) by 30% for production incidents. • Collaborated with AI teams to integrate LangChain and OpenAI API into a student-facing chatbot, cutting manual support tickets by 25%. • Partnered with design and product to deliver accessibility-compliant, responsive UIs, increasing student satisfaction scores by 18%. ### Full Stack Developer @ Boneflare Wellness Jan 2020 – Jan 2021 | Shiliguri, West Bengal, India Developed full-stack healthcare analytics tools for real-time patient monitoring, improving data performance, system reliability, and deployment efficiency. • Developed a responsive React + TypeScript dashboard for healthcare analytics, improving engagement by 20%. • Refactored legacy JavaScript into modular TypeScript components, reducing bugs by 35%. • Optimized API workflows and caching, cutting data-fetch latency by 30%. • Tuned performance with Webpack and Lighthouse audits to sustain 60 FPS rendering. • Collaborated with backend engineers to design RESTful endpoints in Node.js, improving data reliability and synchronization. • Implemented CI/CD pipelines with GitHub Actions, reducing deployment time by 40% and improving release consistency. ### Software Engineer @ Atoll Solutions Jan 2018 – Jan 2020 | Bengaluru, Karnataka, India Engineered scalable geospatial tracking systems for 300K+ devices, optimizing APIs, dashboards, and map-based data visualization for high performance and uptime. • Scaled a real-time asset tracking system from 2K to 300K+ active users, optimizing data flow, backend throughput, and frontend rendering speed. • Re-architected Google Maps API integrations using asynchronous updates and WebSockets, reducing map refresh latency by 60% and supporting 10K+ simultaneous updates. • Migrated API infrastructure to Node.js microservices with Redis caching, achieving sub-200ms average response time and improving scalability by 5×. • Implemented sharded PostgreSQL database models and load balancing with NGINX, sustaining 10× growth in concurrent traffic without downtime. • Built interactive D3.js and Recharts dashboards for visualizing 100K+ tracked devices, increasing system usability scores by 30% among field operators. • Containerized services using Docker and deployed auto-scaling infrastructure on AWS EC2, maintaining 99.9% uptime during peak operations. • Optimized geospatial query performance through indexing and parallelization, reducing computation time by 45% for complex multi-region queries. • Enhanced frontend code efficiency by modularizing React components, cutting redundant re-renders by 25% and improving maintainability. • Collaborated with product and client teams to implement multi-tenant user management and secure API authentication, ensuring 100% compliance with enterprise data standards. ## Education ### Master of Science - MS in Computer and Information Sciences, General New York Institute of Technology Jan 2022 – Jan 2024 ### Bachelor's degree in EEE Kalinga Institute of Industrial Technology, Bhubaneswar Jan 2014 – Jan 2018 ### Undergraduate Kendriya Vidyalaya Jan 2008 – Jan 2014 ## Contact & Social - LinkedIn: https://linkedin.com/in/utsha-ghosh - Website: https://utsaghosh15.github.io/ --- Source: https://flows.cv/utsha JSON Resume: https://flows.cv/utsha/resume.json Last updated: 2026-04-01