[KumarAmanSagar]
Full Stack & AI Engineer with 3+ years of production experience building autonomous AI agent networks, RAG vector pipelines, and high-concurrency micredrvices on AWS ECS, Docker, and Redis.
Full Stack & Real-Time AI Agents
AWS ECS Multi-Tenant Micredrvices
220ms to <130ms via Redis Caching
Automated Docker & CI/CD Pipelines
About Kumar
I am a Full Stack & AI Application Engineer based in Bengaluru with 3+ years of battle-tested experience building and scaling software systems.
My focus centers on combining modern web user interfaces with intelligent backend agent systems. At I2 Global Virtual Learning, I engineered an AI assistant platform utilizing streaming LLM APIs that reduced API response times by 40% and improved concurrency across distributed cloud services.
TypeScript • Next.js • React • Node.js • Python • FastAPI • Docker • AWS ECS • Redis • PostgreSQL • MongoDB
Autonomous AI Agents & RAG
Architecting low-latency LLM agent workflows, vector retrieval with pgvector/Pinecone, and real-time Server-Sent Events (SSE) streaming.
High-Concurrency Cloud Systems
Deploying resilient containerized micredrvices on AWS ECS, Docker, and Redis caching layers that sustain 99.9% uptime under high traffic.
Modern Full Stack Engineering
Building typed, high-performance web applications using React, Next.js, TypeScript, and FastAPI with clean domain-driven architecture.
Key Projects
Production-grade systems highlighting AI automation, distributed queue pipelines, and cloud micredrvices.
AI-Powered Smart Campaign & Mail Queue Engine
A full-stack automation platform featuring a Next.js UI and an asynchronous Python/Flask backend integrated with LLM APIs for automated content customization.
AI-Powered Smart Campaign & Mail Queue Engine
A full-stack automation platform featuring a Next.js UI and an asynchronous Python/Flask backend integrated with LLM APIs for automated content customization.
Cloud-Native Automated CI/CD & AI Micredrvices Pipeline
An enterprise-grade CI/CD pipeline using GitHub Actions, Docker, and AWS ECS to deploy containerized full-stack and AI service endpoints.
Apartment Facility Management
A comprehensive apartment facility management dashboard and login portal.
Work Experience
Hands-on engineering across AI agent integrations, high-throughput micredrvices, and distributed cloud systems.
Full Stack & AI Developer
- Architected and integrated an interactive AI assistant into the core learning platform, automating student query resolution using LLM APIs and Server-Sent Events (SSE) for low-latency streaming responses.
- Engineered scalable backend micredrvices using Node.js and TypeScript on AWS ECS, sustaining 99.9% platform availability across multi-tenant production systems.
- Developed responsive, accessible learning dashboards with React.js and TypeScript, reducing client-side bundle size and accelerating initial page load by 30%.
- Implemented Redis caching and PostgreSQL query indexing for frequently retrieved contextual documents, reducing API latency from 220ms to under 130ms (40% gain).
- Constructed automated CI/CD pipelines via GitHub Actions and Docker, accelerating feature delivery cycles by 35% with zero-downtime rolling updates.
Full Stack Developer
- Built responsive, data-intensive telemetry dashboards using React.js and Tailwind CSS to track and visualize IoT smart energy usage in real time.
- Designed Python and Node.js RESTful data ingestion pipelines to process, parse, and store high-frequency sensor readings with Redis rate-limiting.
- Automated anomaly detection alerts on incoming sensor data streams using background Python workers and AWS CloudWatch notifications.
- Containerized application micredrvices with Docker to maintain strict environment parity across staging and production Kubernetes environments.
- Configured AWS S3 and RDS automated backup policies to guarantee zero data loss disaster recovery readiness.
Web Developer Intern
- Engineered modular, mobile-responsive web interfaces with React.js and JavaScript (ES6+) based on Figma designs and functional specifications.
- Integrated frontend views with third-party backend REST APIs and managed component-level asynchronous state using React Context API.
- Participated in cross-browser compatibility testing, unit test writing, and daily agile sprint standups.
Technical Arsenal
Core technologies, architectural patterns, and verified engineering credentials.
AI Engineering & Integrations
Frontend Development
Backend & APIs
Databases & Caching
Cloud & DevOps
Let's Connect
Available for full-time engineering roles, AI agent integrations, and scalable full-stack web applications.