Hi, I'm Biswajit Saha
I build the platforms that make AI accessible. With 8+ years of experience spanning enterprise web platforms and cutting-edge AI systems, I specialize in turning complex ideas into scalable, production-grade products — from intuitive React interfaces to robust Python backends, Kubernetes deployments, and RAG-powered intelligent agents.
About Me.
Building intelligent systems that scale
I'm a Senior Full Stack Engineer based in Austin, TX with a passion for building platforms at the intersection of web engineering and AI. My career arc spans from enterprise MERN stack applications to modernizing large-scale e-commerce platforms, and now to architecting AI agent management systems at Dell Technologies.
I hold a Master's in Computer Science from UT Austin and am an AWS Certified Developer. I thrive on turning complex technical challenges into elegant, user-friendly products — whether that means designing RAG pipelines, orchestrating multi-agent systems, or crafting pixel-perfect React interfaces.
Experience.
A decade of building at scale — from enterprise platforms to AI systems
Senior Software Engineer
Architecting a full-stack platform that automates creation, deployment, and lifecycle management of AI-powered digital agents — transforming a manual, multi-team setup process into a self-service experience that deploys agents in under one minute.
- Designed a guided self-service platform enabling users to configure, deploy, and manage AI agents with validation and opinionated defaults
- Built scalable React dashboards for agent management, conversation history, analytics, and role-based access control
- Implemented backend services as the control plane for agent lifecycle management, authentication, authorization, and rate limiting
- Built asynchronous knowledge ingestion pipelines — parsing, semantic chunking, embedding, and retrieval-ready storage
- Implemented RAG pipelines ensuring responses are grounded in permission-filtered contextual data
- Integrated multi-agent orchestration workflows coordinating retrieval, reasoning, validation, and response formatting
- Deployed on Kubernetes with independent horizontal scaling, load balancing, and rolling deployments
- Implemented observability using Prometheus and Grafana for latency, error rates, and system health monitoring
Built a graph-based analytics solution for efficient repair data exploration and business insights delivery.
- Developed graph-based analytics using Neo4j and GraphQL for efficient querying and data analysis
- Built React and Next.js dashboards delivering actionable insights to business teams
- Automated deployments using Docker and Kubernetes for scalability and resilience
Software Engineering Intern
InternshipGRAND Stack Application
Built applications using the GRAND stack for dynamic graph data exploration.
- Designed and developed applications using GraphQL, React, Apollo, and Neo4j
- Optimized GraphQL queries improving performance and user responsiveness
- Collaborated within Agile teams using GitLab and JIRA workflows
Software Engineer
E-Commerce Platform Modernization
Modernized Lowes.com by migrating legacy monolithic systems to a modern microservices architecture.
- Led migration of FerrisWheel & Iron Squirrel projects from WCS/JSP to Spring Boot, Node.js, Docker, and Kubernetes
- Designed and optimized CI/CD pipelines with Kubernetes and GitLab, reducing release cycles from 2 weeks to 3 days
- Enhanced application reliability by integrating Redis caching, improving response times by 30%
- Migrated customer-facing experiences to React + Node.js architecture, boosting engagement and page load speeds by 35%
Software Engineer
Enterprise Applications
Developed enterprise MERN stack applications supporting large concurrent user bases.
- Built QUIZART, a MERN-stack quiz game handling 10K+ concurrent users via microservices
- Delivered Invest-VISA, an HR portal that streamlined processes and cut manual workflows by 50%
- Containerized applications with Docker, reducing environment setup time by 60%
Featured Projects.
Highlights from my work across enterprise platforms and AI systems
Dell Technologies
AI Agent Management Platform
Transformed a previously manual, multi-team setup process into a self-service experience. Users configure, deploy, and manage AI agents with validation and intelligent defaults. Features include RAG pipelines, multi-agent orchestration, knowledge ingestion, and permission-filtered retrieval — all deployed on Kubernetes with full observability.
Dell Technologies
Graph Analytics for Repair Data
Built a comprehensive graph analytics platform that leverages Neo4j's graph database capabilities combined with GraphQL for flexible querying. Frontend dashboards built with React and Next.js deliver actionable insights to business teams, with automated deployments via Docker and Kubernetes ensuring scalability.
Lowe's
Lowe's E-Commerce Modernization
Spearheaded the modernization of one of the largest home improvement e-commerce platforms. Migrated critical projects from WCS/JSP to Spring Boot and Node.js microservices, containerized with Docker and orchestrated on Kubernetes. Implemented Redis caching and optimized CI/CD pipelines for rapid, reliable releases.
Technical Skills.
Technologies and tools I work with across the full stack
Frontend
Backend & APIs
AI & Intelligent Systems
Cloud & Infrastructure
Databases
Observability & Tools
Education & Certifications.
Academic foundation and professional credentials
Education
Master of Science (M.S.)
Computer Science
The University of Texas at Austin
2019 – 2021
Bachelor of Technology (B.Tech.)
Computer Science & Engineering
Biju Patnaik University of Technology
2011 – 2015
Certifications
AWS Certified Developer – Associate
Amazon Web Services
2023
MERN Stack Certification
Wipro Technologies
2016
React – The Complete Guide (Next.js & Redux)
Udemy
2025
Get in Touch.
Have a project in mind or just want to connect? I'd love to hear from you.
Whether it's about a collaboration, a role, or just a conversation about tech — feel free to reach out. I typically respond within 24 hours.