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About

Results-driven Full Stack Engineer with 2+ years architecting production-grade SaaS platforms and AI-powered automation systems serving 1,200+ concurrent users. Proficient across the full SDLC in Python, JavaScript/TypeScript, React.js, Node.js, FastAPI, and .NET Core, with deep hands-on expertise in LangChain, GPT-4, RAG pipelines, and agentic AI workflows. Track record of measurable delivery: 30%+ reduction in manual effort through intelligent automation, 30–40% faster data retrieval via database optimization, and 50% fewer deployment failures through CI/CD engineering. Strong foundation in cloud-native architecture (Docker, Kubernetes, AWS, Azure), enterprise security (RBAC, OAuth 2.0), and cross-functional Agile/Scrum delivery.

Experience1

  1. Software Engineer

    Jun 2024 — Present

    Saisatwik Technologies Pvt Ltd

    Led design and development of a multi-tenant SaaS project management platform supporting 1,200+ concurrent users using React.js, TypeScript, Node.js, FastAPI, and MongoDB. Optimized database schemas and caching to improve data retrieval speed by 30–40% and reduced API latency by 35%. Built AI automation features with LangChain, GPT-4, and RAG pipelines, decreasing manual coordination effort by 30%. Containerized services and implemented CI/CD pipelines cutting deployment errors by 40% and cycle time by 50%.Implemented RBAC and OAuth 2.0 for enterprise security. Led incident management reducing resolution time by 35% and accelerated feature delivery by 25% using AI-assisted tools.

Projects3

  • AI Document Automation & Intelligent Ticketing System

    Built an email-to-ticket automation platform using Microsoft Graph API with OAuth ingestion and idempotent, duplicate-safe background processing. Delivered RAG-based ticket classification, priority detection, and SLA routing, reducing manual triaging effort by over 50%. Automated audit-trail document generation saving 3 hours daily.

    • FastAPI
    • GPT-4
    • LangChain
    • RAG
    • Microsoft Graph API

  • Project Management SaaS Platform

    Delivered a scalable multi-tenant platform with task allocation, approvals, and real-time analytics dashboards, reducing feature cycle time by 25% with clean architecture. Achieved 30–40% faster data retrieval through MongoDB indexing and aggregation, and cut environment defects by 60% using Docker/Kubernetes CI/CD pipelines.

    • React.js
    • TypeScript
    • Node.js
    • FastAPI
    • MongoDB
    • Docker
    • Kubernetes
    • CI/CD

  • YouTube Clone & GlassFlow UI

    Built a responsive video-streaming application with real-time search and playback using YouTube Data API. Developed a Figma-to-code glassmorphism component library, improving frontend performance by 25%.

    • React.js
    • TypeScript
    • Tailwind CSS
    • YouTube Data API

Education1

  • B.Tech

    2018 — 2022

    Dr. A.P.J. Abdul Kalam Technical University

    Computer Science