Available for work

    Hi, I'm Jiten Mohanty

    Full Stack Developer building scalable, performance-tuned platforms — currently powering AI-driven retail products for Fortune 500 FMCG clients including PepsiCo.

    Download ResumeContact Me

    jiten@portfolio ~ /stack

    01

    const engineer = {

    02

    focus: "AI platforms",

    03

    scale: 10,000+ users,

    04

    latency: < 2s,

    05

    craft: [

    06

    "reliable systems",

    07

    "measurable impact"

    08

    ],

    09

    };

    10

    await engineer.ship();

    Current stack

    Next.jsNode.jsPostgreSQLRedisDockerAWS

    90% → 2%

    Server CPU

    10,000+

    Platform users

    PepsiCo

    Enterprise client

    Impact in production

    Engineering measured in outcomes.

    Performance, reach, and reliability improvements from systems built for real teams and enterprise workloads.

    Server CPU usage

    90%2%
    Before90%
    After optimization2%

    Query-plan improvements, strategic indexes, and parallel database connections brought peak query latency under 2 seconds.

    Image recognition pipeline

    30s10s
    Pipeline time3× faster

    Worker Threads and algorithmic improvements reduced image recognition processing from 30 seconds to 10 seconds.

    10,000+

    Platform users

    Across enterprise retail operations

    10L+

    Stores reached

    Serving FMCG field teams

    10k+

    Daily jobs

    Processed through BullMQ pipelines

    25%

    Faster APIs

    Through indexing and Redis caching

    About me

    Building products that make work better.

    Full Stack Developer specialized in building scalable web platforms using PERN, MERN, and Next.js stacks. I focus on backend performance optimization, containerized microservices with Docker, and production observability with Grafana. Currently building AI-driven platforms serving Fortune 500 FMCG clients including PepsiCo — where I reduced server CPU from 90% to 2% and cut image recognition latency from 30s to 10s.

    Focused on practical AI, system performance, and product quality.

    Based in

    Bhubaneswar

    Odisha, India

    Experience

    2+ years

    Full stack development

    Currently building at

    ShelfEx

    AI-driven retail products

    Education

    Academic background

    MCA (Computer Application)

    Biju Patnaik University, Rourkela

    CGPA 8.89 · 2020 – 2022

    BSC (Mathematics)

    Utkal University, Bhubaneswar

    CGPA 7.04 · 2016 – 2019

    Certifications

    Courses & recognition

    • NPTEL clear on IoT, Cloud Computing and AI
    • Intern on JAVA at PieInfo Com
    • Core Java Excellence with DSA at Coding Ninjas
    • Frontend With Excellence at Coding Ninjas
    • React.js With Excellence at Coding Ninjas
    • Backend on Node.js With Excellence at Coding Ninjas

    Experience

    Work built for real-world scale.

    A record of building reliable web products, improving system performance, and shipping backend platforms.

    July 2025 – Present

    Full Stack Developer

    ShelfEx · Gurgaon, Haryana

    ShelfScan · AI-powered retail recognition

    • Built core backend modules for ShelfScan, an AI-powered retail recognition platform serving 10,000+ users across 10L+ stores for enterprise clients including PepsiCo.
    • Reduced server CPU from 90% to 2% by overhauling query execution plans, adding strategic indexes, and implementing parallel database connections — peak query latency now under 2s.
    • Optimized the image recognition pipeline from 30s to 10s using Worker Threads and algorithmic code improvements.
    • Built background job pipelines with BullMQ, Redis, and AWS SES handling 10k+ daily tasks.
    • Set up production observability with Grafana dashboards to monitor query latency, CPU usage, and job throughput in real time.
    • Optimized bulk data handling via Node.js Streams and improved page performance with Next.js SSR/ISR.
    • Next.js
    • Node.js
    • PostgreSQL
    • Drizzle ORM
    • Docker
    • BullMQ
    • Redis
    • AWS SES
    • Grafana

    Sept 2024 – June 2025

    Full Stack Web Developer

    Daya Consultancy Services · Bhubaneswar, Odisha

    PERN CRM · Social media automation

    • Built a PERN-based CRM with real-time dashboards, lead management, and secure RBAC + JWT auth using HTTP-only cookie sessions.
    • Managed a multi-container Docker Compose setup (Node.js, PostgreSQL, Redis) with CI/CD on AWS EC2.
    • Created a social media automation system with OAuth 2.0 using Google, Facebook Graph, and X APIs.
    • Cut REST API latency by 25% using DB indexing and Redis caching.
    • PERN
    • React
    • Node.js
    • PostgreSQL
    • Redis
    • Docker Compose
    • AWS EC2
    • JWT
    • OAuth 2.0

    Skills & tools

    A toolkit for shipping end to end.

    My technical toolkit includes a wide range of languages, frameworks, and tools that I use to build modern web applications.

    Technology highlights: TypeScript, Next.js, React, Node.js, PostgreSQL, Redis, Docker, AWS, Gemini API, BullMQ, Grafana, and Drizzle ORM.

    Category 01

    Languages

    07
    • JavaScript
    • TypeScript
    • Python
    • Java
    • HTML5
    • CSS3
    • SQL

    Category 02

    Frontend

    06
    • React.js
    • Next.js
    • Redux Toolkit
    • Zustand
    • Tailwind CSS
    • Bootstrap

    Category 03

    Backend

    07
    • Node.js
    • Express.js
    • REST APIs
    • Flask
    • FastAPI
    • Socket.io
    • WebRTC

    Category 04

    Database

    06
    • PostgreSQL
    • MongoDB
    • Supabase
    • Prisma
    • Drizzle ORM
    • Mongoose

    Category 05

    DevOps & Cloud

    08
    • AWS
    • Docker
    • Docker Compose
    • Redis
    • BullMQ
    • Grafana
    • Git
    • Linux

    Category 06

    Tools & Frameworks

    09
    • JWT
    • Zod
    • NextAuth
    • Stripe
    • Gemini API
    • Inngest
    • LangSmith
    • pgvector
    • Postman

    Selected work

    Projects built to solve real problems.

    A showcase of my web development projects, demonstrating my skills and experience in building modern web applications.

    35 projects shown

    Featured · ShelfEx
    10,000+ users10L+ stores95% accuracy
    Professional01/07/2025

    ShelfScan — AI Product Recognition

    Enterprise AI-powered retail recognition platform built at ShelfEx, serving 10,000+ users across 10L+ stores and processing 10,000+ daily image recognitions at 95% accuracy for Fortune 500 FMCG clients including PepsiCo. Reduced server CPU from 90% to 2% via query-plan overhauls, strategic indexes, and parallel DB connections (peak latency under 2s), and cut the recognition pipeline from 30s to 10s using Worker Threads. Built with Next.js (SSR/ISR), PostgreSQL + Drizzle ORM, Dockerized microservices, and BullMQ + Redis + AWS SES job pipelines handling 10k+ daily tasks — observed in real time via Grafana.

    Problem

    Server CPU reached 90%; image recognition took 30 seconds.

    Solution

    Query-plan optimization, indexing, parallel connections, and Worker Threads.

    Result

    2% CPU, peak queries under 2s, and recognition in 10s.

    • Next.js
    • PostgreSQL + Drizzle ORM
    • Docker
    • BullMQ
    • Redis
    • AWS SES
    • Grafana
    Explore experience Discuss a project
    AgentHub — Voice AI Platform preview
    AI AGENT

    01/04/2025

    PROJECT 01

    AgentHub — Voice AI Platform

    A SaaS platform where businesses create AI voice agents trained on their own data (menus, FAQs, inventory) and embed them as a widget — callers talk via Gemini Live WebSocket, and leads are analyzed by Claude Sonnet 4 and delivered in real time. Implemented RAG with pgvector (768d embeddings), Stripe billing with quota enforcement, Inngest durable background jobs, HMAC-SHA256 signed webhooks, and LangSmith observability tracing. Powers the 'Talk to my AI' widget on this portfolio — click the floating button to try it live.

    • Gemini
    • Stripe
    Full project details

    A SaaS platform where businesses create AI voice agents trained on their own data (menus, FAQs, inventory) and embed them as a widget — callers talk via Gemini Live WebSocket, and leads are analyzed by Claude Sonnet 4 and delivered in real time. Implemented RAG with pgvector (768d embeddings), Stripe billing with quota enforcement, Inngest durable background jobs, HMAC-SHA256 signed webhooks, and LangSmith observability tracing. Powers the 'Talk to my AI' widget on this portfolio — click the floating button to try it live.

    Live demoCode
    Social Media Automation Tool preview
    Professional

    01/12/2024

    PROJECT 02

    Social Media Automation Tool

    Social media automation platform built at Daya Consultancy Services. Enables scheduled posting, multi-account management, and AI-assisted content suggestions across major platforms. Integrated with platform APIs for automated publishing, analytics tracking, and audience engagement insights.

      Full project details

      Social media automation platform built at Daya Consultancy Services. Enables scheduled posting, multi-account management, and AI-assisted content suggestions across major platforms. Integrated with platform APIs for automated publishing, analytics tracking, and audience engagement insights.

      Code
      Invoice Generator + BI Dashboard preview
      Professional

      01/10/2024

      PROJECT 03

      Invoice Generator + BI Dashboard

      Customizable invoice generator with an integrated Business Intelligence dashboard built at Daya Consultancy Services. Supports multi-template invoicing, tax calculations, and PDF export. The BI layer delivers real-time revenue analytics, client spend trends, and payment performance charts — reducing manual reporting effort significantly.

        Full project details

        Customizable invoice generator with an integrated Business Intelligence dashboard built at Daya Consultancy Services. Supports multi-template invoicing, tax calculations, and PDF export. The BI layer delivers real-time revenue analytics, client spend trends, and payment performance charts — reducing manual reporting effort significantly.

        Code
        Enterprise CRM System preview
        Professional

        01/09/2024

        PROJECT 04

        Enterprise CRM System

        Full-featured enterprise CRM built at Daya Consultancy Services. Includes lead management, client tracking, and XLSX bulk import for efficient multi-record data entry. Integrated Razorpay and PhonePe payment gateways — improving payment success rate by 25%. Secured with JWT authentication, Redis caching, and Docker containerization.

        • Docker
        • Redis
        • JWT
        Full project details

        Full-featured enterprise CRM built at Daya Consultancy Services. Includes lead management, client tracking, and XLSX bulk import for efficient multi-record data entry. Integrated Razorpay and PhonePe payment gateways — improving payment success rate by 25%. Secured with JWT authentication, Redis caching, and Docker containerization.

        Code
        AI Money Manager preview
        Next.js

        01/02/2025

        PROJECT 05

        AI Money Manager

        A fullstack AI budgeting platform built with Next.js, Supabase, and Prisma. Uses the Gemini API for AI-driven spending insights, Clerk for secure authentication, Arcjet for rate limiting, and Inngest for automated serverless workflows. Helps users track multiple accounts and make smarter financial decisions.

        • Next.js
        • Gemini
        • Prisma
        • Supabase
        Full project details

        A fullstack AI budgeting platform built with Next.js, Supabase, and Prisma. Uses the Gemini API for AI-driven spending insights, Clerk for secure authentication, Arcjet for rate limiting, and Inngest for automated serverless workflows. Helps users track multiple accounts and make smarter financial decisions.

        Live demoCode
        AI Quiz Platform preview
        Backend

        10/04/2024

        PROJECT 06

        AI Quiz Platform

        An AI-powered quiz application built with Node.js, Express, and MongoDB. Teachers upload documents (PDFs, images, text) to auto-generate quizzes via Google Gemini AI. Students take quizzes, receive instant feedback with explanations, track progress, and compete on topic-wise leaderboards. Includes real-time analytics and structured MCQ generation.

        • Gemini
        • Node.js
        • MongoDB
        • Express
        Full project details

        An AI-powered quiz application built with Node.js, Express, and MongoDB. Teachers upload documents (PDFs, images, text) to auto-generate quizzes via Google Gemini AI. Students take quizzes, receive instant feedback with explanations, track progress, and compete on topic-wise leaderboards. Includes real-time analytics and structured MCQ generation.

        Live demoCode

        Contact

        Let's build something great.

        Feel free to reach out to me for any questions or opportunities. I'll get back to you as soon as possible.

        Let's connect

        Email

        Open email app

        Location

        Bhubaneswar, Odisha, India

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