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About

Software Engineer focused on backend, algorithm engineering, and AI-driven systems, with experience building scalable, data-intensive applications using Node.js, TypeScript, Python, MongoDB, Redis, Kafka, OpenSearch, and vector databases. Currently working on personalized content delivery, recommendation and ranking systems, event-driven pipelines, analytics, search, and AI workflows including RAG, prompt engineering, LLM integration, and model fine-tuning. Strong focus on clean architecture, performance, reliability, and maintainable delivery.

Experience2

  1. Algorithm Engineer

    Apr 2025 — Present

    Tepnot Technologies Private Ltd.

    Engineered scalable backend and algorithmic systems processing millions of records focusing on performance and personalized user experiences. Built recommendation, ranking, virality, and content-delivery workflows with Node.js, TypeScript, MongoDB, Redis, and vector databases. Designed asynchronous event-driven processing with Kafka, Redis queues, and background workers. Developed analytics pipelines and implemented OpenSearch, full-text and vector similarity search. Contributed to AI workflows including RAG, prompt engineering, LLM integration, and content moderation. Optimized APIs, queries, caching, and jobs for scalable production.

  2. Full Stack Developer

    Sep 2024 — Apr 2025

    Digitalks Techno LLP

    Designed, built, and deployed full-stack web applications using Node.js, React, and MongoDB, connecting frontend and backend into reliable workflows. Built APIs, database structures, and UI components, working on debugging, performance optimization, deployment, and production maintenance to improve reliability and user experience.

Projects3

  • Tepnot - Social Media App

    Built scalable backend, recommendation, analytics, and search systems using Node.js, TypeScript, Python, MongoDB, Redis, Kafka, OpenSearch, and vector databases. Developed personalized recommendation, ranking and virality algorithms; Redis queues and Pub/Sub; Kafka event streaming; analytics pipelines; vector search; and AI-based moderation. Optimized APIs, queries, caching, and asynchronous workloads for high performance and scalability.

    • Node.js
    • TypeScript
    • Python
    • MongoDB
    • Redis
    • Kafka
    • OpenSearch
    • Vector Databases

  • Healthcare Information Management System

    Developed a modular healthcare platform for patients, appointments, billing, referrals, and tests using GraphQL APIs, role-based access control, scalable architecture, and data-security best practices.

    • GraphQL

  • Resort & Villa Booking App

    Built a responsive booking platform with authentication, property browsing, date-based booking, payments, favorites, admin role-based access, revenue reports, analytics, and real-time business statistics.

    • Authentication

Education1

  • Bachelor of Commerce

    2021 — 2024

    M.D. Sitapara Commerce College, Amreli