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About

Backend-focused Software Engineer with 1+ year of internship experience across established companies, building REST APIs, database systems, authentication infrastructure, document-processing pipelines and AI-powered backend services. Experienced with Node.js, Express.js, NestJS, Python, PostgreSQL, Prisma and React, with GenAI/RAG systems experience across enterprise applications.

Experience3

  1. Software Engineer - Backend Engineering

    Apr 2026 — Sep 2026

    MITCON CONSULTANCY & ENGINEERING SERVICES LTD.

    Built 15+ REST APIs with Node.js, Express.js, PostgreSQL and Prisma for enterprise document and workflow operations. Designed data models across 20+ PostgreSQL tables and implemented 5-role RBAC, JWT authentication and MFA. Automated document workflows, reducing manual handling by about 30%.

  2. Software Engineer - GenAI

    Jan 2026 — Jun 2026

    MINDMATRIX ED

    Integrated 10+ REST API endpoints supporting dynamic data retrieval for React-based interfaces. Implemented handling for 5 API states, reducing errors by ~35%. Debugged and optimized app functionality, decreasing crashes by ~20%.

  3. AI/ML Engineer - Backend & GenAI

    Feb 2026 — Mar 2026

    SASH.AI

    Integrated LLM APIs for conversation generation, reducing inference latency by ~20%. Built FastAPI evaluation pipelines with 5 metrics for automated testing and validation. Supported AI service deployment and designed prompt workflows for context-aware conversations.

Projects4

  • PRODUCTION-READY TASK MANAGEMENT API

    Designed a production-oriented REST API using Node.js, Express.js and MongoDB, following Clean Architecture, Service Layer and Repository patterns. Implemented JWT authentication, security middleware, global error handling, request validation, CORS, Helmet and centralized configuration. Added Swagger API documentation, Winston logging and Docker-based deployment configuration.

    • Node.js
    • Express.js
    • MongoDB
    • JWT
    • Docker
    • Swagger
    • Winston

  • INVENTORY & ORDER MANAGEMENT API

    Built an inventory and order management backend using Node.js, Express.js and MongoDB, supporting search, filtering, sorting and pagination. Implemented MongoDB aggregation pipelines, transactions, compound indexes and atomic operations for reliable workflows. Designed Mongoose data-access flows with concurrency considerations for inventory updates.

    • Node.js
    • Express.js
    • MongoDB
    • Mongoose

  • RESUME SCREENING AI AGENT

    Designed an AI recruitment platform automating resume parsing, semantic matching and deterministic scoring against job descriptions. Engineered batch pipeline processing 10+ PDF/DOCX resumes in under 8 seconds and developed a 4-criteria scoring engine using 384-dimensional local embeddings. Added 38-case Pytest suite with >90% pass coverage on core modules.

    • Python
    • Pytest
    • AI
    • Embeddings

  • RAG-BASED AI AGENT FOR DOCUMENT Q&A

    Built a RAG system handling multi-hop queries across 500+ page document sets with source-cited responses. Developed orchestration across retrieval, verification and synthesis stages using Python, Qdrant, OpenAI/LLaMA and vector embeddings. Optimized vector search and chunking for under 2-second average query latency.

    • Python
    • Qdrant
    • OpenAI
    • LLaMA
    • Vector Search

Education1

  • B.E.

    2022 — 2026

    COORG INSTITUTE OF TECHNOLOGY

    Artificial Intelligence and Machine Learning (CSE)