Eklavya Singh Parihar

About

Who I Am

I'm a full-stack AI engineer who builds systems that go to production — not just demos. Across three internships in fintech, travel-tech, and AI startups, I've engineered RAG pipelines with LLMs and vector databases, designed backend microservices on AWS, and shipped developer tooling used by real engineers. I work across the entire stack — from prompt engineering and embedding workflows to Docker deployments and cloud infrastructure — and I take full ownership of delivery, not just my slice of it.

Node.js

TypeScript

Python

Express.js

LangChain

PostgreSQL

MongoDB

Docker

AWS

GitHub Actions

Redis

MySQL

Linux

Postman

Git

Qdrant

FastAPI

Jest

Jan 2025

Infinnights Fintech

Jul 2025

Gumohh TravelTech

Jan 2026

Xoidlabs Technology

Now

Building in Public 🚀

Let's talk — book a quick call: 10 min chat 30 min deep dive

Experience

Where I've Worked

AI & Full-Stack Engineer · Xoidlabs Technology Pvt Ltd

Jan 2026 — Mar 2026

Engineered end-to-end RAG pipelines using LLMs, Qdrant vector databases, and custom embedding workflows — cutting hallucination rates on domain-specific enterprise queries significantly.
Architected CI/CD pipelines (Jenkins, GitHub Actions) across multi-cloud (AWS + GCP) with automated test gates, rolling deployments, and environment-specific configs — reducing release cycle time.
Built scalable ETL and semantic search pipelines processing tens of thousands of unstructured employee feedback records using LLM prompt engineering, chunking strategies, and NLP classification.
Developed and shipped full-stack AI features end-to-end — from backend inference APIs to frontend integration — owning the complete delivery lifecycle in a fast-paced startup environment.

Back-End Developer Intern · Gumohh TravelTech Pvt Ltd

Jul 2025 — Nov 2025 · Indore, MP

Designed and shipped microservices architecture using Node.js, Express.js, and Knex.js handling booking flows, inventory management, and travel-service APIs for real production users.
Integrated PostgreSQL on AWS RDS with optimized query design and AWS S3 for scalable media object storage, reducing average API response time for asset-heavy endpoints.
Containerized all services with Docker and deployed on AWS EC2; maintained environment parity across dev, staging, and production using environment-specific config management.
Authored and documented RESTful APIs with OpenAPI/Swagger, enabling faster onboarding for frontend and mobile teams and reducing integration bugs.

Software Engineer Intern · Infinnights Fintech Private Limited

Jan 2025 — Jul 2025 · Indore, MP

Built and containerized Node.js backend microservices deployed via AWS App Runner and ECR — enabling auto-scaling, seamless blue-green deployments, and reduced infrastructure overhead for fintech workflows.
Integrated AWS Lambda + API Gateway for event-driven, real-time financial transaction processing; secured all endpoints with JWT authentication and strict input-validation middleware.
Collaborated in an Agile/Scrum team, participating in sprint planning, code reviews, and daily standups — shipping features on tight fintech-regulated timelines.

Projects

What I've Built

dbplug — Databases as Packages

npm

Node.js · TypeScript · CLI · MongoDB · PostgreSQL · MySQL

Built a production-ready npm CLI tool offering a package-manager-like workflow (init, add, introspect, migrate) that abstracts multi-engine DB complexity — letting developers manage MongoDB, PostgreSQL, and MySQL through a single unified interface.
Implemented schema introspection, structural diffing, and a safe migration engine with environment-aware configs (local/staging/production), rollback support, and a built-in diagnostics module for debugging connectivity issues.
Launched on npm and achieved 600+ downloads within 24 hours with zero marketing — driven purely by developer community interest and strong DX design.

View on npm →

AntiPhishX — AI Phishing Detection

Live

AWS EC2 · Amplify · Rekognition · Comprehend · DynamoDB · Docker

Developed a publicly deployed AI-powered phishing detection platform using AWS Rekognition (OCR) and AWS Comprehend (NLP) to analyze user-submitted screenshots and text for malicious patterns and social engineering cues.
Engineered a real-time inference pipeline with DynamoDB for low-latency result storage, retrieval, and audit logging — supporting concurrent user submissions at scale.
Deployed Dockerized backend on AWS EC2 and frontend on AWS Amplify; designed the full system architecture independently from scratch — infra, API design, and ML integration.

Visit antiphishx.site →

Pratibimb — Event & Payment Platform

Live

React · Node.js · Express · PostgreSQL · Docker · AWS EC2 · S3 · CloudFront · NGINX · Jenkins

Built a full-stack, AWS-hosted scalable event and payment platform for a college club — featuring QR-based event ticketing & attendance tracking to prevent ticket fraud.
Integrated secure payments via Razorpay webhooks with membership discounts and automated receipt generation.
Backend on Dockerized EC2, frontend on S3 + CloudFront, DB on managed Aiven PostgreSQL with NGINX + SSL reverse proxy.
CI/CD via Jenkins (master/slave) + GitHub Actions, significantly reducing deployment time.
SEO improvements via Helmet.js + Google Search Console; launched as an Android app (Capacitor) on Play Store with 400+ active users.