Hi, I'm Aman
MERN developer building products people use every day.
A

About

Curious MERN developer currently pursuing Computer Science at BITS Pilani. I build real-world applications used by 200+ users daily, with experience across frontend and backend. I focus on clean architecture, scalability, and solving practical problems, and actively explore AI through hands-on projects and real implementations.

Skills

JavaScript
TypeScript
React
Node.js
Express
MongoDB
REST APIs
Tailwind CSS
Git
System Design
AI / LLMs

Achievements

  • 2nd place, Hackathon — Network School, Malaysia
  • Selected for Stanford Code in Place 2025 (66,000+ applicants)
  • Raised pre-seed funding for a non-profit NGO
  • Student Head, 100xPlayzone Club
  • 3× Gold Medalist, International Mathematics Olympiad (school level)
My Projects

Check out my latest work

From full-stack apps to AI experiments—here are some things I've shipped and continue to iterate on.

HelpMeMan

Engineered end-to-end a mentorship and career guidance platform connecting students and young professionals with mentors from top universities and companies. Built full-stack with REST APIs, database architecture, and auth flows. Integrated Ruth AI — an AI-powered mentor matching and career guidance system. Shipped mentor onboarding and verification workflows, and personalized mentor discovery.

React
Node.js
Express
MongoDB
REST APIs
AI / LLMs
Authentication

HiringBazaar

Founding AI Engineer at an IIT Roorkee TIDES-backed recruitment startup (10K+ users). Architected and built the company's AI voice agent from the ground up — owning the system end-to-end. Engineered the full conversational AI pipeline: voice processing, LLM orchestration, conversation logic, and context handling. Designed the agent to conduct natural, structured voice conversations automating candidate screening. Integrated the voice agent with HiringBazaar's recruitment workflows and platform.

AI / LLMs
Voice AI
LLM Orchestration
Node.js
REST APIs

Shien AI

Architecting a runtime safety and governance layer for production AI systems — an infrastructure layer that intercepts model outputs before they reach downstream applications or users. Engineered model-agnostic guardrail infrastructure for detecting unreliable outputs and enforcing application-level safety policies. Designed a policy-as-code system for configurable safety rules, AI system observability, and model/application inventory across providers. (Stealth)

AI Safety
LLM Infrastructure
Policy Enforcement
AI Observability
Node.js
System Design

Humanifying

Personalized education platform for underprivileged children with complete transparency for donors. Features role-based dashboards, Razorpay payments, and real-time progress tracking.

React
Node.js
Express
MongoDB
Razorpay
Vite