Socials Resumize

Founder

Full-stack AI product engineer who ships end-to-end, from cloud infrastructure and backend systems to AI pipelines and user-facing products. Founded ResumizeAI, now used by 12,000+ job seekers. Background spans RLHF, rubric design, and preference modeling for top AI research labs. Core stack includes TypeScript, NestJS, and Pulumi, with production deployments on AWS.

Experience

Aug 2025 — Present

Founder

ResumizeAI

  • Built and shipped a full-stack AI-powered resume and job application platform solo, acquiring 12,000+ users and winning Product of the Day on Microlaunch.
  • Designed and implemented the end-to-end AI pipeline for job-specific resume tailoring, cover letter generation, and ATS optimization using LLMs.
  • Built a Chrome extension enabling one-click job description parsing and instant resume matching directly from job listing pages.
  • Architected and operated the entire cloud infrastructure on AWS using Pulumi, including serverless functions, RDS, and CDN layers.
  • Owned the entire product workflow solo, from Notion specs and SVG low-fidelity designs through to AWS infrastructure, production deployment, and growth tracking via Google Analytics.
  • Applied extensive and methodical prompt engineering with Cursor to systematize AI-assisted development across the full stack, shipping at the pace of a 3-4 person team.

Nov 2024 — Jan 2026

Senior Software Engineer, AI Systems

Mercor

  • Led a special project as Expert Product Manager, coordinating 40+ software engineers to design, build, and deliver 35+ Model Context Protocol (MCP) servers for a top AI research lab.
  • Automated 90% of the end-to-end delivery workflow, from SME spec creation to MCP trajectory generation, cutting manual overhead and significantly accelerating team output.
  • Calibrated rubrics and reinforcement learning environments, ensuring consistent evaluation standards across a large distributed engineering team.
  • Trained an RL model on 170+ open-source repositories across TypeScript, Go, and Python, improving model reasoning, code completion accuracy, and multi-language adaptability.
  • Built and deployed multi-agent systems with n8n integration, automating complex cross-functional workflows and improving experiment reproducibility at scale.

Apr 2022 — Oct 2024

Full Stack Engineer

Morningstar Ventures

  • Led migration from monolithic to microservices architecture, decomposing a legacy Ruby on Rails app into independent NestJS and Serverless services, improving deployment agility, fault isolation, and horizontal scaling.
  • Designed an event-driven architecture using AWS EventBridge and SQS, streamlining data synchronization between microservices and ensuring real-time data consistency.
  • Optimized backend data pipelines by restructuring database queries and leveraging PostgreSQL indexing, achieving a 60% decrease in query response times under high-load conditions.
  • Designed end-to-end cloud architecture with GitHub Actions CI/CD, Docker, and Kubernetes on EKS, ensuring zero-downtime deployments across core applications.
  • Built test automation suites with Jest and RSpec, reducing production bugs by 30% and improving overall release stability.
  • Enhanced real-time data performance with Redis caching and PostgreSQL Views, speeding up financial transaction processing.

Aug 2021 — Mar 2022

Full Stack Engineer

Pairing

  • Developed end-to-end features including time-tracking, interviewing, and KPI history for a team management platform using Ruby on Rails, PostgreSQL, and React.
  • Built a scalable Node.js server with PostgreSQL and RabbitMQ for background job processing, improving response times under high-traffic conditions.
  • Enforced code quality with Prettier, ESLint, and Husky, and established CI/CD pipelines on GitLab, improving development speed by 25%.

Jun 2019 — Jul 2021

Full Stack Developer

Pursue Today

  • Built a scalable GraphQL e-commerce platform on Node.js with React frontend and MSSQL, optimizing data retrieval for over 5 million product parts.
  • Enhanced search performance by integrating Elasticsearch and Redis caching, reducing response times for high-volume product queries.
  • Integrated third-party payment systems including Stripe and PayPal, streamlining transaction reliability.
  • Developed reusable styled components with MaterialUI, standardizing design across the application.

Skills

  • TypeScript
  • JavaScript
  • Python
  • Ruby
  • GraphQL
  • Go
  • Next.js
  • NestJS
  • Ruby on Rails
  • Gatsby
  • AWS
  • Pulumi
  • Kubernetes
  • Docker
  • Serverless
  • CI/CD
  • GitHub Actions
  • PostgreSQL
  • MySQL
  • MongoDB
  • Amazon RDS
  • Redis
  • Elasticsearch
  • LLMs
  • RLHF
  • MCP Servers
  • n8n
  • Cursor
  • OpenAI API
  • Claude Code
  • React
  • Node.js
  • RabbitMQ
  • Prettier
  • ESLint
  • Husky
  • Jest
  • RSpec
  • AWS EventBridge
  • SQS
  • EKS
  • GitLab
  • MSSQL
  • Stripe
  • PayPal
  • MaterialUI

Education

Jan 2019

Lahore University of Management Sciences (LUMS)

Bachelor of Computer Science in Computer Science · Computer Science