Moeez Ahmad

Moeez Ahmad

Software Engineer

I’m a Software Engineer interested in building at the intersection of AI, Machine Learning, and Full-Stack Engineering. I’m excited by the challenge of taking powerful AI models and making them efficient, reliable, safe, and scalable enough to use in real-world products.

I enjoy building end-to-end systems, experimenting with how AI behaves in production, and working on problems around inference, reliability, performance, and user experience. I’m most interested in projects where AI goes beyond a demo and becomes something people can actually depend on.

I’m continuing to grow as an engineer by building, experimenting, and learning how to create AI systems that are both capable and trustworthy.

Experience

  1. Feb 2026 – Present

    Software Engineer

    Stealth Startup

    Remote

    • Built and maintained backend APIs supporting core application functionality and product workflows across 15+ production endpoints, implementing core business logic
    • Implemented secure authentication and authorization for user access and protected API endpoints
    • Optimized database queries, indexes, and schema structure, reducing query latency by 30% and improving overall database performance by 20%

    Backend APIs · Authentication · Database Optimization

  2. May 2026 – Jul 2026

    Software Engineer

    South Asian Business Council Of Virginia

    Herndon, VA

    • Architected an AI admin platform using RAG and a 4-agent orchestration in LangGraph, automating workflows
    • Built a RAG pipeline with LangChain and Pinecone across 100+ internal documents, reducing search time by 70%
    • Developed agents for meeting summaries, email drafting, and social media content generation, saving 5+ hrs/week

    LangGraph · LangChain · Pinecone · RAG

  3. Aug 2025 – Dec 2025

    Software Engineer

    Virginia Tech's Visionarium Lab

    Blacksburg, VA

    • Developed RESTful backend APIs using Node.js and Express.js for an aquaponics app, serving data to frontend
    • Optimized PostgreSQL database schemas with normalization and indexing, reducing query response time by 15%
    • Implemented automated API tests using Jest, achieving 95% endpoint coverage and improving backend reliability

    Node.js · Express.js · PostgreSQL · Jest

  4. Jan 2025 – Aug 2025

    Machine Learning Research Assistant

    Virginia Tech Department of Computer Science

    Blacksburg, VA

    • Improved indoor obstacle-detection reliability by 25% in complex environments by fine-tuning a YOLOv12 object detection model in PyTorch, achieving a 12% increase in precision and 21% improvement in recall
    • Built SmartGuide, a real-time computer vision pipeline achieving 60ms inference latency on obstacle detection, leveraging depth estimation for spatial awareness in navigation
    • Collected and cleaned a 10,000-image indoor dataset covering 12 obstacle classes, improving model generalization and cutting false negatives by 15% during real-world testing

    PyTorch · YOLOv12 · Computer Vision

  5. Aug 2025 – Dec 2025

    Undergraduate Teaching Assistant

    Virginia Tech Department of Computer Science

    Blacksburg, VA

    • Supported 100+ students in learning database concepts such as ER modeling, relational design, and SQL querying
    • Led discussion and debugging sessions to resolve SQL and database management issues
    • Guided students through complex database design and implementation challenges during office hours

    SQL · ER Modeling · Relational Design

Projects

A full-stack travel planning app for creating trips, browsing destinations, and organizing itineraries. RESTful Express controllers and routers handle trip management, with GitHub OAuth through Passport.js and a normalized PostgreSQL schema for relational trip data.

JavaScript · Node.js · Express.js · React · PostgreSQL

FitFindr

An AI agent that searches listings, matches outfits, and generates fit cards from natural language requests. A planning loop selects tools based on prior results and passes state across calls, with per-tool error handling and fallback messaging for empty or invalid results.

Python · Gradio · Groq API

rulesBot

RulesBot answers natural language questions about board game rules using a RAG pipeline.

unearthed

A community-driven gift discovery platform where users share and curate thoughtful gift ideas, filtered by recipient, occasion, and budget — turning crowdsourced taste into personalized recommendations.

plantAdvisor

A conversational agent that helps users care for their houseplants.

A little space for what I’m learning.

No posts yet. I’ll be sharing notes on engineering, experiments, and the things I build.

Education & skills

Dec 2025

Virginia Tech

B.S. in Computer Science

Blacksburg, VA

Languages
Python, Java, JavaScript, TypeScript, SQL, HTML/CSS
Frameworks & Libraries
React.js, Node.js, Express.js, Next.js, LangGraph, LangChain, PyTorch
Databases
PostgreSQL, MySQL, MongoDB, Supabase
Tools & Platforms
AWS, Git/GitHub, Docker, Kubernetes, Redis