Available for opportunities

Ovais Yusuf.

AI/ML Engineer

Building intelligent systems across computer vision, machine learning, LLM applications, and research-driven automation.

About

I specialize in building AI/ML systems and research-driven software people can actually use.

Currently focused on

  • Computer Vision
  • Machine Learning
  • LLM Applications
  • AI Automation
  • Formal Verification
View LinkedIn

Career Path

Experience & Education

A chronological journey of my professional and academic development.

AI/ML Engineer - Aerial Scene Understanding (Graduate Research Assistant)

Bridgewater State University · Bridgewater, MA

Sept 2026 – Current

  • Building a language-queryable aerial scene understanding system using computer vision and machine learning.
  • Combining YOLOv8 detection and ByteTrack tracking to turn aerial video into persistent object detections and queryable scene data.
  • Python
  • PyTorch
  • YOLOv8
  • ByteTrack

AI Engineer - Automated Theorem Proving (Lean 4)

Bridgewater State University · Bridgewater, MA

May 2026 – Sept 2026

  • Built an AI-assisted workflow for certifying mathematical arguments in Lean 4.
  • Proof tasks are decomposed, constructed, reviewed independently, and merged only after Lean validation.
  • Lean 4
  • Python
  • Formal verification

AI Developer

Metro South Chamber of Commerce · Brockton, MA

Jan 2026 – May 2026

  • Built two retrieval-grounded systems: an internal assistant over accreditation documents, and a public website chatbot for visitors and members.
  • Processed newsletter PDFs and website content into a searchable knowledge base, with strict grounding and fallback handling.
  • Presented the work at the Student Arts & Research Symposium (StARS) at Bridgewater State University.
  • FastAPI
  • gpt-4o-mini
  • RAG
  • Python

Machine Learning Researcher

IMC, Air University, Pakistan · Islamabad

Aug 2022 – Aug 2024

  • Contributed to research in computer vision, NLP, and autonomous systems, with a focus on aerial imagery.
  • Published 12 peer-reviewed papers in IEEE journals, Frontiers, and international conferences.
  • Computer vision
  • PyTorch
  • Aerial imagery

Expertise

Technical Stack

The tools I use to detect, retrieve, certify, and ship.

AI & Computer Vision

  • Python
  • PyTorch
  • Scikit-learn
  • YOLO
  • YOLOv8
  • ByteTrack
  • OpenCV
  • Aerial imagery

LLM Applications

  • OpenAI API
  • RAG
  • gpt-4o-mini
  • Prompt engineering

Software & Web

  • Next.js
  • React
  • JavaScript
  • Python
  • FastAPI

Research & Formal Methods

  • Lean 4
  • Formal verification
  • Git
  • GitHub

Selected Work

Featured Projects

Systems where detection, language, and proof have to stay honest.

5 projects shown

Echo Madrid / Ask Echo

Your club.
Answers from data.

Match results / Recent form / La Liga

AI / Sports Analytics

  • FastAPI
  • PostgreSQL
  • LLM tool calling
  • Railway

Echo Madrid — Ask Echo

A natural-language assistant for Real Madrid match results, recent form, and La Liga standings. An LLM tool-calling layer connects questions to a live PostgreSQL database through FastAPI.

Answers grounded in match and standings data.

Computer vision / Language queries

Aerial scenes.
Queryable insights.

YOLOv8 / ByteTrack / Python

Computer Vision / AI

  • YOLOv8
  • ByteTrack
  • Python
  • PyTorch

Language-Queryable Aerial Scene Understanding

Turns aerial video into persistent object detections and queryable scene data. Vehicles are detected with YOLOv8, tracked with ByteTrack, counted through zones, and queried in English only from those results.

English questions are answered only from detection and tracking output.

Research / Formal methods

From argument
to checked proof.

  1. Decompose
  2. Build
  3. Review
  4. Lean check
  5. Merge

Workflow overview · Lean 4

Research / Formal Verification

  • Lean 4
  • AI-assisted theorem proving
  • Automation

Automated Mathematical Proof Certification

An automated formal-verification workflow using Lean and AI-assisted proof tooling to decompose, review, validate, and certify mathematical arguments.

Candidates are merged only after they typecheck in Lean 4.

Metro South Chamber of Commerce

Answers grounded
in your documents.

Internal assistant + public website chatbot

AI / ML

  • FastAPI
  • OpenAI API
  • RAG
  • Python

Metro South Chamber Chatbots

Two FastAPI systems with gpt-4o-mini: an internal accreditation assistant and a public website chatbot. Answers stay inside chamber documents, or they do not go out.

Presented at the Student Arts & Research Symposium (StARS) at Bridgewater State University.

FIFA World Cup 2026

Matchday
Intelligence.

Match state / Events / Reports

Software

  • Next.js
  • ESPN API
  • API-Football
  • Vercel

FIFA WC26 Matchday Intelligence

A live companion for the 2026 World Cup: match state, scores, events, lineups, formations, and post-match reports. After kickoff, the pipeline runs without editorial input.

Research

Research & Technical Work

Applied research across aerial imagery, language, and formal verification.

Technical research

  • Aerial scene understanding capstone

    Language-queryable detection and tracking over real aerial footage, grounded in YOLOv8 and ByteTrack.

  • Formal verification research

    AI engineering work at Bridgewater State University from May to September 2026 on an automated Lean 4 certification workflow.

  • StARS research presentation

    Presented the Metro South Chamber chatbot work at the Student Arts & Research Symposium at Bridgewater State University.

Available for opportunities

Let’s build
something intelligent.

AI engineering, computer vision, machine learning, research collaboration, and software opportunities.

Email memuhammadovaisyusuf@gmail.com

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