
Skills & Expertise
Passionate about building innovative solutions across machine learning and full-stack development . From winning hackathons to conducting research, I bring technical excellence and creative problem-solving to every project.
Experienced in end-to-end development, from ideation to deployment, with a focus on scalable, high-performance systems.
Portfolio
Since the beginning of my journey as a freelance developer, I've done remote work for agencies consulted for startups and collaborated with talented people to create digital products for both business and consumer use.
I offer a range of a wide range of services, including programming and teaching
Resume
🎓Education
💼Experience
Sep 2025 - Present
Physics Research Assistant, Grambling State University & LaSpace
Investigating temperature and surfactant effects on nanoparticle size measurement using Dynamic Light Scattering, analyzing hydrodynamic size distributions with Python and NumPy for statistical validation.
Aug 2025 - Present
Machine Learning Engineering Intern, GotGames
Scaling backend throughput 30% by running PyTorch/HF inference on EKS with gRPC and S3-backed services. Automating retraining on AWS SageMaker with datasets in S3, implementing monitoring with Grafana.
Mar 2025 - Apr 2025
Quantitative Trader & Data Analyst, IMC Trading - Prosperity Simulation Program
Simulated live auction markets and optimized bids using Pandas, NumPy & PyTorch. Boosted global rank by 37% and cut latency 75% by optimizing trade algorithms and market behavior models.
Jan 2025 - Apr 2025
Robotics Engineer Intern, Grambling State University
Built device to analyze heartbeat signals using C++, Arduino Mega/IDE & AutoCAD. Detected arrhythmias via real-time signal analysis using LTspice, I2C protocols & oscilloscope diagnostics.
Aug 2023 - Sep 2024
Software Engineer Intern, Fladov
Built responsive UIs with React, AngularJS, TailwindCSS & AlpineJS. Boosted service speed 30% by scaling backend with Kubernetes, PHP & Git. Engineered AI model with TensorFlow & HuggingFace.
Jun 2023 - Sep 2024
Software Development Intern, Super Original Corps
Automated real-time data collection for 70 clients, boosting analytics 50% using Python, Pandas & Scikit-learn. Led 5-member team to build scalable UI with JS, NodeJS, NextJS & React.
Sep 2023 - May 2024
Robotics Engineer Intern, AI and Robotics Lab
Earned spot in competitive internship program sponsored by MIT and MTN (21% acceptance rate). Enhanced robot mobility by 75% using Java and UbuntuOS, Raspberry Pi. Mentored Nigerian FIRST Robotics team.
Dec 2022 - May 2023
Technical Writing and SWE Tutor Intern, The WAAS Project
Contributed to early-stage edtech startup delivering Web3 and software education across Africa. Wrote technical documentation on Python, HTML/CSS, MySQL, Blockchain, and Bitcoin.
👥Leadership & Affiliations
Aug 2025 - Present
Vice President, Grambling Robotics Club
Leading weekly sessions guiding students in robotics design & prototyping, training peers in Arduino IDE, ROS2, Fusion 360, Onshape CAD, and TinkerCAD for real-world robotics projects.
Feb 2025 - Present
Community Service Chair, NSBE at Grambling State University
Leading organization to support Black Engineering and Computer Science students, coordinating NSBE STEM outreach events and mentoring local students.
Jan 2025 - Present
Academic Chair, ColorStack at Grambling State University
Leading organization to support Black & Latinx computer science students throughout their college careers, promoting collaboration through workshops and technical challenges.
Jun 2025 - Aug 2025
Nvidia Summer Bridge
Specially invited for a virtual series focused on career readiness and learning all about Nvidia.
My Timeline
🚀Featured Projects (Hackathons, Research & Personal)
Prisma - HackMIT 2025
- ▸Built context-aware Chrome extension injecting AI nudges via Node.js, Tailwind, and OpenAI/Claude APIs
- ▸Integrated Supabase memory with embedding search, recalling past interactions to personalize guidance in sub 200ms
- ▸Streamed token completions and tuned UI refresh to minimize distraction - Sub 200ms hint latency, 65% distraction reduction
Project ATHENA
- ▸Built multimodal AI assistant combining screen vision, LLM parsing & voice commands to automate app workflows
- ▸Integrated semantic search across device file systems using OpenAI embeddings to contextualize user prompts
- ▸Used OpenCV for UI capture, SpeechRecognition for voice input, and Appium for automating UI interactions
- ▸Sub 150ms command response, 95% intent accuracy, 90% reduction in manual UI interactions
BidBeam - Quantitative Trading System
- ▸Built low latency gRPC pipeline to deliver real-time order book data for high-frequency trading scenarios
- ▸Developed in-memory ClientOrderBook for accurate, high-concurrency market depth reconstruction
- ▸Achieved real-time data visualization of 30 instruments with sub-second updates and minimal UI latency
- ▸Built microservices-based AI chatbot to support hospital EMR systems with real-time diagnostic suggestions
- ▸Used GPT-4, VGG19 & RL to enable diagnostic suggestions and thin blood analysis through medical image processing
- ▸Boosted model accuracy by 92%, significantly reducing misdiagnosis rates in test scenarios
CudaCornerTracker - GPU-Accelerated Computer Vision
- ▸Built real-time ShiTomasi corner detector using OpenCV CUDA to extract features from live video streams
- ▸Leveraged GPU Mat, cudaimgproc & cudaarithm APIs to accelerate image processing pipelines
- ▸Achieved 60 FPS on RTX 3050, performing 4× faster than CPU-based baseline via optimized memory transfers
- ▸Integrated AI therapist utilizing NLP for real-time interaction, guided by HCI principles for emotional accessibility
- ▸Used GPT-4, vector embeddings & ChromaDB to implement Retrieval-Augmented Generation for contextual recall
- ▸Containerized full-stack app with Docker - Improved model performance by 80%
MatrixMultiplier - CUDA Optimization
- ▸Built matrix multiplier in Python, C++ & CUDA from naïve cubic runtime to Strassen and GPU-parallel kernels
- ▸Optimized memory tiling, thread-block scheduling, and kernel launches for high-throughput GPU computation
- ▸Benchmarked 40× CPU speed-up, achieving sub-millisecond per-block latency
ClassSync - Apple HBCU C2
- ▸Built native iOS app to automate class attendance via real-time presence detection and streamlined faculty dashboard
- ▸Used Nearby Share, Firebase, and UserNotifications with MVVM architecture
- ▸Achieved 75% reduction in attendance check-in latency by integrating nearby share detection
Project CODY - Autonomous Robotics
- ▸Designed navigation system for autonomous tour guide robot using RPA and custom-programmed hardware
- ▸Integrated sensors and motion control via Arduino & Raspberry Pi to improve spatial awareness and pathfinding
- ▸Increased robot mobility, maneuverability, and functionality by 75%, boosted speed by 70%
Portfolio Optimization - Quantitative Finance
- ▸Built asset allocation model using PyPortfolioOpt to maximize Sharpe Ratio and reduce risk through diversification
- ▸Pulled historical stock data with YFinance and visualized correlations using Pandas, NumPy, Matplotlib & Seaborn
- ▸Achieved optimal diversification with measurable reduction in volatility across test portfolios
SwiftScan - iOS Development
- ▸Built offline-first QR scanner to capture and store website URLs locally for uninterrupted access at live events
- ▸Used Core Data for persistent storage, AVFoundation for real-time scanning, and SwiftUI/UIKit for hybrid UI
- ▸Enabled reliable access to critical event information without internet connectivity
Image2Sound - Creative Algorithm
- ▸Built algorithm to convert compressed HSV image data into layered, polyphonic audio compositions
- ▸Engineered custom mapping pipeline using NumPy and sound synthesis techniques for real-time playback
- ▸Enhanced sound quality by 85% by implementing average pooling and enabling polyphonic compositions
Sonic-AI - NEAT Algorithm
- ▸Developed an AI model to play Sonic The Hedgehog using OpenCV and OpenAI gym with the NEAT algorithm
Google-Dino-AI - DQN Reinforcement Learning
- ▸Using OpenCV, PyTesseract, OpenAI gym and PyTorch, developed an AI model that could play Google-Dino-AI using the DQN reinforcement learning algorithm
SuperMario-AI - PPO & CNN
- ▸Using OpenCV, OpenAI gym and PyTorch, created an AI model that could play Super Mario Bros. using PPO and CNN policy






