Skej (uOttaHack 2nd Place)
AI-powered course scheduler generating conflict-free timetables in <5 mins.
(Typescript, HTML, CSS, Python)
👋🏾 Hi! I’m Tawana, a Computer Science student at Carleton University specializing in AI/ML with a minor in Business (GPA 3.95/4.0). I’m passionate about building intelligent, scalable systems through experiences in cloud engineering, distributed diagnostics, and machine learning.
💻 I’ve had the opportunity to intern at Microsoft and Raven Connected, where I architected distributed diagnostic engines, AI-powered agents, and vision systems for real-time compliance. I enjoy working at the intersection of machine learning, systems design, and cloud platforms to create tools that make a real-world impact.
- Cut Sev0/Sev1 (Critical Incident) investigation time >95% (hours → <5 min) by architecting & launching a platform that automates root-cause analysis across global cloud infrastructure.
- Built a distributed, config-driven Python diagnostic engine facilitating parallel anomaly detection across 100+ telemetry sources with intelligent batching and fault isolation.
- Created a LangChain-based low-code layer enabling AI-powered diagnostic agents to parse NL playbooks & generate executable diagnostics.
Duration: May 2025 - July 2025
- Integrated seat-belt compliance detection into the cabin-facing pipeline (97% accuracy, F1=0.99) using a 2-stage detector, ensuring zero regression across existing event classes.
- Engineered real-time semantic mapping for construction zones (98% accuracy, F1=0.98) by chaining depth and segmentation models to enable roadway safety enforcement.
- Fine-tuned an object detector on a custom dataset to identify temporary speed limits (mAP@0.5=1.00), powering real-time speeding alerts.
- Built a NL-to-SQL microservice to translate plain English into MySQL queries, enabling self-serve analytics for support staff.
Duration: September 2024 - April 2025
- Supported 700+ students across lectures, labs, and office hours; delivered weekly live code demos to 75+ attendees.
- Provided detailed feedback on 60+ assignments/week, contributing to measurable gains in course pass rates.
Duration: September 2023 - April 2024
AI-powered course scheduler generating conflict-free timetables in <5 mins.
(Typescript, HTML, CSS, Python)
ML pipeline & Data preprocessing tool.
(Python)
Smart AI Assistant.
(OpenAI API, React, Next JS, Firebase, Vercel)
AI powered pantry tracker.
(React, NextJS, Firebase, Vercel, GCP, Gemini API)
Integrated media consumption platform.
(HTML/CSS/JavaScript, Node, Express, SQLite)
You're already there!
(HTML/CSS)
Multithreaded simulation using POSIX threads & semaphores.
(C, Linux, Makefiles, Valgrind)
Classifies seven types of migraines with 93% accuracy.
(Python, TensorFlow, Pandas, Scikit-learn)
🔍 Currently seeking Summer 2026 SWE/MLE/ML SWE internship opportunities!
💻 Technical skills:
Languages: Python, C/C++, Java, JavaScript
ML / Deep Learning: PyTorch, TensorFlow, Keras, scikit-learn, ONNX, TFLite, OpenCV
ML Ops / Data: Pandas, SQL (MySQL), NoSQL, Kusto (KQL), data labeling & ETL
Cloud / DevOps: AWS, Azure, Docker, Linux, Bash, Git, CI/CD
Frameworks / Tools: LangChain, LangGraph, Node.js, Next.js, Express, Valgrind
Focus Areas: Computer Vision, LLM fine-tuning, Prompt Engineering, Model Optimization, Hyperparameter Tuning
🎓 Awards & Honors:
● President’s Faculty Scholarship ($16k)
● Award of Excellence ($5k)
● Dean’s Honor List (2022-2025)
● Vice President & Co-founder @ ColorStackCU