
DataPrepML
ML pipeline & Data preprocessing tool.
(Python)
👋🏾 Hi! I’m Tawana, a rising fourth-year Computer Science student at Carleton University specializing in AI/ML with a minor in Business. 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 built distributed diagnostic engines, AI-powered agents, and vision systems for real-time compliance and analytics. I enjoy working at the intersection of machine learning, systems design, and cloud platforms to create tools that make a real-world impact.
- Designed a platform reducing root-cause analysis time for availability drops by 95%+ across global cloud infrastructure.
- Built a distributed Python engine for anomaly detection across 100+ telemetry sources, enabling fault-tolerant diagnostics at scale.
- Developed a LangChain-based low-code interface enabling multi-agent systems to generate diagnostic reports from natural language playbooks.
Duration: May 2025 - July 2025
- Generated top-down semantic maps of construction zones by chaining depth estimation, segmentation, and scene classification models, facilitating compliance efforts and roadway safety enforcement.
- Delivered high-precision speed limit recognition, including support for temporary speed limit signs, by fine-tuning object detectors on a custom dataset to enable real-time speeding alerts.
- Built a natural language-to-SQL pipeline translating plain-English queries into MySQL, allowing support staff to self-serve analytics and reduce customer response times.
Duration: September 2024 - Present
- Supported 700+ students across lectures, labs, and office hours by delivering live code demos, answering technical questions, and reinforcing core concepts.
- Led weekly live coding sessions for 75+ students and provided personalized feedback on over 60 assignments per week.
Duration: September 2023 - April 2024
ML pipeline & Data preprocessing tool.
(Python)
Smart AI Assistant.
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AI powered pantry tracker.
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Integrated media consumption platform.
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You're already there!
(HTML/CSS)
Multi-threaded ghost hunt simulation.
(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:
● President’s Faculty Scholarship
● Carleton Award of Excellence for International Students
● 2x Dean’s Honour List