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Data Annotation Tech
Labelbox
OpenCV AI Kit (OAK)
Audio
Computer Code Programming
Text
Image
Classification
Computer Programming/Coding
Evaluation/Rating
Prompt + Response Writing (SFT)
Text Generation
Function Calling
Object Detection
DiagnosisMachine Learning Engineer (MCP Gateway / Agentic Integrations) — University of Toronto Machine Intelligence Team x Agent. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, University of Toronto (2029). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Function Calling, Computer Programming, and Coding.
LabelboxTextClassification
Emotion RecognitionA personality given AI is interacted with through a natural conversation. I must classify and rate the quality of the LLM's response and categorize it based on attributes such as if it is template like or preachy.
Computer Code Programming
Routing
Fine-tuningCreated prompts and plans on what an agent must do using a certain website. I would then use the software to go through the process of completing the prompt step by step using the browser. This data is used to train agents on interacting with the web.
Developed a simulator and sensor processing pipeline to validate autonomous perception without requiring physical track time. Applied computer-vision and sensor-processing logic to improve LiDAR ground detection performance. Used 3D telemetry tooling to surface real-time sensor behavior for engineering analysis and iterative refinement. • Built an in-house Unity/C# simulator for perception validation. • Improved LiDAR ground detection using C++ linear algebra in processing pipelines. • Used Foxglove 3D telemetry for real-time visualization of sensor behavior. • Iterated on autonomous system perception to support reliable downstream decisions.
Function CallingEngineered an MCP gateway to connect multiple enterprise integrations for agentic workflows, enabling structured function calls within an AI system. Implemented secure, scoped access to support reliable downstream processing of agent requests. Designed and deployed the service as Dockerized microservices with observability for latency and reliability. • Architected a FastAPI MCP gateway for 5+ integrations (Slack, Drive, PostgreSQL). • Enforced zero-trust authorization using JWT and RBAC. • Orchestrated services on AWS with Prometheus and Grafana for monitoring. • Reduced gateway latency and deployment latency through system-level optimizations.
AudioText GenerationTranscribed audio files accurately to support the development of AI audio to text recognition.
Bachelors of Applied Science, Computer Engineering
Secretary
Autonomous Systems Developer
