Experience

  1. AI / Machine Learning Engineer

    JSI
    • Led the migration from a proprietary orchestration framework to Agno/LangChain, enabling a modular, LLM-based agentic retrieval and summarization system integrated with MCP; deployed on-premises across customer sites with 100+ GPUs.
    • Built a real-time RAG pipeline to embed and retrieve billions of multimodal records (audio, text, image), significantly improving search latency and contextual relevance.
    • Spearheaded development of the company-wide evaluation framework, leveraging DeepEval and A/B testing to rigorously measure KPIs, including relevance, latency, and interaction quality — enabling continuous feature improvement.

  2. Junior AI / Machine Learning Engineer

    JSI
    • Designed and deployed a real-time threat detection system that scanned high-volume multimodal data streams — including audio, text, images, and video — to detect and alert on high-risk activity using anomaly detection and proprietary ML models.
    • Proposed and implemented a scalable, Kafka-based event-driven architecture for time-sensitive alerting workflows, reducing end-to-end notification latency by 33%.

Education

  1. Master of Computer Science (Thesis), Machine Learning

    Carleton University

    GPA: 4.0 / 4.0 (Equivalent to 98.3%)

    Thesis: Toward Robust Automated Cardiovascular Arrhythmia Detection using Self-supervised Learning and 1D Vision Transformers.

    Courses: Advanced Machine Learning, Natural Language Processing, Deep/Reinforcement Learning

  2. Honours Bachelor of Computer Science, AI Specialization

    University of Ottawa
    GPA: 4.0 / 4.0 (Equivalent to 91%) — summa cum laude
🚀 Technical Strengths

🤖 Machine Learning

Transformers & LLMs Natural Language Processing Time-Series Analysis Self-Supervised Learning Parameter Efficient Fine-tuning High Performance Computing

💻 Engineering

Python (Expert) PyTorch & NumPy Docker & Kubernetes LangChain & Agno Cloud & Big Data C# & JavaScript

🛠️ Infrastructure

Kafka & Event Streaming RAG & Vector Databases Model Deployment A/B Testing & Evaluation GPU Computing SQL Databases