Resume

Skills

  • Machine Learning: Large Language Models (LLMs) / Retrieval-Augmented Generation (RAG) / Agentic AI / LoRA Fine-Tuning / NLP
  • Frameworks: PyTorch / HuggingFace / vLLM / LangGraph / Agno / LangChain / DeepEval
  • Data & Infrastructure: Vector Search / LanceDB / Apache Flink / Distributed Systems / Amazon S3
  • Programming: Python / C# / JavaScript / SQL / Java
  • DevOps: Docker / Kubernetes / Helm / CI/CD / Azure DevOps

Education

  • 2026 - Present
    M.Sc. Computer Science — Machine Learning
    Georgia Institute of Technology
  • 2019 - 2024
    B.Sc. Computer Science
    Carleton University, Ottawa, Canada
  • 2019 - 2024
    B.Cog.Sc. Cognitive Science (Honours) — AI Specialization
    Carleton University, Ottawa, Canada

Experience

  • Dec 2024 - Present
    Machine Learning Engineer
    JSI, Ottawa, Ontario
    • Architected and deployed a production agentic Retrieval-Augmented Generation (RAG) platform enabling analysts to query large-scale intelligence datasets using natural language (Agno, LangGraph).
    • Built scalable LLM inference pipelines integrating vector search, multi-agent reasoning workflows using agentic frameworks such as LangChain and Agno.
    • Developed high-throughput data pipeline infrastructure using Flink, LanceDB (Vector store), Amazon S3 and ANN indexing techniques (IVF-PQ, HNSW) to support large-scale semantic retrieval.
    • Built end-to-end automated LLM evaluation, training and deployment pipelines for internal LoRA fine-tuned LLMs, and vLLM inference serving.
  • Oct 2023 - Dec 2024
    Software Developer / Cyber Auditor
    Department of National Defence, Canada
    • Developed backend services for operational logistics systems using C#, .NET, and SQL supporting Canadian Armed Forces operations.
    • Implemented CI/CD pipelines and unit testing workflows using Azure DevOps, improving reliability of mission-critical systems.
    • Conducted technical cybersecurity audits and analyzed enterprise datasets to identify system vulnerabilities and operational anomalies.
  • Jun 2022 - Aug 2022
    Web Developer
    Cloud Coach
    • Gathered requirements, created user stories, and developed a Shopify website for a non-profit organization.
    • Integrated custom functionality such as a payment gateway, user login/authentication, and event management systems resulting in more than 300 sign-ups.
  • Jul 2021 - Jul 2022
    President
    Google Developer Student Clubs - Carleton University
    • Pioneered Carleton University's first Google Developer community. Led 3 teams of 9 members, ranging from marketing, accounting, technology, and executive teams.
    • Successfully hosted events, recruited speakers, engaged with the audience, and took on community projects to help establish a long-term path of success for the GDSC at Carleton University.
    • Spearheaded the club's direction by being the liaison between Google Developers, mentors, and the student body to strategize event ideas, community projects, and membership engagement.
  • Jul 2021 - Aug 2022
    Marketing Intern
    Canadian Nurses Association
    • Worked closely with stakeholders, affinity partners, and academic institutions to develop membership packages and increase membership satisfaction by conducting market research surveys.
    • Actively participated in consumer marketing, website redesign and decision-making for CNA's rebranding project valued at $800,000+ which included a nationwide awareness campaign and a membership drive.
  • Sept - Nov 2021
    Full Stack Developer
    Cloud Coach
    • Designed and developed an intuitive user interface using ReactJS and GatsbyJS.
    • Assisted in the development and maintenance of the Cloud Coach platform using a Firebase backend.
    • Helped educate 1000+ students in over 75 different institutions across North America to obtain Google Cloud badges and learn about cloud computing fundamentals.