OM

OM M. PATEL

Available to hire

I’m Om M. Patel, a Vector AI Scholar and applied AI engineer based in Toronto, building production-ready AI integrations, data pipelines, and backend systems that help teams make smarter operational decisions.

About

I’m Om M. Patel, a Vector AI Scholar and applied AI engineer based in Toronto, building production-ready AI integrations, data pipelines, and backend systems that help teams make smarter operational decisions. My work spans evaluating AI and agent workflows, building LLM-driven systems with human-in-the-loop review, and supporting reliable releases through agent routing and automated QA loops.

I’ve integrated multimodal capabilities into production apps (like vision-based object label detection), designed audit-ready data stores and ledgers, and deployed systems across distributed locations. Alongside industry work, I’ve built retrieval-first document QA with agentic querying, created large-scale ETL pipelines for geospatial data, and currently support NLP research on multilingual sentiment preservation.

  • Joined September 2026

Industry experience

  • Software & Internet
  • Computers & Electronics
  • Education

More experts in Toronto, Canada

Work experience

Applied AI Engineer (Co-op) · 1Pour, TorontoJun 2026 – Aug 2026 · 3 mos

Integrated Gemini vision API into a Next.js application to detect and read object labels. Streamlined human-verified capture workflows using HITL validation, POS reconciliation, and dashboards. Designed Supabase-backed data storage with private media retention and audit-ready ledgers. Deployed the system on Cloudflare and supported live operation across 20+ locations. Reviewed AI agents and delivered skills for automated tests, CI checks, and sandbox QA to improve release reliability.

Data Engineering Intern · Uarra (Remote)Dec 2024 – Aug 2025 · 9 mos

Built Airflow-powered ETL pipelines to parse geospatial datasets using Python and GeoPandas, improving data throughput by about 23%. Optimized PostgreSQL schema design and indexing for faster real-time lookups used by downstream ML and analytics. Coordinated with engineering and ML teams to monitor API behavior and iteratively improve post-deployment performance for data and model-backed APIs.

Education

Master of Science in Computer Science (AI Specialization) · York University, Ontario, Canada2025 – 2026

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