Languages
Python, SQL, JavaScript, TypeScript, Kotlin, Java, HTML/CSS
Toronto, Ontario, Canada
Om M. Patel
Applied AI Engineer InternApplied AI • NLP • Data Systems
Applied AI Engineer Intern and York University MSc CS candidate building production AI, NLP, and data systems. Open to applied AI, AI/ML, NLP, and data engineering opportunities in Canada.
Skills
ML/NLP & LLM
PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers, LangChain, LlamaIndex, FAISS, RAG and evaluation pipelines
Agents & Applied AI
OpenAI API and Agents SDK, Google ADK, agent workflows, human-in-the-loop review, structured prompting, LoRA/QLoRA
Robotics & Computer Vision
ROS2, OpenCV, YOLOv8, ArUco calibration, pixel-to-robot transforms, OCR with PyTesseract
Data Engineering & Backend
FastAPI, Flask, Airflow, PostgreSQL, Supabase, MongoDB, GeoPandas, REST APIs, ETL pipelines
Product, Deployment & Tooling
Next.js, Docker, CI/CD, Vercel, Cloudflare, Azure, Render, Streamlit, Git/GitHub, Postman, Power BI
Education
Master of Science in Computer Science (AI Specialization)
York University, Ontario, Canada
Sep 2025 - Sep 2026
GPA: 3.63/4
Relevant coursework: Data Mining, Probabilistic Models and Machine Learning, Fairness and Bias in AI, Machine Learning Theory, Robotics
Bachelor of Technology in Computer Engineering
Pandit Deendayal Energy University, Gandhinagar, India
Nov 2021 - May 2025
GPA: 3.47/4
Relevant coursework: Computer Vision, Digital Image Processing, Pattern Recognition, Information Retrieval, Natural Language Processing, Big Data Analytics
Research & Publications
Low-Resource Gujarati Sentiment Analysis
Research Assistant, York University - Prof. Uyen T. Nguyen
Mar 2026 - Present
- Built a reproducible Gujarati sentiment-analysis pipeline across translated SST-2 and native GSAC data.
- Benchmarked TF-IDF and multilingual/Indic-focused models, including MuRIL, and analyzed polarity shifts, negation errors, mistranslations, and social-text noise.
ADCIS 2024 (Springer): Automated Sleep Stage Classification Using Machine Intelligence Techniques
Co-author
Sep 2024 - Jul 2025
- Surveyed 90+ automated sleep staging studies and organized signal modalities and PSG data representations into an end-to-end taxonomy.
- Consolidated model families and evaluation practices with reporting guidance around data leakage, imbalance, and cross-subject generalization.
LLMs for Optimization: Job Shop Scheduling Optimization (JSSP)
Course Research Project, York University
Sep 2025 - Dec 2025
- Built a GNN-augmented LLM workflow by converting JSSP instances into disjunctive graphs and explicit machine/precedence constraints.
- Processed STARJOB-style data from ~130k raw records to 9,525 usable instances and reduced fine-tuning runtime from 70h to 11.5h with 4-bit LoRA.
Industry Experience
Applied AI Engineer Intern
BarLens, Toronto / Remote
Jun 2026 - Present
- Build production applied AI workflows across product, data, and backend systems.
- Ship human-in-the-loop features that keep model-assisted decisions reviewable and auditable.
- Strengthen evaluation, observability, and release checks for reliable user-facing systems.
Backend & Data Engineering Intern
Uarra (Prev. Sharperly), Nigeria (Remote)
Dec 2024 - Aug 2025
- Designed Airflow-powered ETL pipelines for geospatial datasets, improving throughput by around 25%.
- Deployed Dockerized services on Render and Azure via CI/CD.
- Optimized MongoDB schemas and indexes for low-latency real-time lookups.
- Collaborated with ML and product teams to integrate production APIs and improve post-deployment reliability.
Data Science Intern
Uarra, Nigeria (Remote)
Mar 2024 - Jul 2024
- Built geocoding APIs in Flask + GeoPandas to reduce Google Maps API dependence and cut monthly cost by up to 45%.
- Scraped and processed 20k+ addresses to produce versioned datasets for ML training.
- Trained and evaluated RNN, Autoencoder, and K-Means models for user behavior prediction, route clustering, and anomaly detection.
Featured Projects
BarLens
Production applied AI work focused on reliable product workflows, human review, and measurable user outcomes.
Applied AIProduct EngineeringHITLData Systems
Interview Lens
ARI module that turns a candidate's take-home project into a structured, role-specific interview brief.
Applied AINext.jsOpenAIPostgreSQLSecurity
Synapse AI
Agent-oriented learning platform that turns uploaded materials into personalized study outputs with teacher oversight.
AI AgentsFastAPINext.jsEdTechHITL
ClawCompass
Capability broker that routes agent tasks to the right tool, redacts sensitive context, and gates paid execution.
AI AgentsTypeScriptx402SecurityMarketplace
TTC Interactive Dashboard
End-to-end TTC reliability platform covering 1,004,682 delay events across bus, subway, GTFS, and live-alert data.
Data EngineeringStreamlitDuckDBParquetGTFS-RT
Blog
Dec 18, 2025
LLMs for Optimization: What Worked in My JSSP Pipeline
My practical lessons from modeling Job Shop Scheduling with disjunctive graphs, constrained prompts, and LoRA fine-tuning.
OptimizationNLPMLOpsResearch Notes
Dec 5, 2025
PMML Project: GLM vs GRU for Traffic Anomaly Detection
My lessons from comparing Poisson GLM and GRU models, plus why KL-style divergence needs careful calibration in noisy traffic streams.
MLOpsResearch NotesOptimization
Nov 20, 2025
GreenArm Notes: Detection-to-Actuation Integration Pitfalls
My practical lessons from connecting YOLO detection, camera calibration, and Kinova arm control in a ROS2 waste-sorting pipeline.
MLOpsOptimizationResearch Notes
Oct 10, 2025
ChatPDF RAG Notes: Retrieval Quality Beats Model Size
How I tuned my ChatPDF pipeline by focusing on retrieval diagnostics, grounding checks, and failure slices before model tweaks.
RAGNLPMLOpsResearch Notes
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Certifications
Extracurriculars
Winner, AgentShyft Hackathon - built Synapse AI with teacher-orchestrated learning workflows (May 2026)
Vector AI Scholarship Recipient, York University (May 2025)
Top-10 rank in Indian weather prediction at Kaggle ML Olympiad (Apr 2024 - May 2024)
AI/ML Mentor for 10+ students on projects including Autograder and Legal Clarity
Volunteer, Vardaan Foundation: taught digital literacy to underprivileged students (Jun 2022 - Jul 2022)