Languages
Python, SQL, JavaScript, TypeScript, Kotlin, Java, HTML/CSS
Toronto, Ontario, Canada
Om M. Patel
MSc CS (AI) at York UniversityNLP + Optimization
Vector AI Scholar from York University building NLP, optimization, and applied ML systems. Open to AI/ML/NLP internships, research collaborations, and backend data engineering opportunities in Canada.
Skills
ML/NLP & LLM
PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers, LangChain, LlamaIndex, spaCy, FAISS, RAG pipelines
Optimization & Modeling
PyTorch Geometric, disjunctive-graph modeling, LoRA fine-tuning (4-bit), constrained prompting, GLM/GRU anomaly workflows
Robotics & Computer Vision
ROS2, OpenCV, YOLOv8, ArUco calibration, pixel-to-robot transforms, OCR with PyTesseract
Data Engineering & Backend
Airflow, Flask, REST API design, MongoDB, GeoPandas, Selenium, Beautiful Soup, ETL pipelines
Product, Deployment & Tooling
Docker, CI/CD, AWS EC2, Azure, Render, Next.js, Streamlit, Git/GitHub, Postman, PowerBI, Jira, Confluence
Education
Master of Science in Computer Science (AI Specialization)
York University, Ontario, Canada
Sep 2025 - Apr 2027
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
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
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
LLMs for Optimization Problems
Research-driven project exploring LLM + graph representations for constrained optimization (JSSP and related tasks).
OptimizationLLMJSSPGraph ML
PMML Project: Traffic Anomaly Detection in Toronto
Anomaly detection on urban traffic streams comparing probabilistic GLM and sequence-model (GRU) approaches.
Anomaly DetectionPMMLGLMGRUTime Series
GreenArm: Vision Guided Robotic Waste Sorting
ROS2 perception-to-manipulation pipeline using YOLOv8, OpenCV transforms, and ArUco calibration for precise robotic sorting.
RoboticsComputer VisionROS2YOLOv8OpenCV
Legal Clarity
Fine-tuned multilingual transformer summarization and translation pipeline for legal text, packaged as a Flask service.
NLPTransformersFlaskPyTorch
ChatPDF AI
Retrieval-grounded document QA system using LangChain and FAISS with agentic query workflows.
RAGLangChainFAISSAgentsLLM
Autograder: Precision in Every Grade
Semi-automated grading system with BERT-based NLP and OCR to evaluate typed and handwritten responses.
NLPBERTOCRReactFlask
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
Recruiter Fit Assistant
Please share the role or job description to review how Om aligns with your requirements.
Certifications
Extracurriculars
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)