08/27/2025 updated
AS
100 % available
Machine Learning & AI Engineer with GenAI Expertise
Oakville, Canada
Worldwide
Master's in CS (Thesis-based)Artificial IntelligenceApache AirflowAlgorithmsAmazon Web ServicesData AnalysisComputer VisionCloud ComputingDatabasesContinuous IntegrationInformation EngineeringExtract Transform Load (ETL)Data ModelingData VisualizationDevOpsGoogle Analytics
Machine Learning & Deep Learning
Implementation of GenAI models including Large Language Models, computer vision techniques, and predictive modeling with expertise in model monitoring, deployment, and scaling.
Prompt Engineering & LLMs
Design and implementation of AI agents using various LLMs (Ollama, Anthropic, Gemini) with fine-tuning capabilities and context-aware workflows for generative AI outputs.
Data Engineering
Creation of large-scale data engineering pipelines using Python and SQL with experience in ETL processes and implementing CI/CD pipelines for AI solution deployment.
Cloud & DevOps
Experience with AWS, Google Cloud Platform, Docker, Kubernetes, and CI/CD pipelines for scalable, reliable AI solution deployment.
Data Analytics & Visualization
Proficiency in tools like Tableau, Power-BI, Excel, Google Analytics, and Oracle CCS for data visualization and insights generation.
Computer Vision
Development of real-time detection systems using video processing, image enhancement algorithms, and evaluation frameworks for CNN models.
Database Management
Knowledge of various database technologies including MongoDB, Neo4j, Oracle DB, ChromaDB, Redis, and Airflow for data modeling and validation.
Implementation of GenAI models including Large Language Models, computer vision techniques, and predictive modeling with expertise in model monitoring, deployment, and scaling.
Prompt Engineering & LLMs
Design and implementation of AI agents using various LLMs (Ollama, Anthropic, Gemini) with fine-tuning capabilities and context-aware workflows for generative AI outputs.
Data Engineering
Creation of large-scale data engineering pipelines using Python and SQL with experience in ETL processes and implementing CI/CD pipelines for AI solution deployment.
Cloud & DevOps
Experience with AWS, Google Cloud Platform, Docker, Kubernetes, and CI/CD pipelines for scalable, reliable AI solution deployment.
Data Analytics & Visualization
Proficiency in tools like Tableau, Power-BI, Excel, Google Analytics, and Oracle CCS for data visualization and insights generation.
Computer Vision
Development of real-time detection systems using video processing, image enhancement algorithms, and evaluation frameworks for CNN models.
Database Management
Knowledge of various database technologies including MongoDB, Neo4j, Oracle DB, ChromaDB, Redis, and Airflow for data modeling and validation.
Languages
EnglishNative speaker
Project history
Developed AI/ML-powered backend systems, implemented AI agents for semantic search and prompt engineering, designed multiclass classification models, and deployed AI solutions using CI/CD pipelines.
Developed a real-time parking space detection system using computer vision and deep learning, achieving 97.58% mAP accuracy. Engineered image processing pipelines and conducted comparative analysis of CNN models.
Led full-stack product development for healthcare technology, implementing a patient onboarding system with real-time emergency assistance and a microservices-based integration platform.