10/28/2026 updated
100 % available
AI & Data Science Leader | Enterprise Agentic AI | AI Strategy & Advisory
Toronto, Canada
Only remote
Master of TechnologyAbout me
Senior AI leader with 14+ years developing AI solutions. I advise executives on use case selection, ROI and AI roadmaps. Multi-agent architecture, evaluation, observability and guardrails. Depth in physical AI, built and deployed real time controllers via a digital twin and Azure IoT Edge.
AI AgentsPlatform EngineeringBusiness AnalysisCloud ComputingPython (Programming Language)Machine LearningPredictive AnalyticsSmart DataStrategy ExecutionArchitect LawSolution ArchitectureData ScienceGenerative AIData StrategySolution Delivery
Agentic & LLM Systems
Expertise in multi-agent architecture (ReAct, Supervisor, Router, Chain of Thought), LangGraph, CrewAI, Model Context Protocol (MCP) and MCP servers, LiteLLM routing, RAG, NL-to-SQL, ontology grounded retrieval, tool/function calling, FastAPI, FastMCP, Anthropic Claude, OpenAI, and Google Vertex AI.
AI Strategy & Advisory
Deep experience in use case discovery and prioritization, AI readiness assessments, business case and ROI modelling, AI roadmaps and operating models, build vs buy and vendor selection, executive workshops, pre-sales solutioning, RFPs and demos.
ML, Deep Reinforcement Learning & Foundations
Strong foundation in deep reinforcement learning for real-time control, digital twins, forecasting, optimization, time series, NLP, computer vision, transformers, Python, SQL, and applied statistics.
Agentic Platform Engineering
Hands-on experience with Docker, Kubernetes, low-code and no-code agent playgrounds, stateful and persistent orchestration, and API-first integration.
Reliability, Governance & Scaled Deployment
Proficiency in eval framework design (hallucination, regression, grounding), LLM-as-judge and trajectory evaluation, tracing and observability (LangSmith, Langfuse), guardrails and prompt injection defence, AI governance, Azure ML, Databricks, MLflow, AWS, and GCP/Vertex.
Forward Deployed Delivery
Experience in customer-facing solution architecture, rapid prototyping and prototype-to-production delivery, enterprise integration, and Claude Code.
Technical Enablement & Training
Delivery of technical workshops and hands-on upskilling, mentoring and curriculum design, solution walkthroughs and handovers, and university teaching.
Leadership & AI Team Building
Track record of building, scaling, and mentoring multi-geography AI/DS teams, hiring and performance management, executive and stakeholder alignment, business case and ROI ownership, and cross-functional delivery.
Predictive Modelling & Simulation
Background in building predictive models, data-driven analytics, multibody dynamics and mechanical simulation, FEA/MBS correlation methods, and IoT-based telemetry for predictive monitoring.
Expertise in multi-agent architecture (ReAct, Supervisor, Router, Chain of Thought), LangGraph, CrewAI, Model Context Protocol (MCP) and MCP servers, LiteLLM routing, RAG, NL-to-SQL, ontology grounded retrieval, tool/function calling, FastAPI, FastMCP, Anthropic Claude, OpenAI, and Google Vertex AI.
AI Strategy & Advisory
Deep experience in use case discovery and prioritization, AI readiness assessments, business case and ROI modelling, AI roadmaps and operating models, build vs buy and vendor selection, executive workshops, pre-sales solutioning, RFPs and demos.
ML, Deep Reinforcement Learning & Foundations
Strong foundation in deep reinforcement learning for real-time control, digital twins, forecasting, optimization, time series, NLP, computer vision, transformers, Python, SQL, and applied statistics.
Agentic Platform Engineering
Hands-on experience with Docker, Kubernetes, low-code and no-code agent playgrounds, stateful and persistent orchestration, and API-first integration.
Reliability, Governance & Scaled Deployment
Proficiency in eval framework design (hallucination, regression, grounding), LLM-as-judge and trajectory evaluation, tracing and observability (LangSmith, Langfuse), guardrails and prompt injection defence, AI governance, Azure ML, Databricks, MLflow, AWS, and GCP/Vertex.
Forward Deployed Delivery
Experience in customer-facing solution architecture, rapid prototyping and prototype-to-production delivery, enterprise integration, and Claude Code.
Technical Enablement & Training
Delivery of technical workshops and hands-on upskilling, mentoring and curriculum design, solution walkthroughs and handovers, and university teaching.
Leadership & AI Team Building
Track record of building, scaling, and mentoring multi-geography AI/DS teams, hiring and performance management, executive and stakeholder alignment, business case and ROI ownership, and cross-functional delivery.
Predictive Modelling & Simulation
Background in building predictive models, data-driven analytics, multibody dynamics and mechanical simulation, FEA/MBS correlation methods, and IoT-based telemetry for predictive monitoring.
Experience
Professional experience10+ years
Freelancer since2026
Languages
EnglishFluent
Project history
Led cross-functional AI and data science teams building production GenAI and agentic systems across financial services, healthcare, CPG, and manufacturing. Owned strategy, architecture, delivery, and executive stakeholder alignment. Led agentic AI for enterprise Business Intelligence with ontology grounded retrieval, NL-to-SQL, and BI reasoning. Set evaluation, observability, and guardrail standards for agentic delivery. Architected governed multi-agent assistants for financial services. Built multi-LLM clinical content intelligence platforms and deep reinforcement learning controllers for physical packaging lines deployed via Azure IoT Edge. Shipped LLM and agentic accelerators into production customer operations tooling. Advised client executives on AI use case discovery and ROI. Shaped AI roadmaps with client business, IT, and risk leaders.
Led enterprise AI and GenAI initiatives across finance, marketing, supply chain, sales, and operations with productivity gains up to 30%. Grew and led the data science organization from 5 to 18 people across India, Germany, and the US. Identified and delivered a $100M+ market opportunity through advanced analytics and a $27M opportunity via geospatial data solutions. Architected and deployed large-scale ML and GenAI platforms (LLMs, RAG, cloud) on Databricks and MLflow. Built forecasting, optimization, and inventory intelligence systems that reduced costs by up to 65%.
Built predictive models and data-driven analytics that improved product performance prediction and reduced physical testing costs by 40%. Defined data collection and analysis strategies that strengthened system validation and reduced field failures, contributing three patented designs and two peer-reviewed publications. Developed simulation to test correlation methods (FEA/MBS) and led multibody dynamics and mechanical simulation for engine R&D (AVL Excite, TGDI program).