Executive Summary

Strategic AI Leadership: Nearly 8 years of experience across AI/ML engineering, project management, and enterprise solution delivery—6 years in end-to-end ML development and 4+ years in team leadership. Driving enterprise-scale implementations of LLMs, agentic AI systems, and multi-agent conversational platforms with direct team leadership responsibilities.

Delivery at Scale: Spearheaded 75+ AI/ML initiatives (computer vision, predictive modeling, deep learning, statistical modeling, NLP, large-scale data engineering) with 15+ production deployments leveraging neural networks, transformers, scalable pipelines, and cloud-native architectures.

Expert in Cloud-Native AI & Compliance: Architected, deployed, and optimized AI systems on major cloud platforms (Azure, GCP, AWS), leveraging microservices, scalable containerized infrastructure (Docker, Kubernetes), CI/CD, and API integration.

Business Impact: Demonstrated ability to translate complex requirements into actionable AI solutions, optimize processes, and deliver measurable improvements in predictive analytics, customer experience, and operational efficiency for banking, financial, healthcare, and enterprise clients. Total impacted projects valued at more than 7 million USD to date.

Core Technical Competencies

AI Chatbot Architecture & Strategy
  • Enterprise chatbot design, conversational AI strategy
  • Multi-agent orchestration, agentic AI frameworks (LangChain, LangGraph, Semantic Kernel)
  • Intent recognition, entity extraction, prompt engineering
  • Hallucination reduction, chatbot optimization
LLM Engineering & Fine-tuning
  • GPT model suites, Gemini, Gemma, Llama
  • Hugging Face ecosystem, LoRA fine-tuning
  • RAG (Retrieval-Augmented Generation), hybrid search
  • Knowledge graphs, prompt engineering
Machine Learning & Deep Learning
  • TensorFlow, PyTorch, Keras, Scikit-learn
  • Predictive modeling, classification, regression, clustering
  • Time series forecasting, statistical modeling, ensemble methods
  • CNNs, RNNs, Transformers, model optimization, fine-tuning
Computer Vision & NLP
  • OpenCV, YOLO, image classification, object detection
  • Natural language processing, sentiment analysis
  • Named entity recognition, text classification
  • NLP-to-SQL, NLP-to-Python, NLP-to-JSON
Cloud & Infrastructure
  • Azure (OpenAI, ML), GCP (Vertex AI), AWS (SageMaker, Lambda)
  • Microservices architecture, API integration, load balancer, CDNs
  • Distributed systems, enterprise-grade deployment
DevOps/MLOps
  • CI/CD pipelines, Docker, Kubernetes, containerization
  • MLOps, LLMOps, model monitoring, lifecycle management
  • Scalable and secure deployment, automated testing
Specialized AI Applications
  • GANs, synthetic data generation
  • Autonomous systems, medical AI, financial AI
  • Predictive analytics, business automation
  • Process automation, database management, statistical analysis

Professional Experience

Chief Technology Officer (CTO) (April 2025 – Current)

AgenQ, Toronto, ON

  • Direct the development and deployment of NINA, an AI-powered product assistant that provides real-time UI navigation, feature demonstrations, and workflow automation for SaaS platforms.
  • Lead the technical architecture and implementation of embedded AI assistant technology, combining system architecture expertise with applied AI to deliver context-aware user guidance and form automation.
  • Oversee the strategic technical vision for AI-driven software interaction, focusing on reducing onboarding time by 70% and improving lead conversion by 20% through intelligent product assistance.
  • Architect scalable AI agent systems that deliver 24/7 support, automate product demos, and eliminate knowledge loss across version updates.
  • Manage cross-functional collaboration between AI research, product development, and enterprise deployment teams to deliver B2B SaaS solutions for telecom, fintech, and enterprise clients.
Assistant Principal Investigator (AI/ML Research) (Aug 2025 – Current)

AI HUB, Oshawa, ON

  • Lead multidisciplinary AI/ML research projects, setting strategic research directions and aligning initiatives with institutional and industry needs.
  • Manage funding proposals, research budgets, and resource allocation to ensure sustainable execution of high-impact AI projects.
  • Supervise and mentor cross-functional teams of researchers, engineers, and graduate students, fostering innovation and technical excellence.
  • Spearhead collaborations with industry partners (e.g., automotive, SaaS, and AI startups) to co-develop applied AI solutions.
  • Define and monitor research KPIs, ensuring that outcomes translate into publishable findings, patents, and deployable real-world applications.
  • Represent the institution at conferences, consortiums, and academic-industry forums, contributing thought leadership in AI/ML ethics, governance, and applied research.
  • Oversee compliance with research ethics, privacy standards, and responsible AI guidelines in all funded projects.
AI Research Associate (Nov 2024 – Aug 2025)

AI Hub, Oshawa, ON

  • Delivered 15+ enterprise AI/ML projects across banking, healthcare, automotive, and industrial domains, including large-scale deployments and data-driven process automation.
  • Led AI-centered R&D initiatives encompassing computer vision systems, predictive analytics, and autonomous AI applications, setting technical direction for model selection, Model building, Multi modal Fusion techniques, fine-tuning, and deployment strategies.
  • Managed a team of 15-20 professionals, supporting cross-functional collaboration and knowledge transfer. Mentored junior and intermediate AI/ML engineers while providing technical guidance to cross-functional teams.
  • Architected and designed end-to-end AI chatbot solutions and traditional ML/DL systems for enterprise clients, integrating scalable microservices, API integration, and cloud deployment (Azure, GCP, AWS).
AI/ML Engineer (Sep 2024 – Dec 2024)

INQ Consulting, Toronto, ON

  • Architected and delivered 7+ enterprise AI/ML solutions for telecom and compliance sectors, focusing on scalable deployment, process automation, and regulatory compliance.
  • Specialized in designing production-grade AI chatbot systems, privacy risk assessment platforms, and enterprise AI governance frameworks with focus on agentic AI, microservices, and regulatory compliance.
  • Developed real-time risk scoring engines using fine-tuned LLMs with 95% compliance review time reduction, leveraging predictive analytics and process optimization.
  • Implemented enterprise AI governance frameworks with automated compliance monitoring and statistical analysis.
  • Configured hybrid vector database systems for contextual retrieval, knowledge graph integration, and scalable data engineering.
  • Developed secure agent sandboxing frameworks and Text-to-SQL modules for enterprise applications, ensuring robust API integration and database management.
AI/ML Project Lead & Solution Architect (Jan 2020 – Dec 2023)

F5 Systems, India

  • Progressed from AI-ML Software Analyst to Project Lead, delivering 56+ AI/ML projects for fintech, pharmaceutical, and enterprise clients, including large-scale deployments and process automation.
  • Directed end-to-end AI solution delivery from strategic planning to deployment, spanning conversational AI, predictive analytics, computer vision, and financial forecasting systems.
  • Orchestrated deployment of scalable AI solutions including predictive models, chatbots, and automation systems across multi-cloud ecosystems (Azure, GCP, AWS).
  • Architected cloud-native ML/DL pipelines for rapid model development, fine-tuning, deployment, and lifecycle management, leveraging CI/CD, Docker, and Kubernetes.
  • Led development of financial forecasting platforms using time series analysis, regression, clustering algorithms, and advanced statistical modeling.
  • Designed enterprise-grade conversational AI systems and intelligent process automation solutions, optimizing for scalability, performance, and compliance.
  • Led cross-functional collaboration between engineering, data science, and product teams, supporting process optimization and data-driven decision-making.
Assistant Project Manager (Innovation Ops) (April 2018 – May 2020)

FootPrints – think BEYOND, India

  • Planned, executed, and optimized community events and corporate innovation programs, aligning project delivery with strategic objectives and stakeholder requirements.
  • Managed stakeholder communications and expectations through transparent reporting, iterative planning, and proactive risk management.
  • Led budgeting, vendor sourcing, and negotiation processes; drove cost-efficiency and ensured seamless operational delivery for large-scale events and campaigns.

Key Technical Projects

Last Updated: December 2025
3D Hockey Tracking
3D Hockey Player Tracking System

Strip Studios (Ongoing R&D)
Developing a self-contained, automated pipeline to reconstruct a hockey arena in 3D from multiple uncalibrated RGB cameras (intrinsics/extrinsics unknown) and track all players in real time. Overcoming occlusions and varying focal lengths via self-supervised depth estimation, multi-view transformers, graph neural networks, and vision-language techniques. Leveraging PyTorch, OpenCV, Open3D, SLAM toolkits, and GNN frameworks to fuse multi-camera data into a consistent global coordinate frame.

Banking AI Chatbot
Enterprise Banking AI Chatbot & Intelligent Process Automation Platform

DC | Financial Services Client (NDA)
Architected and developed an end-to-end LLM-based agentic commercial chatbot integrated into comprehensive banking applications. Integrated scalable microservices, API-driven banking solutions, and advanced process automation for end-to-end user experience. Technologies: LangChain, LangGraph, NLP-to-SQL conversion, NLP-to-Python schema generation, NLP-to-JSON execution engines, Azure OpenAI, vector databases, microservices architecture, banking API integrations, multi-cloud deployment (AWS, Azure, GCP), CI/CD, Docker, Kubernetes.

Autonomous Vehicle
Autonomous Vehicle Perception & AI Decision System

Durham College | General Motors Partnership
Led the development of real-time AI decision-making system for autonomous vehicles integrating computer vision, deep learning, and sensor fusion. Achieved significant latency reduction via CUDA optimization and enhanced detection accuracy. Technologies: Azure OpenAI, Python, TensorFlow, PyTorch, Docker, MLOps, CUDA optimization, computer vision, multimodal sensor fusion, real-time object detection, scalable deployment.

Financial Forecasting
ML-Powered Financial Forecasting & Customer Targeting Platform

F5 Systems | Financial Services (LIC)
Led development of comprehensive machine learning suite for financial performance forecasting and customer segmentation analysis using time series analysis, regression, clustering algorithms, and predictive analytics. Optimized statistical modeling and process automation for large-scale financial datasets. Technologies: Python, Scikit-learn, TensorFlow/Keras, SQL, AWS/Azure deployment, predictive analytics, customer targeting algorithms, time series forecasting, data engineering.

Synthetic Data
Generative AI for Synthetic Data Generation

Durham College | Pharmaceutical Client
Architected GAN-based system for privacy-preserving synthetic medical data generation with regulatory compliance for AI model training. Produced high-fidelity synthetic datasets for regulated medical AI applications. Technologies: PyTorch, GAN frameworks, AWS, Python, medical data compliance, privacy-preserving AI, scalable data pipelines.

Privacy Risk Assessment
AI-Driven Privacy Risk Assessment Chatbot

INQ Consulting | Telus
Designed real-time conversational risk scoring engine using fine-tuned LLMs with intelligent chatbot interface for compliance teams. Reduced compliance review time by 95% through automated analysis, process automation, and agentic workflows. Technologies: Azure OpenAI, GPT and Gemma model suites, Flask APIs, LangChain, vector databases, regulatory compliance frameworks, scalable deployment.

Medical Photo Analysis
Medical Photo Analysis & LLM Recommendation System

Durham College | Facetech
Developed automated patient photo classification system with AI-driven conversational interface for personalized clinical recommendations using computer vision and NLP techniques. Technologies: Python, OpenCV, YOLO, Azure OpenAI, GPT model suites, computer vision, medical AI compliance, scalable deployment.

EGSTREE
End-to-End General AI Decision Support System (EGSTREE)

Durham College | Multi-Client Platform
Architected agentic ecosystem with specialized AI agents for data fusion, complex task resolution, and strategic recommendations. Implemented agent-based simulations for scenario planning and business automation insights. Technologies: AWS, Python, LangChain, vector databases, LLM orchestration tools, multi-agent frameworks, predictive analytics integration, database management.

Custom Chatbot
Enterprise-Grade Custom Chatbot & Report Assistant

Durham College | Enterprise Client
Built secure, on-premise chatbot with advanced RAG capabilities and automated report generation for enterprise users. Custom hardware-hosted solution with integrated coding assistance, scalable deployment, and enterprise security. Technologies: Open WebUI, custom pipelines, Azure Llama, OpenAI GPT suites, Docker, Python, RAG systems, enterprise security protocols, database management.

Research & Publications

  • Self-Aware Neural Networks (SANN) - Internal research development underway
  • LLMs in Substance Use Treatment Applications - Co-authoring paper with Marshall Clinical Research Consulting and University of Alberta
  • Research Protocols - Published on PLOS-ONE

Client Portfolio: Academic (University of Waterloo, Durham College), telecom (TELUS), automotive (General Motors), government insurance (LIC), hazardous goods institutions, pharma (NDA), and multiple healthcare/enterprise clients (including projects impacting business automation, statistical analysis, and operational efficiency workflows within large enterprise environments).

Education

Durham College, Oshawa, ON

PG Cert. (Equivalent to MSc): Artificial Intelligence Analysis, Design, and Implementation

PG Cert. (Equivalent to MSc): Project Management

M.S University, Baroda, India

Bachelor of Engineering

Contact

Email: thakkarvatsal13@gmail.com

Phone: 647-897-2937

LinkedIn: linkedin.com/in/vatsal-thakkar13

Portfolio: vatsalthakkar1326.github.io