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AIOps & Service Intelligence Leader | AI Automation, ML, GenAI & Agentic Systems | Banking, Payments & IT Operations
Hands-on architect and people-first leader building AI-powered automation and service intelligence systems that reduce cost, improve reliability, and modernize enterprise IT operations. Inventor of patented AI solutions (US11507868B2) for IT change prediction and automation, and leader of initiatives that reduced incidents by 75% and delivered multimillion-dollar efficiencies. Led the design of TELUS Health’s Generative AI Assistant, embedding ethics, scalability, and human-in-the-loop governance from inception. TECHNICAL COMPETENCIES - AI & Machine Learning Leadership: Certified AWS Machine Learning Specialist with hands-on experience with Multi-AI agents, LLMs, deep learning frameworks, end-to-end ML pipeline development, and MLOps practices. Possesses a strong understanding of Statistical and machine learning concepts/theory, and how to correctly apply these methods to drive business insights - Cloud & Platform Expertise: Certified AWS Solutions Architect with hands-on experience with AWS SageMaker, Azure Machine Learning, Databricks, and experience with MLops tools in a production environment to deploy models (e.g., MLflow, AWS Sagemaker etc.). - Team Building & Cross-Functional Collaboration: Experience leading, managing, mentoring, and scaling global teams of data scientists, data engineers, and analysts. Skilled in working with data scientists, engineers, product managers, and executives to accomplish strategic objectives and incorporate models into business processes and decision systems. - Data & Analytics Architecture: Expertise in designing robust data infrastructure and architecture to support scalable BI and analytics solutions; proficiency in SQL, Snowflake, Power BI (Fabric, One Lake), and Tableau for robust data visualization and reporting. - Automation & Operational Excellence: Expert in Python, PySpark, SQL, and Power Automate to stream
Smith School of Business at Queen's University
Master's Degree, Digital Product Management
September 1, 2024 – September 1, 2025
Smith School of Business at Queen's University
Master's degree, Digital Product Management
August 1, 2024 – September 1, 2025
Nagpur University
Bachelor of Engineering (BEng), Production
January 1, 1999 – January 1, 2003
Oxford Senior Secondary School
High School/Secondary Diploma Programs
January 1, 1988 – January 1, 1999
Thomson Reuters
Service Performance Improvement Leader
July 1, 2021 – Present
Toronto, Ontario, Canada
Udacity
Mentor - Artificial intelligence, Machine learning and Data analytics
November 1, 2017 – July 1, 2021
Toronto, Ontario, Canada
TD
Lead Data Scientist (Machine Learning & Artificial Intelligence)
July 1, 2016 – July 1, 2021
Toronto, Canada Area
Dell
Service Architect
May 1, 2010 – March 1, 2016
County Dublin, Ireland
Tech Mahindra
Tech Lead
September 1, 2007 – April 1, 2010
Noida, India
Infosys Technologies Ltd
Software engineer
January 1, 2006 – January 1, 2007
Bengaluru Area, India
Amazon Web Services Solutions Architect Associate
Amazon Web Services (AWS)
June 24, 2026 – Present
Machine Learning Engineer Nanodegree
Udacity
June 24, 2026 – Present
R Programming
Coursera Course Certificates
June 24, 2026 – Present
Six Sigma Black Belt Certification
Advance Innovation Group, USA
June 24, 2026 – Present
Generative AI with Large Language Models
Coursera
June 24, 2026 – Present
Deep Learning Engineer NanoDegree
Udacity
June 24, 2026 – Present
Certified Specialist in Big Data Analytics
Learning Tree International
June 24, 2026 – Present
Virtualization Essential Training
Lynda.com
June 24, 2026 – Present
PRINCE2 Practioner
APMG
June 24, 2026 – Present
ITIL® V3 Foundation
APMG
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a consistent focus on data, AI, and machine learning across various industries (finance, tech services, publishing). The pursuit of a Master's in Digital Product Management and multiple certifications in cutting-edge AI/ML topics demonstrates a proactive and growth-oriented mindset. The diverse experience from software engineering to lead data scientist and service performance improvement leader indicates adaptability and a broad understanding of technical and business contexts. However, the target role of 'Data Analyst' might be a step down from their 'Lead Data Scientist' and 'Service Performance Improvement Leader' roles, potentially indicating a mismatch in seniority expectations or a desire for a career pivot. The lack of specific project details makes it difficult to fully assess cultural alignment with a data analyst role's day-to-day tasks.
Soft Skills & Operational Fit
The candidate's experience as a 'Service Performance Improvement Leader' and 'Lead Data Scientist' at large organizations like Thomson Reuters and TD, along with mentoring roles at Udacity, suggests strong communication, technical leadership, and stakeholder engagement skills. The descriptions highlight the ability to lead teams, manage cross-functional communication, and drive innovation, which are crucial for operational fit in a senior data role. The mention of Lean Six Sigma methodology indicates a process-oriented approach to problem-solving.