About me

Hi, I’m Manmeet 👋
I build reliable AI systems for production — from large-scale ML pipelines to agentic workflows and LLM-powered applications. Over the past 6+ years, I’ve worked across fintech, retail, and research environments (Instacart, TD Bank, Scotiabank, Vector Institute), designing systems that turn complex data into decisions at scale.

A few outcomes from my work:

  • Reduced model validation cycles from weeks to days by building automated testing and monitoring systems.
  • Built NLP-driven anomaly detection across 31 global jurisdictions.
  • Improved pipeline performance by 12–70% through distributed ML and ETL optimization.

My focus today is on the next generation of AI systems:

  • Agentic workflows and orchestration
  • LLM evaluation and reliability
  • Production-grade RAG systems
  • Monitoring and debugging AI systems in real-world environments

I’m especially interested in building AI systems that are not just powerful, but measurable, reliable, and production-ready. If you're working on LLM systems, agents, or AI workflows and care about reliability at scale — feel free to reach out.

Testimonials

  • Rann Sharma

    Rann Sharma

    Chief People & Culture Officer @ CMHA

    I had the pleasure of working with Manmeet on a complex analytics and dashboard project. Her expertise, attention to detail, and a collaborative approach made a real difference in turning data into important insights. Manmeet is a trusted partner who consistently delivers high-quality results and adds value to any team or project.

  • Rajesh Sharma

    Dr. Rajesh Sharma

    Professor, Plaksha University

    Manmeet collaborated on a research problem related to US Elections. Her responsibility included collection of data from Twitter, large scale data analytics, formulation of research problems, and writing a research article. I really enjoyed working with her. I found her to be an ardent researcher, proficient programmer, and a fantastic team player.

  • Yinka Oladimeji

    Yinka Oladimeji

    Director, Shopping Analytics @ RBC

    I worked with Manmeet at the Vector Institute for Artificial Intelligence. Manmeet was instrumental in the delivery of the maiden edition of the ML program for black and indigenous students. She is extremely smart and dedicated, she went the extra mile to ensure we delivered the project. Manmeet is a great asset to any team.

  • Shouvik Paul

    Shouvik Paul

    ML Researcher, Budget Auto

    Manmeet Kaur Baxi's guidance and mentorship were instrumental to my success in deep learning and natural language processing projects at Lakehead University. She is a talented, helping-minded woman with vast knowledge in Artificial Intelligence topics. When I first arrived in Canada, Manmeet helped me acclimate to the new environment, providing valuable assistance with official work and helping me navigate the university's resources. Her assistance with scholarships and official matters was invaluable, and I highly recommend her to any team or organization.

Current and Previous Affiliations

Resume

Experience

  1. INSTACART: Applied AI & Applications Engineer

    Feb, 2026 - Present
  2. TD BANK: Data Scientist II (Artificial Intelligence, Insights & Analytics)

    Feb, 2025 - Feb, 2026
  3. SCOTIABANK: Data Scientist (Models, Risk, Compliance & Analytics, AML/ATF)

    May, 2022 - Dec 2024
  4. SHERIDAN COLLEGE: Adjunct Professor

    Sep, 2023 - Present
  5. VECTOR INSTITUTE: Teaching Assistant, Machine Learning (Black & Indigenous Program)

    Feb-Mar, 2022
  6. LAKEHEAD UNIVERSITY: Graduate Teaching & Research Assistant

    May, 2021-Aug, 2022
  7. COGNIZANT: Software Engineer

    Jun, 2019-Sep, 2020
  8. CAPGEMINI: Business Intelligence Analyst (Internship)

    Jan, 2019-Apr, 2019

Research Publications

  1. Synergy Between Public and Private Health Care Organizations During COVID-19 on Twitter: Sentiment and Engagement Analysis Using Forecasting Models

    JMIR Med Inform 2022; 10(8): e37829

    Singhal A*, Baxi MK*, Mago V

  2. Resilience of political leaders and healthcare organizations during COVID-19

    PeerJ Computer Science 8: e1121, 2022

    Baxi MK, Philip J, Mago V

  3. Studying topic engagement and synergy among candidates for 2020 US Elections

    Social Network Analysis and Mining 12, 136, 2022

    Baxi MK, Sharma R, Mago V

Education

  1. LAKEHEAD UNIVERSITY, CA: M.Sc (Computer Science-Specialization in AI,Thesis)

    GPA: 3.9/4.0

    Awards: Vector Institute Award in Artificial Intelligence 2020, 2x Faculty Research Award, 2x Faculty of Science and Environment Studies Award, International Graduate Student Research Award.

  2. CHANDIGARH GROUP OF COLLEGES, INDIA: B.Tech (Computer Science & Engineering)

    GPA: 3.7/4.0

    Awards: Second Runner up at Smart India Hackathon-2017 (National), First Runner Up at Innotech-2017 (National), Winner at PEC Hackathon-2016 (State), 2x University Merit List.

Volunteering

  1. CANADIAN MENTAL HEALTH ASSOCIATION: Data Science Lead

    Apr, 2025 - Nov, 2025
  2. BLACK PRIDE, YYC: Session Presenter at Economic Resilience Series for Newcomers to Canada

    Jul, 2024
  3. McMASTER UNIVERSITY: DeGroote Innovative Solutions Competition (DISC) judge

    Nov, 2023
  4. UNIVERSITY OF TORONTO: Hack the Valley 8, Hackathon Mentor

    Oct, 2023
  5. MODERN SENIOR SECONDARY SCHOOL, PATIALA: Project Mentor

    Jul, 2019-Jan, 2020
  6. CHANDIGARH GROUP OF COLLEGES: Senior Event Coordinator

    Aug, 2016-Jun, 2019
  7. CHANDIGARH GROUP OF COLLEGES: Class Representative

    Aug, 2015-Jun, 2019

Projects

Blog