Manmeet Kaur Baxi

Product Manager

Greater Toronto Area, Canada0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Reduced model validation cycles from weeks to days.
Built NLP-driven anomaly detection across 31 jurisdictions.
Improved pipeline performance by 12–70% through optimization.

Stackforce AI infers this person is a Data Engineering and AI specialist in Fintech and SaaS environments.

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Skills

Core Skills

Large Language Models (llm)Agentic Ai DevelopmentData EngineeringMachine LearningData ScienceDevops

Other Skills

Retrieval-Augmented Generation (RAG)Chatbot DevelopmentLLM EvaluationStrategyAgile MethodologiesPython (Programming Language)AzurePySparkDatabricksPower BIData ModelsPredictive AnalyticsData AnalysisReporting & AnalysisScikit-Learn

About

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.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Instacart

Applied AI & Applications Engineer (Commercial Excellence-Media Analytics)

Feb 2026 – Present · 3 mos · Remote

Lead the strategy, design, and rollout of internal LLM agents and Claude skills that automate commercial analytics workflows, reducing manual effort and increasing self-serve decision-making for sales and marketing stakeholders.
Own LLM quality, evaluation, and observability by analyzing Braintrust logs & telemetry, refining datasets, and defining robust metrics/evals to systematically improve answer accuracy, coverage, and trust for GA launches.
Act as the incident owner for LLM/data stack, resolving production issues across Medusa, Snowflake/dbt pipelines, and Tableau dashboards, rapidly diagnosing data and logic defects to restore business-critical reporting used for revenue and performance decisions.

Retrieval-Augmented Generation (RAG)Chatbot DevelopmentLarge Language Models (LLM)LLM EvaluationAgentic AI DevelopmentStrategy+2

Td

Data Scientist II (Analytics, Insights & Artificial Intelligence)

Feb 2025 – Feb 2026 · 1 yr

Architected and migrated ML classification and ETL pipelines from on-premises to Azure, redesigning model architecture for cloud scalability, boosted processing speed by 70% and reduced manual intervention, accelerating executive dashboard delivery.
Engineered end-to-end production pipelines for data engineering and ML models using Python, Azure, PySpark, Databricks, and Power BI, enabling real-time reporting and improving data-reliability by 95%.
Developed a containerized web application with Flask/JavaScript for automated employee hierarchy updates, cutting update time by 97% with full CI/CD deployment.

StrategyData EngineeringPython (Programming Language)AzurePySparkDatabricks+2

Sheridan college

Adjunct Professor

Sep 2023 – Dec 2025 · 2 yrs 3 mos

Courses Taught:
1. Machine Learning & Data Science
2. Intro to Programming Fundamentals with Python
3. Database Design and Implementation with SQL & Azure Data Studio

Data ScienceAgile Methodologies

Scotiabank

Data Scientist (AML/ATF, Models, Compliance & Analytics)

May 2022 – Dec 2024 · 2 yrs 7 mos · Hybrid

Enhanced Anti-Money Laundering (AML) rules-model with information extraction, text parsing and embeddings to support multilingual compliance tasks, reducing false positives by 89K cases annually and saving ≈$260K.
Designed and deployed a Python-based NLP email reporting and anomaly detection system, enabling risk owners across 31 jurisdictions to monitor model health in near real-time – yielding ≈$225K in annualized productivity and compliance gains.
Partnered with business and risk stakeholders to define feature timelines, enrich rules model (reducing operations hits by 89K), optimize parallel ETL pipelines – boosting execution speed by 12%, and saving ≈$260K in annual operational efficiency.

Data ModelsData EngineeringPredictive AnalyticsPython (Programming Language)Data AnalysisReporting & Analysis+3

Vector institute

Teaching Assistant, Machine Learning (Black & Indigenous Program)

Feb 2022 – Mar 2022 · 1 mo

Developed and delivered hands-on ML lab tutorials, boosting student satisfaction by 30% through engaging, clear examples.
Provided weekly mentorship for Capstone projects, driving a 97% completion rate within four weeks, and securing ‘Best Project’ awards for 4 out of 26 teams.

Data ModelsTensorFlowPython (Programming Language)Scikit-LearnPandasMachine Learning

Lakehead university

Graduate Research And Teaching Assistant

Mar 2021 – Aug 2022 · 1 yr 5 mos

Led research on language inferencing and fine-tuning NLP models for Italian, French, and English datasets, producing three frameworks integrating data mining and social science methodologies, leading to multiple publications.
Developed and delivered comprehensive C++ and Data Structures coursework-including automated grading rubrics – boosting student comprehension scores by 25% through feedback-driven refinement.

Data ModelsData EngineeringPredictive AnalyticsPython (Programming Language)Reporting & AnalysisScikit-Learn+3

Cognizant

Software Engineer

Jun 2019 – Sep 2020 · 1 yr 3 mos · Chennai, Tamil Nadu, India

Developed and optimized CI/CD pipelines with Jenkins, streamlining biweekly releases and doubling deployment speed to align delivery with business goals.
Analyzed KPI metrics in Splunk dashboards, driving 30% cost reduction and 20% performance gain to enhance product ROI.
Designed Splunk data models and alerts to strategically monitor CI/CD workflows, improving visibility and efficiency.

Data ModelsData EngineeringPredictive AnalyticsPython (Programming Language)Reporting & AnalysisDevOps

Capgemini

Business Intelligence Analyst

Jan 2019 – Apr 2019 · 3 mos · Pune

Engineered Ab Initio and Teradata pipelines to process 1.5M records, driving a 70% boost in data accuracy and enabling strategic decision-making.
Designed and deployed 40+ QlikView and QlikSense dashboards, translating complex data into actionable trends and boosting customer satisfaction by 20%.
Standardized and documented analysis workflows, streamlining training for 8 team members, increasing team efficiency by 30%.

Data ModelsExtract, Transform, Load (ETL)QlikViewData EngineeringReporting & Analysis