AI Engineer · Located in Canada

ShyamSarma

Staff-level AI engineer designing and shipping agentic systems for complex enterprise environments.

I work across multi-agent architecture, enterprise data, evaluation, and human-in-the-loop workflows, taking systems from initial design through deployment and adoption.

Technical repertoire

Skills I work with.

01 / 03

Agent systems

  1. 01Multi-agent systems
  2. 02RAG & embeddings
  3. 03LangGraph / LangChain
  4. 04Google ADK
  5. 05MCP & agent SDKs
02 / 03

Models & evaluation

  1. 06LLM-as-a-judge
  2. 07Golden Q/A suites
  3. 08Prompt & context engineering
  4. 09Claude / GPT / Gemini
  5. 10OpenTelemetry
03 / 03

Data & platform

  1. 11Python / FastAPI
  2. 12SQL / BigQuery
  3. 13Milvus / pgvector
  4. 14Docker / CI/CD
  5. 15TypeScript / Next.js

AI systems I’ve built.

02Merchant intelligence

Store Agent

A Google ADK system that diagnoses store performance with sandboxed Python and grounds recommendations in Nielsen, Environics, space-planning, store-dimension, and live Maps data.

03Workflow automation

Price Change Agent

A LangGraph state machine that validates typed pricing plans, coordinates merchants and pricing teams, and executes approved changes behind human sign-off gates.

04Autonomous orchestration

Project Management Agent

An agent that ingests SharePoint, PowerPoint, Excel, PDFs, Outlook, Teams, and meeting transcripts to maintain persistent memory and a continuously refreshed project dashboard.

05LLM taxonomy mapping

Catalog Mapping

A six-agent Python pipeline mapping Amazon product hierarchies to Walmart taxonomy with few-shot prompting, confidence thresholds, and human review for edge cases.

06Data quality engineering

MerchOne

An enterprise validation and SQL/Python ETL layer that established data contracts and SLAs between raw GCP sources and the front-end product.

Career journey

2016 to present

How the work evolved.

My career began in marketplace risk and moved steadily toward the systems behind business decisions. Today, I design and ship production agentic AI at Walmart Canada.

  1. 01Jun 2026 to present

    Staff AI Engineer

    Walmart Canada

    Agentic systems

    Engineer of record across four production multi-agent systems, owning architecture, build, evaluation, rollout, and adoption.

  2. 02Jul 2024 to Jun 2026

    Lead GenAI Engineer

    Walmart Canada

    Enterprise AI

    Built and shipped Wally, a governed analytics agent now serving more than 600 users and 2,000 queries every week.

  3. 03Feb 2023 to Jun 2024

    Senior Data Scientist, FP&A

    Canadian Tire Corporation

    Decision science

    Developed causal inference, segmentation, and forecasting systems that shaped loyalty marketing and retention decisions.

  4. 04Feb 2022 to Jul 2022

    Senior Data Scientist

    AcuityAds Inc

    Analytics leadership

    Led six analysts and built an enterprise reporting system spanning 11 sales pods, removing 10 hours of manual work each week.

  5. 05Dec 2018 to Dec 2021

    Data Scientist

    AutomateEm Pvt Ltd

    Data foundations

    Built SQL and Python data pipelines, analysis-ready models, and executive reporting for product and sales teams.

  6. 06Aug 2016 to Dec 2018

    Transaction Risk Investigator

    Amazon India

    Marketplace risk

    Investigated suspicious transactions across global marketplaces and built fraud analytics that informed machine-learning improvements.

Read the full résumé

Contact

Let’s talk about the work.

Hiring for an AI role, exploring an agentic system, or interested in a collaboration? Send the context and I’ll take it from there.

What helps me reply

  1. 01The role, team, or organization
  2. 02The problem or opportunity
  3. 03A useful link or timeline

Based in Canada. I usually reply within two business days.

Your details are used only to respond to this inquiry.