Bhavya Sharma

Machine Learning Engineer

Calgary, Alberta, Canada8 yrs 2 mos experience
Highly StableAI ML Practitioner

Key Highlights

  • Expert in building LLM-driven AI systems.
  • Proven track record in reducing latency for NLP applications.
  • Strong background in data governance and PII handling.
Stackforce AI infers this person is a Machine Learning Engineer specializing in AI systems and data engineering for enterprise applications.

Contact

Skills

Core Skills

Machine LearningAi SystemsNatural Language ProcessingData Engineering

Other Skills

Ruby on RailsGenAIGoogle Kubernetes Engine (GKE)Data modelsAPIsUIsPipeline orchestrationSoftwareApplied Machine LearningAgent-based ModelingPython (Programming Language)LightGBMGranger CausalityAnomaly DetectionSHAP

About

ML Engineer at Shopify focused on building LLM-driven AI systems and evaluation platforms that power intelligent agents. I design human-in-the-loop systems that connect AI models with expert feedback from APIs and pipelines to calibration workflows - so teams can measure and improve model quality at scale. I architect agent-based solutions for multi-turn dialogue, real-time report generation, and deep search, and I build the evaluation infrastructure behind them: data models, experiment management, and automated calibration pipelines. My work spans Python ML pipelines, Rails backends, and cloud infrastructure (GCP, Terraform), with a focus on data governance, PII handling, and config-driven design. Previously, I developed and deployed NLP applications using pre-trained and fine-tuned LLMs (Claude, Mistral, BERT, RoBERTa) for employee sentiment analysis, report generation, and explainable ML for attrition risk - reducing latency from minutes to seconds and increasing automation coverage. With an MISM from Carnegie Mellon and a background in Computer Science, I bring data science, software engineering, and product thinking to every problem. I enjoy leading cross-functional projects, mentoring junior engineers, and making ML products useful in the real world. Let’s connect if you're into AI/ML applications in enterprise systems, evaluation and calibration for LLMs, or the future of intelligent assistants.

Experience

8 yrs 2 mos
Total Experience
2 yrs 6 mos
Average Tenure
6 mos
Current Experience

Shopify

Senior Machine Learning Engineer

Nov 2025Present · 6 mos · Calgary, Alberta, Canada · Remote

  • Building evaluation and calibration platforms for AI agents, with a focus on human-in-the-loop systems.
  • Evaluation platforms - Data models, APIs, and UIs for ML evaluation and experiment management
  • Calibration pipelines - Automated scoring, pipeline orchestration, and production scheduling
  • Annotation workflows - Secure data export, PII redaction, and vendor-safe infrastructure
  • Infrastructure -Terraform, GCP, and background job systems for scalable pipelines
Ruby on RailsGenAIGoogle Kubernetes Engine (GKE)Machine LearningAI Systems

Amazon

3 roles

Applied Scientist II

Sep 2024Nov 2025 · 1 yr 2 mos

GenAISoftwareApplied Machine LearningAgent-based ModelingMachine LearningAI Systems

Applied Scientist

Promoted

Dec 2021Sep 2024 · 2 yrs 9 mos

Python (Programming Language)LightGBMGranger CausalityAnomaly DetectionSHAPSentiment Analysis+3

Data Scientist I

Jul 2020Dec 2021 · 1 yr 5 mos

Predictive AnalyticsData EngineeringSoftware DevelopmentSQLPython (Programming Language)Plotly+2

Walmart

2 roles

Software Engineer III - Technology

Promoted

Dec 2019Jul 2020 · 7 mos

  • Sam's Club S&OP tool (Sales and Operations Planning)
  • Developing an end-to-end S&OP tool to forecast and allocate the unit demand at Sam's Club Fulfillment Centers to effectively plan the required labor and schedule trailers.
  • Leveraging Machine Learning models like Facebook Prophet, ARIMA and XGBoost to perform time-series forecast that effectively captures seasonality, holidays and special events.
  • Managing end-to-end flow using Azure Data Factory, deploying ETL processes via Databricks and using PowerBI Dashboard for displaying metrics to the business users.
  • End-to-End Supply Chain Visibility
  • Developed data pipelines for archiving supply chain legacy systems’ data at a centralized location on the cloud for visibility, analysis, and reporting.
  • Worked extensively with Apache Airflow, BASH, Hadoop, SQL, and Azure Databricks for implementing the ETL process.

Software Engineer 2 - Technology

Jul 2018Dec 2019 · 1 yr 5 mos

A.t. kearney

Student Consultant

Aug 2017Dec 2017 · 4 mos · Greater Pittsburgh Region

  • Built a cost optimization model for a Fortune-200 paints company that could save up to 7% on the buying cost (~$35 million).
  • Analysed 10 years data of raw materials cost, chemical composition and existing formulae to generate our optimal buying formulae.
  • Developed dashboard for the client to choose a formula for a particular buying frequency and market condition; Won ‘Top-6 teams’ award.

Keio university

Visiting Research Student (Flying Car project)

May 2017Jul 2017 · 2 mos · Tokyo, Japan

  • Conducted an extensive research for a Toyota backed start-up aiming to introduce Flying-Car Taxis in the US.
  • Developed a Multinomial Logit model with 75% accuracy to estimate the market-share of Flying Cars in the United States’ Air-Taxi market.
  • Estimated Flying Car’s market share to be 15% which shall generate approx. $72 million/year from Air-Taxi fare.

Vedanta resources plc

Summer Intern

May 2015Jul 2015 · 2 mos · Chingola, Zambia

  • Examined the implementation and efficiency of SAP ERP Modules as business tools to support Mining Industry.
  • Interviewed Supply Commercial and Smelter department executives to comprehend procedures of materials procurement, service procurement, inventory management and various maintenance orders.
  • Analysed the ability of SAP ‘Materials Management’ and ‘Plant Maintenance’ modules to align with the business requirements.
  • Produced a thorough report to critically evaluate of the effectualness of IT tools (SAP ERP) to contribute to successful running and profit of large-scale industry.

Glencore

Internship

Jun 2014Jul 2014 · 1 mo · Kitwe , Zambia

  • Worked under the ‘Business Systems’ department to understand the working and impact of SYSPRO ERP on company’s business.
  • Collaborated with the IT development team to create an online portal using Microsoft Visual Studio and SQL Server Manager.

Education

Carnegie Mellon University - Heinz College of Information Systems and Public Policy

Master’s Degree — Master of Information Systems Management

Jan 2016Jan 2018

SRM IST Chennai

Bachelor of Technology (B.Tech.) — Computer Science

Jan 2012Jan 2016

MDS Senior Secondary School, Udaipur

High School

Jan 2010Jan 2012

Delhi Public School - India

High School

Jan 2008Jan 2010

Stackforce found 100+ more professionals with Machine Learning & Ai Systems

Explore similar profiles based on matching skills and experience