Bhavya Sharma
Senior Machine Learning Engineer @Shopify
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WORK HISTORY
Senior Machine Learning Engineer @Shopify
Calgary, AB, CA
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
EDUCATION
SRM IST Chennai
Bachelor of Technology (B.Tech.), Computer Science
Delhi Public School - India
High School
Carnegie Mellon University - Heinz College of Information Systems and Public Policy
Master’s Degree, Master of Information Systems Management
MDS Senior Secondary School, Udaipur
High School
SKILLS
ABOUT BHAVYA SHARMA
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.
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