Shruti Bhanderi
Redmond,United States
Summary
Results-driven Data Engineer with a strong background in designing and optimizing data pipelines for effective data curation and pseudo-labeling in structured data extraction. Experienced in handling multimodal data and leveraging advanced techniques to enhance data quality and accessibility. Proven ability to collaborate with data science teams to implement machine learning models that drive actionable insights and improve decision-making processes. Committed to continuous learning and innovation in the evolving field of data engineering.
Overview
1
1
Certification
12
12
years of professional experience
Work History
Data Engineer
Apple
Seattle, WA
11.2025 - Current
- Assisted visual intelligence team in gathering and organizing multimodal datasets. Supported data validation and curation processes to improve overall data quality.
- Categorized and structured data according to project requirements. Executed pseudo-labeling on new datasets via inference pipeline.
- Maintained comprehensive records of dataset status and version history throughout lifecycle stages. Provided reliable data resources to machine learning teams.
- Documented processes and generated reports to enhance traceability in data management.
- Collaborated with data collection and annotation teams to optimize automation pipeline from curation to evaluation for multimodal data.
Applied Scientist II
Amazon
Seattle, Washington, United States
04.2025 - 10.2025
- Developed AI-driven data solutions for sustainability use cases, optimizing dataset selection and analytical workflows to support domain-specific requirements.
- Designed and deployed LLM-based pipelines to automate KPI extraction and reporting, effectively bridging data gaps in sustainability metrics.
- Integrated reinforcement learning from human feedback (RLHF) methods to align model outputs with stakeholder input, dynamically surfacing onboarding resources based on evolving sustainability research needs.
- Worked with agentic AI workflows to support automated reasoning and decision-making in carbon measurement processes, improving accuracy and adaptability.
Data Scientist
Bell
Toronto, Canada
10.2018 - 09.2024
- Led the Call Centre Optimization project, applying ML models to improve sales and reduce churn, delivering measurable business impact.
- Built CI/CD deployment pipelines in collaboration with MLOps teams for rapid production rollout of ML solutions.
- Developed ETL and data preprocessing workflows for large-scale, high-quality datasets, ensuring compliance with data privacy standards.
- Partnered with cross-functional teams to translate business specifications into production-ready ML systems.
Data Scientist
Acquisio
Montreal, Canada
05.2018 - 10.2018
- Developed and optimized machine learning models for campaign automation and performance improvement.
- Implemented data cleaning and preprocessing scripts to prepare large datasets for model training.
Web Developer
The Centre for research in Neuroscience
Montreal, Canada
12.2016 - 09.2017
- Developed software for bioinformatics and genomics analysis, including DNA, RNA, and amino acid sequences.
- Maintained web server, computer, and microscope hardware at The Centre for Research in Neuroscience.
- Conducted data analysis and hardware development to support research initiatives.
System Engineer
Infosys
Pune, India
02.2014 - 07.2016
- Developed a module for Operation Support Management. Operation Support Queues to manage the Stock transfer, Sales Warehouse and Incoming Stock Expedite in the Purchase and Sales Order using Unidata, MySQL and Unibasic.
- Also worked on various modules of Order Creation, Order Filling and Consolidation of Boeing Project and KLX Project using Unidata and SB screens.
Education
Master of Science - Computer Science
McGill University
Montréal05.2018
B.Tech - Computer Science
Nirma University
Ahmedabad05.2014
Skills
- Python, SQL, Tableau, Machine Learning, Statistical Modeling, Data Analytics, Data Visualization, Data Pipeline, PyTorch, HuggingFace, AWS, GCP, Agentic AI
Certification
- TensorFlow for AI: Get to Know TensorFlow - Certifications
- Applied Machine Learning in Python - Certifications
- Interpretable Machine Learning Applications: Part 2 - Certifications
- Business Metrics for Data-Driven Companies - Certifications
- Explaining Tree Based Models Using SHAP - Certifications
- Professional Machine Learning Engineer Certification - Google 2024 - 2026
Timeline
Data Engineer
Apple
11.2025 - Current
Applied Scientist II
Amazon
04.2025 - 10.2025
Data Scientist
Bell
10.2018 - 09.2024
Data Scientist
Acquisio
05.2018 - 10.2018
Web Developer
The Centre for research in Neuroscience
12.2016 - 09.2017
System Engineer
Infosys
02.2014 - 07.2016
Master of Science - Computer Science
McGill University
B.Tech - Computer Science
Nirma University