Ankit Dhandharia — Software Engineer & ML Systems Engineer. MSCS candidate at Stevens Institute of Technology (3.71 GPA), AWS Certified Data Engineer, actively contributing upstream to open-source distributed systems and ML runtimes.
Building high-throughput backends, distributed runtimes, and systems that scale. Fluent in C++, Python, TypeScript, and modern engineering workflows. Experience across memory-efficient serialization, gRPC services, and concurrency.
Upstream contributor to DeepSpeed, ONNX, and PyTorch Vision. RAG pipelines with LangChain and vector embeddings, deep learning with PyTorch, GPU kernel validation, and ZeRO-3 distributed training.
End-to-end data pipelines, Medallion architectures, dbt transformations, Airflow orchestration, and Snowflake/cloud warehouses. AWS Certified Data Engineer with streaming Kafka and Spark experience.
BSc Honours in Data Science from Somaiya Vidyavihar (9.09/10). Statistical modeling, hypothesis testing, EDA, feature engineering, and predictive modeling — applied in research and real-world analytics.
Defined operational KPIs, built dashboards, and drove statistical demand forecasting. Fluent in SQL, Tableau, and Power BI with a track record of translating complex metrics into actionable insights.
AWS Certified Data Engineer Associate, plus three Azure Data Fundamentals certifications. Comfortable across S3, Redshift, Lambda, Glue, Kinesis, and the Azure analytics stack. Deployed apps with Docker and CI/CD pipelines.
Across upstream repositories contributed to.
Upstream C++, Python, and ML infra projects.
Hardening runtimes, allocators, and models.
Distributed systems, ML infra & analytics.
AWS Data Engineer Associate + 4 Azure credentials.
MSCS at Stevens Institute of Technology.
BSc IT Honours in Data Science (Somaiya).
Maintained across production pipelines.