Oct 2025 – Jan 2026 · 3 mos · Remote

• Engineered high-performance data ingestion pipelines and connectors to process large-scale datasets from SQL and Parquet sources, utilizing streaming buffers and distributed batch processing for quantum machine learning applications.
• Architected robust feature engineering workflows for dimensionality reduction, scaling, and outlier detection to ensure data normalization and density before downstream model consumption.
• Implemented comprehensive DataOps and governance protocols, establishing automated data drift detection, data integrity validation, and detailed audit logging to maintain pipeline reliability.

Aug 2025 – Sep 2025 · 1 mo · Remote

• Selected among the top 3,000 candidates out of over 80,000+ applicants to receive a month-long mentorship from Amazon scientists about Machine Learning.
• Gained specialized knowledge in modern AI technologies, including Generative AI, Large Language Models (LLMs), and Deep Neural Networks.
• Broadened analytical capabilities by exploring diverse ML domains such as Causal Inference, Reinforcement Learning, and Dimensionality Reduction.