Open to opportunities

Sid Jha

@sidjha

Message

I build reliable Python, ML, and cloud systems for production data products.

United States

Message

What I'm looking for

I'm looking to build production machine learning and AI systems where I can work on reliable data pipelines, backend services, model evaluation, and cloud deployment while continuing to grow in applied ML and LLM engineering.

I've built production Python applications, healthcare data pipelines, and REST APIs at stealth startups, improving data retrieval accuracy by 30% and reducing API response latency by 40%.

I'm pursuing an MS in Machine Learning while building multimodal video intelligence and semantic search systems with PyTorch, Transformers, FAISS, AWS, and Docker. I've also contributed long-context evaluation tasks to EleutherAI's lm-evaluation-harness.

Experience

Work history, roles, and key accomplishments

Machine Learning Engineer

Stealth Startup

Oct 2023 - Dec 2024 (1 year 2 months)

Built production Python applications and data processing pipelines on AWS using Apache Airflow and Docker, supporting reliable ingestion, transformation, validation, and delivery of healthcare data. Developed automated data validation and monitoring workflows to detect pipeline failures and data-quality issues early, improving production reliability and documenting operational workflows for engine

Python AWS Airflow Docker Data Pipelines Data Validation Monitoring Debugging Troubleshooting Root Cause Analysis Containerization Deployment

Software Development Engineer Intern

Stealth Startup

Apr 2023 - Sep 2023 (5 months)

Developed and maintained Python backend services and REST API components for healthcare applications, reducing API response latency by 40% through asynchronous workflow optimization. Implemented and validated API authentication, audit logging, and backend workflows while investigating production failures and documenting technical fixes for engineering teams.

Python REST APIs Backend Development Asynchronous Authentication Audit Logging Debugging Troubleshooting Performance Optimization

Education

Degrees, certifications, and relevant coursework

Stevens Institute of Technology

Master of Science, Machine Learning

Grade: 3.58/4.00

Activities and societies: Relevant Coursework: Deep Learning, Natural Language Processing, Big Data Analytics, Data Mining, Data Acquisition, Modeling & Analysis

Pursuing a Master of Science in Machine Learning with a GPA of 3.58/4.00 and a Spring 2026 GPA of 3.90.