SUSid _siddharth User
@sid_siddharth
Machine learning engineer specializing in scalable AI pipelines, RAG systems, and clinical data solutions.
IndiaWhat I'm looking for
I am a machine learning engineer with hands-on experience building scalable data and AI pipelines, retrieval-augmented generation (RAG) systems, and clinical trial tooling for production deployments.
At Savart I reduced report generation from days to under 10 minutes, built clinical MCP servers with Milvus and PostgreSQL for semantic patient cohort matching, and launched a B2B AI services division that delivered the company’s first enterprise revenue stream.
Earlier, I engineered end-to-end ETL and streaming pipelines on Databricks, automated CI/CD for ML assets, optimized PPG signal processing and ICU mortality models, and developed privacy-preserving synthetic medical data generators using PyTorch.
Experience
Work history, roles, and key accomplishments
MIDelivering CX at scale
Machine Learning Engineer
Savart
Jun 2023 - Dec 2025 (2 years 6 months)
Built scalable data and AI pipelines on AWS powering an end-to-end Research Note Generator, reducing report generation from 4–7 days to under 10 minutes and launched Savart's first enterprise B2B AI services division.
Data Science Intern
Neurobit
Jan 2023 - May 2023 (4 months)
Optimized PPG signal-processing pipeline and benchmarked ML models on MIMIC-III to predict ICU mortality; created synthetic data generator and automated deployment with Databricks Assets for CI/CD.
Data Science Associate Intern
ZS Associates
Jun 2022 - Sep 2022 (3 months)
Collaborated with AI-CoE to build a privacy-preserving conditional GAN for tabular medical records and developed a Transformer Hawkes Process proof-of-concept to simulate individual medical histories from claims data.
Education
Degrees, certifications, and relevant coursework
IHIIIT Hyderabad
B.Tech and M.S. by Research, Electronics and Communication Engineering
2017 - 2022
Grade: 8/10
Activities and societies: Research publications (journal article on multimodal fusion in substance use disorder)
Completed integrated B.Tech and M.S. by Research in Electronics and Communication Engineering with a CGPA of 8/10 from Aug 2017 to Dec 2022.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Salary expectations
Job categories
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