Swagath Babu
Machine Learning Engineer @ Humana | GenAI Specialist , NLP, and LLMs | AWS, LangChain, Hugging Face | Building Scalable AI Systems | UCLA MS
- Role
- Machine Learning Engineer at Humana
- Location
- San Jose, CA, US
- LinkedIn followers
- 500 followers
About Swagath Babu
As a Machine Learning Engineer, I specialize in turning complex data into real-world…
Experience
Machine Learning Engineer
Jan 2024 — Present · CA, US
Built HIPAA-compliant data pipelines using Python and SQL to process healthcare claims data, enabling reliable analysis of 2M patient records while reducing preprocessing time. • Engineered predictive features from structured EHR data using Pandas and NumPy, addressing missing values and outliers to improve model input quality.• Applied Parameter-Efficient Fine-Tuning (PEFT) using LoRA on transformer models trained with de-identified clinical notes, reducing training computational requirements by 70% while preserving accuracy across complex healthcare-specific NLP tasks.• Developed an NLP pipeline using locally hosted transformers and domain-specific embeddings, improving medical record processing accuracy by 35% while ensuring HIPAA compliance via PHI anonymization.• Collaborated with clinical teams in Agile sprints to refine model requirements, effectively translating healthcare needs into technical solutions that reduced readmission rates by 12%. • Deployed ML models to production using AWS SageMaker and Git version control, implementing monitoring systems that maintained uptime for critical care decision support. • Engineered a Retrieval-Augmented (RAG) system with LangChain and healthcare knowledge bases to augment predictive models, providing explainable AI outputs that ensured regulatory compliance and delivered $1.2M annual savings through improved decisions.
Education
St. Joseph's Pre-University College
PUC, PCME
2013 — 2015
B. M. S. College of Engineering
Bachelor of Engineering - BE, Electrical and Electronics Engineering
2015 — 2019
UCLA
Master of Science - MS , Electrical and Computer Engineering (Specialization : Machine Learning)
2022 — 2024
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