Senior ML Engineer (Remote)
- Document Classification at Scale: Automated classification of medical documents using AWS Textract, Batch/Glue jobs, and SNS-SQS, reducing end-users' search time. System is able to handle large volumes efficiently.
- Appeal Prioritisation Model: Built an appeal scoring model with SHAP explainability, helping the reimbursement team prioritise appeals and maximise claim recovery. Both predictive and prescriptive in nature.
- Signature Extraction Project: Extracted patient signatures from TRF forms using segmentation models. Worked extensively to reduce error by 30%, important for manual cost cutting.
- NL-to-SQL System for Business Development: Designed an LLM-powered query system with RAG and prompt engineering, converting natural language queries into SQL to answer queries and derive statistics for BD team.