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.
- Physician AI Agent: Built a general-purpose assistant for Physicians, using AWS Agents with a master router directing queries to sub-agents for patient data, reports and clinical trials. Integrated Lambdas as tools to Agent, added guardrails, custom prompts, and latency handling for secure and responsive user experiences.
- Patient Report Knowledge Graph & Summarization: Modeled patient report data (JSON) into a clinical knowledge graph, linking gene alterations, therapies, and NCCN guidelines, enabling structured summaries for physicians.
- Sales AI Assistant: Designed a unified assistant to support sales reps by aggregating data across multiple systems—orders, cancellations, physician interactions, expenditures, and quota tracking. Enabled faster call prep, real-time insights, and a one-stop solution to improve sales planning and physician engagement.