A
Agrima Jain
About
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Boston, Massachusetts, United States
Résumé
Jobs
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AI/ML EngineerCodaMetrixSep 2025 - Current (10 months)Developed a production-grade AI/ML system for automated medical coding and billing using stacked ensembles and RAG pipelines on FHIR data, improving accuracy, reducing manual effort, and accelerating revenue cycle workflows. Responsibilities: • Designed and deployed end-to-end AI/ML systems for automated medical coding, processing thousands of real-time patient records daily from FHIR-compliant data sources. • Built a stacked ensemble model combining XGBoost and ClinicalBERT embeddings, with a simple meta-learner, improving prediction accuracy by 15-18% over single models. • Implemented out-of-fold (OOF) stacking pipelines to ensure proper validation, reduce overfitting, and maintain stable performance in production. • Developed a RAG pipel- Full Stack AI Engineer InternAmwellMay 2025 - Aug 2025 (4 months)Built a scalable LLM-based scheduling platform using RAG and agentic workflows to improve provider matching and automate triage. Developed low-latency NestJS microservices with Redis and deployed via AWS with CI/CD-enabled MLOps pipelines. Responsibilities: • Built AI-driven RAG systems and LLM-powered scheduling intelligence for Blue Cross Blue Shield's virtual care platform, improving provider matching accuracy and reducing query latency. • Engineered LLM-enabled backend services using NestJS and Node.js with Redis caching and microservice architecture, optimizing inference latency and ensuring high system reliability. • Designed agentic AI workflows leveraging LLM reasoning for automated appointment triage and rescheduling, minimizing ma
- HSoftware EngineerHappyMonk AI LabsJan 2021 - Dec 2023 (3 years)Project 2: Speech Analytics & Transcription Platform | Aug 2022 – Dec 2023 Description: Worked on building a speech analytics system to process and analyse audio data for transcription and insights generation across enterprise use cases. Responsibilities: • Developed and maintained speech-to-text pipelines processing 10K-20K audio files/day, ensuring stable and reliable performance. • Fine-tuned pre-trained ASR models (Whisper/Wav2Vec2) on domain-specific data, improving transcription quality and reducing errors. • Built NLP modules for sentiment analysis and keyword extraction to support business insights. • Designed and deployed REST APIs using FastAPI for model inference and integration with internal applications. • Optimized audio prepr
Education
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- NMaster of Science, Information SystemsNortheastern University Boston, MA
- DBachelor of Technology, BioinformaticsDr. D Y Patil Vidyapeeth Pune, IN
Projects (professional or personal)
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- Automated Medical Coding Platform using AI/MLCodaMetrixSep 2025 - Current (10 months)Developed a production-grade AI/ML system for automated medical coding and billing using stacked ensembles and RAG pipelines on FHIR data, improving accuracy, reducing manual effort, and accelerating revenue cycle workflows.
- AI-Powered Healthcare Scheduling & RAG PlatformAmwellMay 2025 - Aug 2025 (4 months)Built a scalable LLM-based scheduling platform using RAG and agentic workflows to improve provider matching and automate triage. Developed low-latency NestJS microservices with Redis and deployed via AWS with CI/CD-enabled MLOps pipelines.
- HSpeech Analytics & Transcription PlatformHappyMonk AI LabsAug 2022 - Dec 2023 (1 year 5 months)Worked on building a speech analytics system to process and analyse audio data for transcription and insights generation across enterprise use cases.
- HLicense Plate Detection & OCR-Based Recognition SystemHappyMonk AI LabsJan 2021 - Jul 2022 (1 year 7 months)Developed a real-time computer vision system to detect vehicle license plates and extract text from images and video streams using YOLOv5 and Tesseract OCR.
- ACloud-Native Web Application with IaCAcademic ProjectsBuilt a scalable full-stack web app with React, Spring Boot, AWS (EC2, RDS, S3), improving media delivery by 40% and achieving 90% Lighthouse accessibility. Automated cloud infrastructure with Terraform and GitHub Actions, reducing environment setup time by 60%.
- AMedFlow - AI Healthcare Intake ChatbotAcademic ProjectsDesigned a React and Node.js intake chatbot for clinics that used Claude and OpenAI with LangChain and vector search to answer billing and policy questions in real time, helping patients self-serve common queries. Implemented guardrails such as PII redaction, emergency intent checks, and output validation, and stored structured summaries in Postgres and Redis, reducing manual data entry and triage effort for staff.