I’m a software developer with about five years of experience delivering AI/ML and full‑stack solutions across healthcare and insurance. I build robust data pipelines, AI/ML models, and scalable web services that drive measurable outcomes and operational efficiency. I enjoy collaborating across product, design, and engineering to solve complex problems, optimize release cycles, and bring production-ready ML into clinicians’ and agents’ workflows. I’m passionate about clean architecture, testability, and translating data into impactful product features.

Vivek A. Judiya

I’m a software developer with about five years of experience delivering AI/ML and full‑stack solutions across healthcare and insurance. I build robust data pipelines, AI/ML models, and scalable web services that drive measurable outcomes and operational efficiency. I enjoy collaborating across product, design, and engineering to solve complex problems, optimize release cycles, and bring production-ready ML into clinicians’ and agents’ workflows. I’m passionate about clean architecture, testability, and translating data into impactful product features.

Available to hire

I’m a software developer with about five years of experience delivering AI/ML and full‑stack solutions across healthcare and insurance. I build robust data pipelines, AI/ML models, and scalable web services that drive measurable outcomes and operational efficiency.

I enjoy collaborating across product, design, and engineering to solve complex problems, optimize release cycles, and bring production-ready ML into clinicians’ and agents’ workflows. I’m passionate about clean architecture, testability, and translating data into impactful product features.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Software Engineer - AI Solutions for Clinical Data at GE HEALTHCARE
January 1, 2025 - Present
Engineered a RAG-based pipeline using LangChain and FAISS to let doctors query patient histories, imaging notes, and lab reports in natural language, cutting manual chart review time by 40%. Trained ML models on Databricks with structured EHR + claims data to predict 30-day readmission risk, reaching AUC 0.82 in pilot hospitals. Applied clinical NLP (spaCy + Hugging Face Transformers) to extract diagnoses and medications from unstructured discharge summaries, improving coding accuracy for billing by 18%. Designed FHIR-compliant REST APIs in Django/Flask to integrate with hospital EHRs and DICOM/PACS imaging systems, ensuring interoperability across 12 clinical sites. Automated HIPAA-compliant data pipelines using Azure Data Factory, Cosmos DB, and Synapse Analytics, scaling ingestion to 10M+ records per day. Deployed services on Azure cloud with CI/CD pipelines, added monitoring via PM2, and reduced release cycle from 4 weeks to 2 weeks with minimal downtime.
Full Stack Developer at UNITED HEALTH GROUP
January 1, 2024 - July 1, 2025
Rebuilt diagnostic machine workflows on a Django REST API with JWT auth, replicating multi-tab test creation online, cutting login/auth errors by 85% and ensuring consistent setup across lab devices. Engineered React.js components with Redux state management, adding validation rules for reagent IDs and numeric ranges; flagged mismatches instantly and reduced invalid sample setups, saving 3 days per feature in rework. Migrated diagnostic datasets from SQL Server to Azure Synapse/Databricks via Data Factory pipelines, applied partitioning and idempotent loads, fixing schema drift and improving query response times by 35%. Automated data ingestion to Azure Blob storage, securing PHI under HIPAA guidelines, and created monitoring layers for compliance audits. Added server-side logging in Django middleware and ran A/B tests over 2,000+ technician sessions, analyzing drop-off points to refine workflows and raise adoption by 22%. Integrated CI/CD pipelines (GitHub Actions, Dockerized services
Associate Developer at VIVMA SOFTWARE INC.
March 1, 2019 - August 1, 2022
Spearheaded Node.js/Express APIs for insurance quotes and copay estimates, tuning query paths and caching to cut response latency by 40% during peak enrollment. Structured a Flask microservice for real-time policy validation with async checks and in-memory caching, eliminating 40 weekly manual interventions by agents. Involved external claim adjudication APIs with retry logic, DLQs, and RBAC-secured middleware, boosting batch job success rate to 99% and closing major HIPAA audit gaps.
Full Stack Developer at UnitedHealth Group
January 1, 2024 - July 1, 2025
Rebuilt diagnostic machine workflows on a Django REST API with JWT auth, replicating multi-tab test creation online, cutting login/auth errors by 85% and ensuring consistent setup across lab devices. Engineered React.js components with Redux state management, adding validation rules for reagent IDs and numeric ranges; flagged mismatches instantly and reduced invalid sample setups, saving 3 days per feature in rework. Migrated diagnostic datasets from SQL Server to Azure Synapse/Databricks via Data Factory pipelines, applied partitioning and idempotent loads, fixing schema drift and improving query response times by 35%. Automated data ingestion to Azure Blob storage, securing PHI under HIPAA guidelines, and created monitoring layers for compliance audits. Added server-side logging in Django middleware and ran A/B tests over 2,000+ technician sessions, analyzing drop-off points to refine workflows and raise adoption by 22%. Integrated CI/CD pipelines (GitHub Actions, Dockerized services

Education

Master of Science in Computer Science at New York Institute of Technology, Manhattan, NY
January 11, 2030 - May 1, 2024
Bachelor of Technology in Information Technology at P P Savani University, Surat, India
January 11, 2030 - August 1, 2017
Master of Science in Computer Science at New York Institute of Technology, Manhattan, NY
January 11, 2030 - May 1, 2024
Bachelor of Technology in Information Technology at P P Savani University, Surat, India
January 11, 2030 - August 1, 2017
Master of Science in Computer Science at New York Institute of Technology, Manhattan, NY
January 11, 2030 - May 1, 2024
Bachelor of Technology in Information Technology at P P Savani University, Surat, India
January 11, 2030 - August 1, 2017

Qualifications

AZ-900: Microsoft Azure Fundamentals
January 11, 2030 - February 16, 2026
AZ-204: Microsoft Certified Azure Developer
January 11, 2030 - February 16, 2026
AZ-900: Microsoft Azure Fundamentals
January 11, 2030 - February 23, 2026
AZ-204: Microsoft Certified Azure Developer
January 11, 2030 - February 23, 2026
AZ-900: Microsoft Azure Fundamentals
January 11, 2030 - February 23, 2026
AZ-204: Microsoft Certified Azure Developer
January 11, 2030 - February 23, 2026

Industry Experience

Healthcare, Software & Internet, Financial Services, Professional Services, Other, Life Sciences