Vivek Jha
He has over eight years of experience in data science, machine learning, and generative AI across healthcare, consulting, and technology domains. His work includes end-to-end AI product development, large-scale ML deployments, and cross-functional delivery of cloud-native systems. His strengths include translating business problems into scalable AI solutions and leading complex technical programs.
Work Experience:
8 Years 7 Months Years
Industry:
Consulting & Strategy, Data Science & Analytics, Product Management
Function:
Pharmaceutical & Healthcare | Technology | Consulting
UnitedHealth Group, Gurugram - India | March 2023-present
• Strategic AI/ML Leadership: Directed global cross-functional teams to architect and deploy enterprise-scale AI/ML solutions, including a provider validation ecosystem that automated the reconciliation of 5M+ records and generated $3M in annual operational cost savings.
• GenAI & Agentic Innovation: Spearheaded the development of cutting-edge GenAI systems and multi-agent platforms using RAG pipelines (LangChain) and intelligent orchestration (google-adk) to eliminate data silos and deliver real-time insights across disparate SQL, NoSQL, and API sources.
• Technical Architecture & Optimization: Engineered scalable K8s-based microservices and advanced ranking engines—utilizing Knowledge Graphs and clustering—to achieve 92% accuracy in data validation and optimize member-to-provider matching based on cost-to-serve analytics.
Accenture Strategy and Consulting – Bengaluru | July 2019 – Feb 2023
• End-to-End AI Product Leadership: Directed the full lifecycle delivery of AI/ML solutions across clinical and legal domains, earning multiple Star and Spot awards for technical excellence and driving enterprise adoption through strategic stakeholder management and executive-level reporting.
• Advanced NLP & Compliance Engineering: Architected high-precision engines for PII/PHI redaction and HEDIS clinical abstraction—utilizing NER, Bio-BERT embeddings, and Knowledge Graphs—achieving 95% accuracy in data anonymization and a 25% boost in clinical evidence detection precision.
• Scalable Cloud Architecture & ROI: Accelerated clinical chart reviews by 10x and reduced operational costs by 25%by deploying scalable, cloud-native microservices via Docker and Kubernetes on AWS, ensuring high-availability for automated medical document processing workflows.
Technosoft Corporation – Bengaluru | Jan 2018 – June 2019
• ML-Driven Billing Automation: Engineered a high-impact NLP solution using Random Forest text classification to automate ICD-10 CM code prediction from unstructured clinical notes, achieving 88% accuracy and enabling the processing of 10,000+ daily records.
• Ensemble Modeling for Quality Audits: Designed and deployed a sophisticated ensemble model (Random Forest and Neural Networks) to optimize focused sampling for provider data, resulting in a 20% increase in error detection and successful adoption by two major U.S. healthcare providers.
• Operational Efficiency & Revenue Impact: Streamlined revenue cycle operations by reducing manual billing efforts by 70% and audit overhead by 50%, significantly accelerating the speed and accuracy of financial processing for healthcare clients.
Meru Cabs Company Pvt. Ltd. – Mumbai | July 2017- Dec 2017
• Workflow Automation & Analysis: Analyzed customer complaint datasets to identify systemic bottlenecks, designing a machine learning-driven process flow that successfully automated 40% of service requests.
• Operational Efficiency Gains: Improved organizational throughput by reducing manual interventions in resolution workflows by 20%, leading to faster service turnaround times and streamlined operations.
• Real-Time Logistics Integration: Led the end-to-end implementation of a live GPS tracking system for fleet drivers, enabling real-time activity monitoring and significantly enhancing the transparency of the user experience.
- Received multiple start and spot awards during my time at Accenture.
- MBA (pursuing) Indian Institute of Management, Ahmedabad 2024-2026
- B.Tech + M.Tech (Computer Science) Indian Institute of Technology, Kharagpur 2017
- XII, CBSE Vikas Vidyaniketan, Vishakhapatnam 2011
- X, CBSE Sri Sathya Sai School, Rishikesh 2009
• AWS Certified Solution Architect – Associate
• AWS Certified Machine Learning - Specialty
- Worked as Administrative Head for CRY – IIT Kharagpur Chapter, leading a team of 45 people to introduce an interactive audio-visual classroom learning program for 5 primary and secondary school. Acted as a POC between NGO and the institute to collaborate in various institute’s experimental flagship programs.