Available to hire
I’m Anil, an AI Innovation Engineer with 10+ years building greenfield AI/ML solutions across Healthcare and BFSI. I design production-grade, reusable AI frameworks and lead forward-deployed engineering efforts that transform pilot projects into scalable products.\n\nI specialize in multi-agent orchestration, RAG pipelines, prompt engineering, and cloud-native MLOps, with a track record of delivering 28-40% efficiency gains. I’m known for creative problem solving, turning research concepts into production-ready systems, and ensuring HIPAA/SOC2/GDPR compliant, governance-focused delivery.
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Work Experience
Senior AI/ML Engineer at OPTUM (UnitedHealth Group)
January 1, 2025 - PresentLed greenfield AI innovation by designing and deploying a production-grade GenAI platform with multi-agent orchestration and multi-cloud architecture. Partnered with clinical and operational stakeholders to validate solutions, integrate feedback, and scale to enterprise use across 3 business units. Architected a 0→production GenAI automation framework and a reusable RAG pipeline framework, delivering 35% efficiency gains and 20% cost reduction. Implemented custom MCP servers for secure tool access, observability pipelines, and governance to meet HIPAA/SOC2 audit requirements.
AI/ML Engineer at DOORDASH
February 1, 2024 - December 1, 2024Designed and deployed a GenAI-powered consumer support automation platform with reusable RAG and agentic workflows. Achieved sub-500ms p95 latency and 2M+ monthly sessions, built MCP endpoints for enterprise integration, and established secure, RBAC-governed interfaces. Led CI/CD and release automation for zero-downtime model rollouts across multiple microservices.
AI/ML Engineer at EVERNORTH HEALTH SERVICES (Cigna Group)
January 1, 2023 - February 1, 2024Launched a compliance-first multimodal GenAI assistant (text + image) for regulated healthcare support. Built automated ticket triage, real-time ML suggestions via CRM REST APIs, and advanced RAG pipelines with HIPAA/SOC2/GDPR alignment. Implemented explainability and governance controls to support audit requirements.
Data Scientist at YUPP TV
August 1, 2018 - December 31, 2021Engineered time-series forecasting for subscriber viewership with ~95% accuracy and 25% FTE reduction. Developed churn prediction models with SHAP/LIME explanations to guide retention strategies. Built reusable feature stores and automated ML pipelines with Airflow and MLflow for end-to-end automation.
Data Analyst / Data Scientist at AARMEC TECHNOLOGIES
August 1, 2015 - August 1, 2018Built financial time-series forecasting and credit risk/fraud detection models. Designed ETL pipelines and dashboards for multi-source data, with emphasis on data governance and regulatory compliance across BFSI clients.
Education
Master's in Data Science at University of Maryland Baltimore County (UMBC), USA
January 1, 2022 - May 1, 2023Bachelor's in Electronics and Communications Engineering at SNIST, India
June 1, 2011 - June 1, 2015Qualifications
Industry Experience
Healthcare, Financial Services, Media & Entertainment, Software & Internet, Retail
Skills
Experience Level
Expert
Expert
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