Available to hire
I am a senior Generative AI and ML engineer focused on delivering production-grade AI platforms across healthcare, financial services, telecom, and government sectors. My work centers on hybrid RAG, multi-agent orchestration with human-in-the-loop checkpoints, and MCP-based tool integration to build auditable, safe AI systems. I have deployed and operated GenAI solutions on AWS, Azure, and GCP with HIPAA-aligned controls and robust observability. I enjoy partnering with clinical, regulatory, and security teams to translate complex requirements into scalable, compliant solutions that reduce manual effort and enhance decision support.
Skills
Experience Level
Language
English
Fluent
Work Experience
Senior Gen AI/ML Engineer at Johnson & Johnson
January 1, 2025 - PresentOwn end-to-end architecture for enterprise GenAI platform, including data ingestion, retrieval, agent orchestration, and HIPAA/GxP-aligned governance. Benchmarked Claude on AWS Bedrock, designed a hybrid RAG pipeline with LangChain/LangGraph, integrated a Neo4j knowledge graph for multi-hop regulatory retrieval, and built scalable vector search with persistent lineage and auditability. Implemented a LangGraph multi-agent supervisor with human-in-the-loop checks, integrated MCP servers for standardized internal tooling, and deployed production-grade, observable AI services via FastAPI on EKS. Led three-layer AI safety architecture (PHI/PII masking, output moderation, audit logging) and provided mentorship on RAG and agent patterns.
Senior Machine Learning Engineer at State of Florida
April 1, 2022 - December 1, 2024Architected an end-to-end fraud detection platform for unemployment and public assistance claims, consolidating multi-source data into a unified feature store, enabling real-time risk scoring and automated claim routing. Implemented PII masking, RBAC, and audit trails; transitioned to event-driven real-time scoring with Azure Functions; built APIs to feed adjudication systems; established ML lifecycle governance with MLflow and automated drift monitoring.
Machine Learning Engineer / Senior Data Scientist at Wells Fargo
August 1, 2020 - March 1, 2022Designed end-to-end credit risk ML pipeline integrating bureau feeds, transaction histories, and customer profiles. Established PII masking and lineage, engineered predictive features, trained multiple models (Logistic Regression, Random Forest, Gradient Boosting) with backtesting, and implemented SHAP explainability. Automated feature refresh and batch scoring via Airflow, routing scores to downstream portfolio systems for risk visibility.
Data Scientist at AT&T
October 1, 2018 - July 1, 2020Ran feature engineering on large-scale telecom data to build churn models; deployed REST APIs to expose scores to CRM for campaign targeting; delivered dashboards and maintained feedback loops to improve model accuracy over time. Worked with cross-functional teams to translate model outputs into business actions and retention strategies.
Data Engineer at EdgeVerve Systems Limited
January 1, 2016 - August 1, 2018Built backend services for invoice processing and reconciliation on the Finacle banking platform. Developed Tesseract OCR pipelines to extract data from documents, created REST APIs for data exchange, automated end-to-end pipelines, and established robust logging/monitoring to reduce MTTR.
Education
B.Tech in Computer Science at Anil Neerukonda Institute of Technology & Sciences
January 11, 2030 - June 29, 2026Bachelor of Technology (B.Tech), Computer Science at Anil Neerukonda Institute of Technology & Sciences
January 11, 2030 - June 29, 2026Qualifications
Industry Experience
Healthcare, Financial Services, Government, Telecommunications, Software & Internet, Professional Services
Skills
Experience Level
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