Available to hire
Data Scientist and GenAI Engineer with 5+ years of experience delivering enterprise ML, GenAI, and data pipelines across AWS, Azure, and GCP in regulated domains like healthcare and financial services. Specialized in API-driven GenAI applications with secure, compliant workflows at scale.
Built production-grade fraud detection, predictive analytics, and RAG-based LLM customer assistants with low-latency inference and strong MLOps/monitoring. Experienced partnering with cross-functional stakeholders and ensuring governance, audit readiness, and reliability for real-world deployments.
Skills
Experience Level
Expert
Expert
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Expert
Expert
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Expert
Intermediate
Intermediate
Intermediate
Language
English
Advanced
Work Experience
AI Data Engineer at New Math Data LLC
March 1, 2026 - PresentDeveloped AWS-based generative AI and agentic AI solutions leveraging Amazon Bedrock, AgentCore Runtime, OpenSearch, DynamoDB, S3 and FastAPI to automate business workflows and intelligent decision making. Designed ETL pipelines using SQL, S3 and PostgreSQL for ingestion, transformation and processing of structured and unstructured datasets. Built natural language analytics capabilities including AI-generated summaries, conversational search and LLM-driven data exploration. Leveraged prompt engineering, prompt caching, and Bedrock guardrails to improve model accuracy and governance. Collaborated with AWS solutions architects, principal consultants and stakeholders to deliver proofs of concept and production-grade GenAI solutions across customer platforms.
AI Data engineer at Discover Financial Services
May 1, 2025 - February 1, 2026Built a secure GenAI-powered customer service assistant on AWS to automate banking inquiries using LLMs and RAG. Architected an end-to-end SageMaker-based assistant enabling automated handling of 120+ intent types across cards, payments, and account servicing for 5 banking product lines. Deployed production inference pipelines handling 2M+ conversations annually with grounded responses sourced from 15K+ documents. Developed API-based services using Python and FastAPI with JWT authentication and role-based access controls, including secure prompt orchestration with PII masking across 4 customer segments. Implemented retrieval optimization, response ranking, and hallucination/grounding evaluation, plus fallback workflows routing 8K+ edge cases per month to human agents. Built document ingestion and vector indexing workflows chunking 8M+ tokens, and deployed low-latency inference endpoints supporting 3K+ requests per minute with sub-900ms average response times. Implemented CI/CD with Git
GenAI Engineer at Discover Financial Services
May 1, 2025 - February 28, 2026Developed a GenAI-powered banking assistant using SageMaker and RAG applications automating support for 120+ inquiry types. Processed and organized 15k+ policies and built semantic search with vector DBs reducing customer escalations by 31% and speeding up issue resolution. Deployed fast, secure LLM endpoints with PII-masked prompt flows and real-time logs via Kinesis for constant improvement. Conducted A/B testing over 60 days across live cohorts by reducing handle time by 29% and improving query resolution.
Data Scientist at Optum
May 1, 2024 - April 30, 2025Build fraud detection ML systems analyzing 40M+ claims annually, flagging anomalies across medical and pharmacy workflows. Collaborated with clinical teams to refine labels and improve signal accuracy and boosting fraud model precision by 21%. Reduced data pipeline runtime by 50% with optimized Glue and SageMaker workflows, enabling daily fraud detection cycles. Integrated model outputs into fraud case systems to support investigation workflows. Defined lifecycle and governance processes to support model retraining and regulatory readiness.
Junior Data Scientist at HP Global Soft PVT Limited
November 1, 2020 - July 31, 2022Predicted hardware failures across 20M+ telemetry events/month using supervised learning models trained in Azure and GCP. Enabled a 28% drop in downtime by feeding real-time risk scores into proactive maintenance systems. Enabled proactive maintenance planning and prioritizing 10k+ service orders quarterly based on model risk scoring. Built validation and monitoring dashboards using Azure Monitor for real-time visibility into failure trends.
ML Engineer at Seagate Technologies (Remote)
June 1, 2019 - October 1, 2020Built a scalable predictive failure detection system on AWS to forecast disk failures across 10K+ devices using streaming telemetry and batch history. Designed end-to-end modeling workflows on SageMaker analyzing 50M+ telemetry records; enabled early identification of disk failure risks across multiple device families for global operations teams. Built real-time ingestion pipelines using Kinesis and Lambda to process 20K+ events per second with sub-30-second processing latency, transforming raw sensor signals into structured features. Created distributed analytics/feature pipelines using SQL, Python, and Spark. Built offline ETL on S3 curating 5TB of historical SMART metrics and logs, generating 120+ features for supervised classification. Trained and evaluated models in SageMaker with multiple algorithms and 10-fold validation improving precision by 18% while meeting recall targets. Deployed models via Lambda scoring 1M+ devices daily; integrated predictions into alerting workflows an
ML Engineer at Seagate Technologies
June 1, 2019 - October 31, 2020Engineered predictive systems for disk failure detection using streaming data and historical trends. Built scalable ingestion and ML workflows in AWS with real-time insights for reliability teams. Maintained model governance and reproducibility across development environments. Optimized data processing and reduced false alerts through refinement and validation strategies. Projects included GenAI-powered customer service assistant on AWS SageMaker with LLMs and RAG, secure document processing and vector search pipelines, and a predictive failure detection system with Kinesis streaming ingestion.
Education
Master of Public Health (Statistics & Epidemiology) at Saint Louis University, Missouri
January 11, 2030 - June 29, 2026Doctor of Pharmacy (Pharm.D.) at Andhra University, India
January 11, 2030 - June 29, 2026Master of Public Health (Statistics & Epidemiology) at Saint Louis University
January 11, 2030 - July 23, 2026Doctor of Pharmacy (Pharm.D.) at Andhra University
January 11, 2030 - July 23, 2026Master of Public Health (Statistics & Epidemiology) at Saint Louis University
January 11, 2030 - July 23, 2026Doctor of Pharmacy (Pharm.D.) at Andhra University
January 11, 2030 - July 23, 2026Qualifications
AWS Certified Solutions Architect – Associate
January 11, 2030 - June 29, 2026AWS Certified Data Analytics
January 11, 2030 - June 29, 2026Azure Data Engineer Associate
January 11, 2030 - June 29, 2026Google Professional Machine Learning Engineer
January 11, 2030 - June 29, 2026AWS Certified Data Analytics
January 11, 2030 - July 23, 2026AWS Certified Machine Learning
January 11, 2030 - July 23, 2026Microsoft: Azure AI Engineer Associate
January 11, 2030 - July 23, 2026Microsoft: fabric analytics engineer associate
January 11, 2030 - July 23, 2026AWS Certified Solutions Architect
January 11, 2030 - July 23, 2026IBM Data science
January 11, 2030 - July 23, 2026IBM Generative AI Engineer
January 11, 2030 - July 23, 2026AWS Certified Data Analytics
January 11, 2030 - July 23, 2026AWS Certified Machine Learning
January 11, 2030 - July 23, 2026Microsoft Azure AI Engineer Associate
January 11, 2030 - July 23, 2026Microsoft fabric analytics engineer associate
January 11, 2030 - July 23, 2026AWS Certified Solutions Architect
January 11, 2030 - July 23, 2026IBM Data science
January 11, 2030 - July 23, 2026IBM Generative AI
January 11, 2030 - July 23, 2026Industry Experience
Financial Services, Healthcare, Software & Internet, Professional Services, Media & Entertainment, Other
Skills
Experience Level
Expert
Expert
Expert
Expert
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Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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