Available to hire
AI/ML Engineer with 10+ years of experience building production-grade machine learning and enterprise Generative AI solutions across healthcare, life sciences, financial services, and banking. Expertise includes LLM/NLP applications, RAG pipelines, predictive modeling, and scalable data/AI platforms.
I translate complex business needs into measurable outcomes by delivering end-to-end AI systems with strong MLOps, monitoring, security/DevSecOps, and responsible AI practices—partnering with engineering and stakeholders to improve decision-making, reduce manual effort, and optimize cost and reliability.
Experience Level
Expert
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Expert
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Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Language
Work Experience
AI Engineer (LLMs & NLP) at Sanofi
April 1, 2024 - PresentDesigned and deployed enterprise generative AI solutions for research workflows, medical knowledge discovery, regulatory operations, and internal productivity. Built LLM-powered applications using RAG, NLP, vector search, and cloud AI services with security, scalability, and responsible AI practices. Developed RAG pipelines (embeddings + vector databases), built NLP workflows for classification, entity extraction, summarization, and semantic search across 100K+ documents, and fine-tuned/evaluated open-source LLMs on domain datasets. Engineered prompts and AI agent workflows to improve consistency and reduce hallucinations. Implemented document ingestion pipelines and semantic search (FAISS, Pinecone, ChromaDB). Created evaluation frameworks for accuracy, relevance, latency, and factual consistency, and exposed capabilities via REST APIs using FastAPI/microservices. Optimized inference costs and maintained production monitoring/governance.
Machine Learning Engineer at USAA
January 1, 2023 - March 31, 2024Developed and productionized machine learning solutions for fraud detection, customer analytics, risk modeling, and operational automation. Built models that improved fraud/risk detection accuracy by 20%+ and engineered feature pipelines processing millions of transactions for real-time predictions. Deployed models using AWS SageMaker and Azure Machine Learning, and automated training/deployment workflows to reduce manual release cycles by 50%. Created REST APIs for real-time inference and integrated ML services into enterprise applications. Implemented monitoring for drift, data quality, and prediction performance; built CI/CD for ML reliability; and performed A/B testing and statistical evaluations to measure model impact. Collaborated with data and software engineering teams for platform integration, and documented workflows and validation results to meet governance needs while supporting production troubleshooting and continuous improvement.
Machine Learning Engineer at United Services Automobile Association (USAA)
January 1, 2023 - March 1, 2024Developed and productionized ML solutions for fraud detection, customer analytics, risk scoring, and operational automation. Built models that improved fraud detection accuracy by 20%+. Created automated feature engineering pipelines for millions of financial transactions for real-time predictions. Deployed models via AWS SageMaker and Azure Machine Learning, automating training/deployment workflows to reduce manual release cycles by 50%. Improved performance through feature engineering, hyperparameter tuning, and validation. Implemented REST APIs for real-time predictions and integrated monitoring for drift/data quality/prediction performance. Built CI/CD for ML workflows, created monitoring dashboards, and supported A/B testing and governance documentation.
Senior Data Scientist at Depository Trust & Clearing Corporation (DTCC)
September 1, 2020 - December 31, 2022Led analytics and machine learning initiatives for financial risk management, operational forecasting, anomaly detection, and regulatory reporting. Owned end-to-end projects from data exploration and feature engineering to deployment and business adoption. Built predictive models that improved decision accuracy by 25%, including classification, regression, and time-series forecasting on large financial datasets. Implemented feature engineering strategies to reduce false positives and performed advanced statistical analysis to identify operational trends and business opportunities. Developed customer/transaction segmentation models for better risk assessment and targeting. Analyzed millions of financial records using Python, SQL, and Spark; delivered executive dashboards and reports via Power BI and Tableau. Mentored junior data scientists, collaborated with stakeholders to translate requirements, and maintained documentation/validation/compliance artifacts in regulated environments, al
Senior Data Scientist at Depository Trust & Clearing Corporation
September 1, 2020 - December 1, 2022Led analytics and ML initiatives for financial risk management, operational forecasting, anomaly detection, and regulatory reporting. Delivered end-to-end projects from exploration and feature engineering through deployment and adoption. Built predictive models that improved decision accuracy by 25%, including classification, regression, and time-series forecasting on large financial datasets. Developed strategies to reduce false positives, performed statistical analysis on enterprise data, and created customer/transaction segmentation models. Analyzed millions of records using Python, SQL, and Spark. Built dashboards in Power BI/Tableau, mentored junior scientists, and maintained model documentation and compliance artifacts for regulated environments.
Data Scientist at Quicken Loans
January 1, 2019 - August 1, 2020Built predictive analytics solutions to improve loan processing efficiency, customer retention, marketing effectiveness, and operational decision-making. Developed loan approval and risk/retention models using historical lending data and improved customer targeting accuracy by 20% through classification and regression. Conducted exploratory data analysis, created customer segmentation models, and applied feature engineering to improve accuracy. Automated recurring reports with SQL/Python (reducing manual effort by 30%). Produced dashboards in Tableau/Power BI, evaluated performance with standard metrics (accuracy, precision/recall, ROC), improved data validation/quality, and supported deployment into business workflows with documented methodology and results.
Data Analyst at Dr.Reddy’s Laboratories
June 1, 2015 - August 1, 2017Analyzed manufacturing, quality, and supply chain data to support operational improvements and reporting automation in pharmaceutical operations. Identified operational trends and built SQL queries for reporting and performance tracking. Developed Power BI/Tableau dashboards for production KPIs, quality metrics, and inventory performance. Automated recurring Excel reports using VBA (reducing manual reporting effort by 40%). Performed statistical analysis for quality investigations, improved data accuracy by validating/reconciling across ERP/manufacturing systems, created KPI reports for production/quality teams, supported supply chain analytics, implemented validation checks to address inconsistencies, and generated executive summaries with standardized documentation.
Education
Bachelor of Technology in Computer Science and Engineering at Padmavati University, India
June 1, 2011 - May 1, 2015Master of Science in Information and Computer Science at Webster University
August 1, 2017 - December 1, 2018Bachelor of Technology in Computer Science and Engineering at Padmavati University
June 1, 2011 - May 31, 2015Master of Science in Information and Computer Science at Webster University
August 1, 2017 - December 31, 2018Bachelor of Technology in Computer Science and Engineering at Padmavati University
June 1, 2011 - May 1, 2015Master of Science in Information and Computer Science at Webster University
August 1, 2017 - December 1, 2018Qualifications
Microsoft Certified: Azure Data Scientist Associate (DP-100)
January 1, 2020 - August 20, 2026AWS Certified Machine Learning
January 1, 2021 - August 20, 2026Databricks Certified Machine Learning Associate
January 1, 2022 - August 20, 2026Microsoft Certified: Azure AI Engineer Associate (AI-102)
January 1, 2023 - August 20, 2026Generative AI & Large Language Models (LLMs) Certification
January 1, 2024 - August 20, 2026Microsoft Certified: Azure Data Scientist Associate (DP-100)
January 1, 2020 - August 20, 2026AWS Certified Machine Learning
January 1, 2021 - August 20, 2026Databricks Certified Machine Learning Associate
January 1, 2022 - August 20, 2026Microsoft Certified: Azure AI Engineer Associate (AI-102)
January 1, 2023 - August 20, 2026Generative AI & Large Language Models (LLMs) Certification
January 1, 2024 - August 20, 2026Microsoft Certified: Azure Data Scientist Associate (DP-100)
January 1, 2020 - August 26, 2026AWS Certified Machine Learning
January 1, 2021 - August 26, 2026Databricks Certified Machine Learning Associate
January 1, 2022 - August 26, 2026Microsoft Certified: Azure AI Engineer Associate (AI-102)
January 1, 2023 - August 26, 2026Generative AI & Large Language Models (LLMs) Certification
January 1, 2024 - August 26, 2026Industry Experience
Healthcare, Life Sciences, Financial Services, Professional Services, Computers & Electronics, Other
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Intermediate
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