Led design and deployment of predictive and generative AI systems on GCP for clinical decision support, building end-to-end pipelines from data ingestion to scalable deployment with explainability. Spearheaded the AI Insights Platform, integrating EHR, clinical, and operational data to empower care teams with timely, data-driven insights.

Senior Data Scientist / Machine Learning Engineer at Cognizant

February 28, 2023 - February 28, 2023

Delivered data science engagements across healthcare, finance, and e-commerce; designed predictive models, multi-cloud ML workflows, and governance frameworks. Translated client objectives into analytical strategies and built production-grade pipelines with a strong focus on compliance and interpretability.

Data Scientist at Wayfair

February 28, 2019 - February 28, 2019

Developed personalization, search relevance, and pricing optimization; owned end-to-end experimentation, inference, and reporting. Built large-scale pipelines and real-time recommendation endpoints to influence ranking and UX.

Data Analyst / Data Science Associate at Capital One

December 31, 2015 - December 31, 2015

Supported credit risk, fraud detection, and financial forecasting; automated data prep, built risk scoring models, dashboards, and forecasting frameworks to aid capital planning and risk management.

Senior AI/ML Engineer / Tech Lead at Elation Health

March 1, 2023 - November 6, 2025

Led design and deployment of predictive and generative AI systems for clinical decision support on GCP. Built the Elation AI Insights Platform integrating EHR, clinical, and operational data. Implemented streaming and batch pipelines (Vertex AI, BigQuery, Dataflow) enabling near real-time predictions in clinician dashboards. Developed large-scale patient-risk models over ~10M EMR records, improving early deterioration and chronic-care predictions by ~30%. Implemented document ingestion via Document AI and OCR to convert scanned forms into structured records. Fine-tuned Gemini 1.5 Pro for note summarization; piloted RAG flows with LangChain to ground LLM outputs in EHR data. Built Go gRPC inference services on GKE with adaptive batching; latency under 100 ms. Established CI/CD, monitoring, feature stores, drift checks, and governance for HIPAA-compliant, auditable AI ops.

Senior Data Scientist / Machine Learning Engineer at Cognizant

February 1, 2023 - February 1, 2023

Delivered multi-cloud ML engagements for healthcare, finance, and e-commerce; translated client objectives into measurable analytics strategies. Designed and validated predictive models (Python, R, MATLAB) with emphasis on interpretability and regulatory compliance. Applied Bayesian hierarchical models for cost-of-care estimation; built segmentation and clustering to surface high-value cohorts. Shipped production ML workflows on AWS/Azure; built dashboards (Tableau/Power BI) and integrated model monitoring with MLflow for lineage. Led experimentation (A/B, causal uplift) and backtesting; migrated legacy SAS workloads to PySpark/R; delivered client-facing playbooks and workshops.

Data Scientist at Wayfair

February 1, 2019 - February 1, 2019

Developed large-scale personalization and search relevance; built collaborative-filtering and content-based recommender systems using Spark MLlib. Designed learning-to-rank and embedding-based semantic search to surface long-tail results, improving NDCG by ~15%. Conducted A/B and uplift analyses; introduced Bayesian/sequential testing to stop experiments earlier without sacrificing power. Built real-time endpoints for on-render personalization; collaborated with frontend teams on dashboards to monitor model impact. Integrated text and image embeddings to improve product similarity scoring and ranking.

Data Analyst / Data Science Associate at Capital One

December 1, 2015 - December 1, 2015

Supported credit risk, fraud detection, and forecasting through statistical analysis and predictive modeling. Built credit-risk scoring models (Python/SAS) to tighten approvals within risk appetite. Automated data prep and feature extraction, cutting model refresh time from days to hours. Developed dashboards for portfolio health and delinquency trends; helped migrate legacy analytics to AWS (Redshift, EMR) and implement forecasting frameworks in R and MATLAB. Presented results to senior risk leaders emphasizing interpretability and actionable insights.

Senior AI/ML Engineer | Tech Lead at Elation Health

March 1, 2023 - November 12, 2025

Led design and deployment of predictive and generative AI systems on GCP for patient engagement, risk forecasting, and clinical decision support. Owned end-to-end lifecycle—from data ingestion and model training to scalable deployment and explainable AI integration—ensuring models remained trustworthy, compliant, and impactful in real-world healthcare workflows.

Senior Data Scientist / Machine Learning Engineer at Cognizant

March 1, 2019 - February 1, 2023

Delivered NLP, automation, and statistical modeling for healthcare, finance, and retail clients. Fine-tuned BERT/RoBERTa/DistilBERT for classification, NER, and summarization, reducing manual claims review by 40%+. Built end-to-end NLP pipelines with spaCy, scikit-learn, and TensorFlow for document parsing and intent tagging. Automated OCR-heavy claims ingestion by integrating Tesseract OCR with Dataflow + Pub/Sub pipelines, cutting batch latency by 35%. Applied regression and time-series forecasting in R and BigQuery ML to provide interpretable baselines for claims and risk forecasting. Implemented hybrid retrieval with FAISS and BM25 to improve top-5 recall; developed multilingual chatbots and fallback workflows; mentored junior analysts; contributed to data governance and audit readiness.

Data Scientist at Wayfair

January 1, 2016 - February 1, 2019

Developed large-scale personalization systems for product recommendations and search optimization. Built collaborative-filtering and content-based recommenders on Spark MLlib, achieving ~12% CTR/conversion lift in multiple categories. Led A/B testing and Bayesian/sequential experimentation for faster iteration. Created pricing and discount-optimization models in R, boosting gross margin per session by ~6%. Built shared feature pipelines in PySpark and Airflow; used text and image embeddings to improve product similarity. Wrote guidance for PMs/UX on interpreting results and leveraging predictive signals.

Data Analyst / Data Science Associate at Capital One

July 1, 2013 - December 1, 2015

Supported credit risk, fraud detection, and forecasting through statistical analysis, data automation, and predictive modeling. Built credit-risk scoring models (logistic regression, decision trees) to tighten approvals within risk appetite. Developed fraud/anomaly detection jobs on Hadoop/Hive with time-window aggregations. Automated data prep and feature extraction in Python/SQL, reducing model refresh time from days to hours. Built dashboards on top of Java APIs for risk monitoring, and moved analytics workloads to AWS (Redshift, EMR) for scalable processing. Designed loss-forecasting and credit-limit models to improve generalization on out-of-time samples.

Senior AI/ML Engineer, Tech Lead at Elation Health

March 1, 2023 - Present

Led the AI work behind Elation AI Insights Platform, a HIPAA-compliant system that predicts patient risk, supports clinical outreach, and securely integrates LLM-based automation into healthcare workflows. Focused on predictive modeling, Generative AI, and MLOps, with an emphasis on building clinician trust through explainability, governance, and auditable artifacts. Key contributions include scaling predictive models across 10M+ EMR records using PySpark and Ray for distributed training and Weights & Biases experiment tracking, enabling weekly retraining and improving risk detection accuracy by 27%. Automated chart review by pairing LayoutLMv3 with Tesseract OCR to convert scanned forms into structured patient timelines, saving clinicians over 1,500 hours annually. Designed memory-aware agents and multimodal UIs for telehealth, and deployed low-latency gRPC microservices on Kubernetes to meet strict HIPAA requirements.