Available to hire
I am an experienced Lead Data Scientist and Machine Learning Engineer with 12 years of experience designing and deploying AI-driven solutions across finance, healthcare, consumer products, and enterprise automation. I specialize in end-to-end ML systems, generative AI, and large-scale data engineering, leading cross-functional teams to productionize deep learning and LLM-based applications. I build agentic AI systems, RAG pipelines, and predictive analytics platforms that drive measurable business value, aligning AI innovation with organizational goals through scalable architectures, MLOps, and strong stakeholder collaboration.
Skills
Work Experience
Lead Data Scientist | Machine Learning Engineer at Nexus Devs
January 1, 2023 - November 11, 2025Created and deployed production-scale ML and DL models on large, high-velocity datasets to optimize supply-demand alignment, reduce inventory costs, and improve forecasting accuracy. Built end-to-end GenAI pipelines using LLMs (GPT, LLaMA, Mistral), vector databases (Pinecone, Qdrant), and frameworks such as LangChain, CrewAI, and AutoGen. Designed an agentic AI-driven financial workflow automation system to streamline transaction processing, anomaly detection, reconciliation, and regulatory reporting across enterprise finance operations.
Senior Data Scientist at Third Wave
December 1, 2022 - December 1, 2022Designed and deployed an end-to-end call analytics pipeline for healthcare support using fine-tuned LLMs on medical transcripts. Built intent classification models for patient and provider queries, and developed ML solutions for healthcare utilization, fraud detection, and patient risk scoring. Engineered healthcare data via Azure Databricks, PySpark, and SQL; developed NER modules using RoBERTa; implemented GDPR/HIPAA-compliant anonymization and produced dashboards for stakeholders.
Data Scientist | AI Engineer at Revlon
April 1, 2019 - April 1, 2019Designed a full-scale personalized recommendation pipeline using historical purchase behavior and demographics; built customer segmentation, upsell and repeat-purchase recommender systems; deployed outputs into cross-channel marketing automation; developed data pipelines with Airflow and Spark; built XGBoost-based predictive models with SHAP explanations.
Data Scientist at The Boston Bear Company
January 1, 2016 - January 1, 2016Led end-to-end development of AI-driven systems to optimize financial workflows, logistics planning, and customer collections. Built cash flow forecasting models (ARIMA, Prophet, LSTM) and designed logistics cost optimization via linear programming. Automated email triaging and case routing with NLP pipelines to boost SLA performance and response times.
Education
Master's Degree at University of Maryland
January 11, 2030 - January 1, 2021Master's Degree at Lamar University
January 11, 2030 - January 1, 2014Qualifications
Industry Experience
Financial Services, Healthcare, Software & Internet, Professional Services
Skills
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