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Hi, I'm Shukdev Sharma. I'm an AI/ML Engineer with 4+ years of experience turning complex financial and healthcare data into production-ready predictive and Generative AI solutions. In my work, I focus on delivering robust ML systems and scalable AI deployments. I specialize in risk modeling, forecasting, NLP-driven document intelligence, explainable AI, and scalable deployment. I enjoy building practical ML solutions that inform decision-making, automate manual analyses, and empower enterprise-grade analytics.…Hi, I'm Shukdev Sharma. I'm an AI/ML Engineer with 4+ years of experience turning complex financial and healthcare data into production-ready predictive and Generative AI solutions. In my work, I focus on delivering robust ML systems and scalable AI deployments. I specialize in risk modeling, forecasting, NLP-driven document intelligence, explainable AI, and scalable deployment. I enjoy building practical ML solutions that inform decision-making, automate manual analyses, and empower enterprise-grade analytics.

Shukdev Sharma

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hi, I'm Shukdev Sharma. I'm an AI/ML Engineer with 4+ years of experience turning complex financial and healthcare data into production-ready predictive and Generative AI solutions. In my work, I focus on delivering robust ML systems and scalable AI deployments. I specialize in risk modeling, forecasting, NLP-driven document intelligence, explainable AI, and scalable deployment. I enjoy building practical ML solutions that inform decision-making, automate manual analyses, and empower enterprise-grade analytics.…Hi, I'm Shukdev Sharma. I'm an AI/ML Engineer with 4+ years of experience turning complex financial and healthcare data into production-ready predictive and Generative AI solutions. In my work, I focus on delivering robust ML systems and scalable AI deployments. I specialize in risk modeling, forecasting, NLP-driven document intelligence, explainable AI, and scalable deployment. I enjoy building practical ML solutions that inform decision-making, automate manual analyses, and empower enterprise-grade analytics.

Available to hire

Hi, I’m Shukdev Sharma. I’m an AI/ML Engineer with 4+ years of experience turning complex financial and healthcare data into production-ready predictive and Generative AI solutions. In my work, I focus on delivering robust ML systems and scalable AI deployments.

I specialize in risk modeling, forecasting, NLP-driven document intelligence, explainable AI, and scalable deployment. I enjoy building practical ML solutions that inform decision-making, automate manual analyses, and empower enterprise-grade analytics.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

AI/ML Engineer at Commerce Bank of Arizona

June 1, 2025 - Present

Created an end-to-end AI Cash-Flow Forecasting & Credit Risk Platform to automate forecasting, risk scoring, and explainable financial insights across banking operations using ML and GenAI. Engineered cash-flow forecasting and credit-risk models processing 5M+ records with Python pipelines and PyTorch neural networks, achieving 0.91 AUC through feature tuning. Delivered an Angular-based credit risk dashboard enabling real-time visualizations for 10,000+ users. Orchestrated LLM workflows by using GPT for risk-summaries and LangChain for document retrieval, prompt routing, and multi-source data analysis. Leveraged BERT embeddings to classify credit risk signals and analyze financial documents, improving classification F1-score by 17% across labeled datasets. Applied few-shot learning techniques to improve credit classification with limited labeled data. Operationalized MLflow tracking and scalable AWS infrastructure for real-time credit risk scoring across 1M+ transactions, ensuring repr

ML Engineer at Capgemini

February 1, 2021 - June 1, 2024

Developed an end-to-end Healthcare Intelligence Platform using Python, ML, and Azure to support patient risk prediction, operational forecasting, and clinical decision intelligence. Designed and trained predictive models using TensorFlow, Scikit-learn, and XGBoost to identify patient risk patterns, forecast healthcare demand, and support preventive care planning. Processed and transformed 3M+ patient records using Pandas, NumPy, and SQL, improving feature preparation efficiency by 24% for scalable machine learning workflows. Built an XGBoost-based readmission risk model achieving 92% AUC, helping clinical teams improve early intervention accuracy by 22% across preventive care use cases. Developed patient flow forecasting models using historical clinical data, statistical analysis, and feature engineering techniques, improving demand prediction accuracy by 19% for resource planning. Automated healthcare ETL workflows using Apache Airflow to manage data ingestion, validation, transformat