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I am a results-driven AI/ML engineer with 4+ years of experience building end-to-end AI solutions across healthcare and finance. I enjoy turning messy data into robust models, deploying them in production, and collaborating with clinicians and risk teams to drive measurable outcomes. I love combining advanced ML techniques with GenAI-driven automation to streamline decision-making and improve patient care and business performance. I’m passionate about building auditable, scalable systems and mentoring teams to adopt best practices in ML engineering.…I am a results-driven AI/ML engineer with 4+ years of experience building end-to-end AI solutions across healthcare and finance. I enjoy turning messy data into robust models, deploying them in production, and collaborating with clinicians and risk teams to drive measurable outcomes. I love combining advanced ML techniques with GenAI-driven automation to streamline decision-making and improve patient care and business performance. I’m passionate about building auditable, scalable systems and mentoring teams to adopt best practices in ML engineering.

HARSHINI SAI SANGADIAI

AI Engineer, AI Developer, Data Scientist, +2

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I am a results-driven AI/ML engineer with 4+ years of experience building end-to-end AI solutions across healthcare and finance. I enjoy turning messy data into robust models, deploying them in production, and collaborating with clinicians and risk teams to drive measurable outcomes. I love combining advanced ML techniques with GenAI-driven automation to streamline decision-making and improve patient care and business performance. I’m passionate about building auditable, scalable systems and mentoring teams to adopt best practices in ML engineering.…I am a results-driven AI/ML engineer with 4+ years of experience building end-to-end AI solutions across healthcare and finance. I enjoy turning messy data into robust models, deploying them in production, and collaborating with clinicians and risk teams to drive measurable outcomes. I love combining advanced ML techniques with GenAI-driven automation to streamline decision-making and improve patient care and business performance. I’m passionate about building auditable, scalable systems and mentoring teams to adopt best practices in ML engineering.

Available to hire

I am a results-driven AI/ML engineer with 4+ years of experience building end-to-end AI solutions across healthcare and finance. I enjoy turning messy data into robust models, deploying them in production, and collaborating with clinicians and risk teams to drive measurable outcomes.

I love combining advanced ML techniques with GenAI-driven automation to streamline decision-making and improve patient care and business performance. I’m passionate about building auditable, scalable systems and mentoring teams to adopt best practices in ML engineering.

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Afar

Advanced

Work Experience

AI/ML Engineer at Optum

May 1, 2024 - Present

Built an end-to-end machine learning pipeline to predict chronic disease risk using large-scale EHR and demographic data, improving early-risk identification by 18-22% over baseline models. Ingested 2M+ patient records from data lakes using SQL and Python; engineered clinical risk features and trained Random Forest and TensorFlow-based models achieving 0.82-0.86 AUC across cohorts. Designed a hybrid optimization framework combining Genetic Algorithms for population-level care prioritization and Reinforcement Learning for adaptive care plan updates, increasing intervention effectiveness by 15% in pilots. Integrated real-time patient monitoring signals with historical records to dynamically update risk scores, reducing delayed interventions by 20%. Deployed production pipelines on AWS SageMaker with SageMaker Pipelines and real-time Endpoints; dashboards with Power BI for risk stratification and treatment effectiveness.

AI/ML Engineer at Capgemini

June 1, 2020 - July 1, 2023

Developed scalable ML solutions to predict borrower default risk and segment customers for automated credit decisioning. Built ETL pipelines to ingest, cleanse, and transform financial datasets; performed feature engineering to improve signal strength. Trained and deployed supervised models using Scikit-learn, XGBoost, and LightGBM achieving 0.78-0.83 AUC and improved risk tier classification. Implemented workflow automation with Apache Airflow and model monitoring/drift detection; integrated models into loan origination systems to accelerate decision cycles by 25%. Built Tableau dashboards for risk management and decision traceability.