I'm a software engineer specializing in enterprise AI/ML with 3 years of progressive experience across the full ML lifecycle—from data exploration and feature engineering to model training, MLOps, and scalable cloud deployment. I combine strong technical skills in Python, distributed computing, and deep learning with a product mindset to deliver intelligent solutions that drive revenue growth, optimize costs, and mitigate risk. I thrive in cross-functional teams and work to align technical execution with strategic business goals. In my current role at Capital One, I build real-time risk and fraud detection systems, deploy ML models as scalable services, and continuously monitor performance and drift in production. I enjoy optimizing infrastructure, mentoring teammates, and delivering practical, data-driven results that users and stakeholders can trust.

Sasi Supraja

I'm a software engineer specializing in enterprise AI/ML with 3 years of progressive experience across the full ML lifecycle—from data exploration and feature engineering to model training, MLOps, and scalable cloud deployment. I combine strong technical skills in Python, distributed computing, and deep learning with a product mindset to deliver intelligent solutions that drive revenue growth, optimize costs, and mitigate risk. I thrive in cross-functional teams and work to align technical execution with strategic business goals. In my current role at Capital One, I build real-time risk and fraud detection systems, deploy ML models as scalable services, and continuously monitor performance and drift in production. I enjoy optimizing infrastructure, mentoring teammates, and delivering practical, data-driven results that users and stakeholders can trust.

Available to hire

I’m a software engineer specializing in enterprise AI/ML with 3 years of progressive experience across the full ML lifecycle—from data exploration and feature engineering to model training, MLOps, and scalable cloud deployment. I combine strong technical skills in Python, distributed computing, and deep learning with a product mindset to deliver intelligent solutions that drive revenue growth, optimize costs, and mitigate risk. I thrive in cross-functional teams and work to align technical execution with strategic business goals.

In my current role at Capital One, I build real-time risk and fraud detection systems, deploy ML models as scalable services, and continuously monitor performance and drift in production. I enjoy optimizing infrastructure, mentoring teammates, and delivering practical, data-driven results that users and stakeholders can trust.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Work Experience

Software Engineer (AI/ML) at Capital One
February 1, 2024 - Present
Architected and deployed a fraud detection ensemble model using XGBoost and TensorFlow, analyzing over 1,000,000 monthly transactions to improve fraudulent pattern identification by 18%. Automated end-to-end data ETL pipelines on AWS (S3, Lambda, Step Functions), reducing dataset preparation time for model training by 25%. Served ML models as high-availability REST APIs using Flask and FastAPI for real-time risk assessment processing 5,000+ credit applications daily with sub-second latency. Implemented a computer vision model with OpenCV and PyTorch for automated document verification, cutting processing time by 40%. Orchestrated model training and deployment workflows with AWS SageMaker Pipelines, improving experiment tracking and model version control. Containerized inference services with Docker and Kubernetes, standardizing environments and reducing deployment issues by 90%. Monitored model performance and data drift with CloudWatch, creating alerts for retraining. Developed A/B te
Software Engineer at Cred
May 1, 2022 - July 1, 2023
Engineered a creditworthiness scoring algorithm using Scikit-learn and LightGBM, automating the initial loan application review for 95% of users and reducing manual underwriting workload. Developed secure RESTful APIs with third-party payment gateways and credit bureaus, processing over $2M in transactions with 99.9% uptime. Built interactive dashboards using JavaScript and React.js for real-time visibility into key metrics and model accuracy. Optimized data preprocessing modules in C and NumPy, accelerating feature generation for model training by 30%. Refactored 20+ SQL queries and PostgreSQL schemas, decreasing application response time for high-traffic features by 30%. Introduced unit and integration testing for new endpoints, increasing test coverage and reducing post-release bugs. Pioneered feature flags for gradual ML model rollouts and implemented Redis caching to reduce database load and improve API response times. Implemented data anomaly detection scripts to monitor daily tr

Education

Master of Science, Computer Science at Texas A&M University, Corpus Christi
January 11, 2030 - March 5, 2026
Bachelor of Technology, Computer Science at Madanapalle Institute of Technology & Science, India
January 11, 2030 - March 5, 2026

Qualifications

AWS Certified Developer – Associate
January 11, 2030 - March 5, 2026

Industry Experience

Software & Internet, Financial Services