Software Engineer with expertise in full-stack development, AI/ML systems, cloud architecture, and data analytics. Experience with FinTech, healthcare, and enterprise solutions. Currently pursuing MS in Computer Science at Santa Clara University.
Advanced coursework in AI/ML, distributed systems, and software engineering.
Foundation in CS fundamentals, algorithms, and ML specialization.
Amazon Web Services
Udemy
Apr 2025 - Present
Enhanced 3 full-stack web applications using React.js, Node.js, Express, and PostgreSQL. Developed 10+ RESTful APIs and microservices with secure backend logic. Integrated 6+ third-party APIs including payment gateways and email services, improving user experience across client applications.
Feb 2024 - Sep 2024
Built distributed monitoring systems with customized Linux kernels and multi-kernel deployments. Developed loadable kernel modules for TCP packet detection and network monitoring. Analyzed large-scale system behavior using Libpcap/tshark and benchmarked TCP congestion control algorithms with automated Python visualizations.
Jan 2022 - Jun 2023
Led 10+ TB data migration project building secure backend APIs and scalable microservices. Automated data pipelines reducing manual input by 80%. Boosted application speed by 80% through AWS S3 + Lambda optimizations. Optimized SQL queries reducing API response time by 40%.
Jul 2019 - Jan 2022
Analyzed large datasets using Python, pandas, and SQL (PostgreSQL) supporting 10+ business strategies. Built dashboards with Power BI, Matplotlib, and Seaborn improving visibility into key metrics. Automated reconciliation processes reducing manual errors by 40% and ensuring 99.9% accuracy in CI/CD environments.
SCU Frugal Innovation Hub | Jan 2025 - Jun 2025
Flutter application with 10+ interactive modules for currency learning and multilingual education. Built 4 quiz engines with drag-and-drop functionality, real-time feedback, and responsive UI. Designed modular microservices architecture with REST APIs and cloud integration for scalable applications.
Machine Learning Project | Feb 2025 - Apr 2025
Deep learning model using LeNet architecture to classify 43 traffic signs from the GTSRB dataset. Preprocessed 50K+ images with advanced techniques including grayscale conversion and dropout for improved accuracy. Applied Agile methodology with Git/GitHub for collaborative development.
AI/Healthcare Project | Aug 2021 - Nov 2021
Achieved 99.44% accuracy in brain tumor detection using 2D CNN on MRI scans with Python and TensorFlow. Enhanced image preprocessing and segmentation pipelines, reducing diagnostic processing time by 30%. Demonstrated structured ML evaluation workflows and reproducible metrics validation.
Hitachi Vantara | Jan 2022 - Jun 2023
Led 10+ TB enterprise data migration project with secure backend APIs and scalable microservices. Automated ChainSys workflows cutting manual input by 80%. Built custom Oracle Forms and reports enhancing workflow efficiency by 30% across 5+ teams.
Multi-Client Analytics | Jul 2019 - Jan 2022
Built comprehensive dashboards using Power BI, Tableau, Matplotlib, and Seaborn improving visibility into 5+ key business metrics. Automated reconciliation processes reducing manual errors by 40% and integrated APIs ensuring 99.9% accuracy in production environments.
Santa Clara University | Feb 2024 - Sep 2024
Built distributed monitoring systems with customized Linux kernels and multi-kernel deployments. Developed loadable kernel modules for TCP packet detection and network interface reporting. Benchmarked TCP congestion control algorithms with automated Python visualizations.