Available to hire
I am a results-oriented Full Stack Developer with over 4 years of experience crafting scalable, high-performance software solutions. I specialize in Python, Java, Spring Boot, React.js, and AWS, and I am passionate about building cloud-native applications, microservices, and intelligent automation systems across sectors like finance, healthcare, and enterprise systems. I thrive in environments that challenge my backend optimization skills and distributed system design expertise.
My hands-on experience includes deploying AI/ML models in production to drive intelligent and predictive features, mentoring teams on Agile and CI/CD best practices, and always focusing on delivering secure, maintainable software that aligns perfectly with business goals. I enjoy collaborating across functions and continuously improving team productivity and software quality.
Skills
Experience Level
Language
English
Fluent
Work Experience
Full Stack Developer at Oracle Corporation
June 1, 2024 - PresentDeveloped scalable enterprise applications using React.js, Spring Boot, and Python, optimizing workflows and improving reliability across financial platforms accessed by over 50,000 users. Built distributed microservices with Python, Java, and AWS Lambda, enhancing scalability and reducing transaction processing latency by over 30% in real-time data pipelines. Designed, trained, and deployed machine learning models for anomaly detection, improving fraud detection accuracy by 18%. Integrated SageMaker endpoints for real-time inference with secure APIs enabling low-latency risk-based decisioning. Automated batch processing with Python ETL pipelines, reducing data refresh intervals by 40%. Improved caching and query response times using Redis and ElastiCache, achieving a 60% decrease in latency. Built secure GraphQL and REST APIs with JWT and OAuth2.0. Mentored junior developers on AI integration and Agile delivery, increasing team performance. Implemented CI/CD pipelines using GitHub Act
Full Stack Developer at IBM Corporation
August 31, 2022 - July 30, 2025Refactored monolithic systems into microservices using Python, Spring Boot, and Docker, reducing downtime and enabling horizontal scalability for healthcare software used by hospitals. Designed and deployed predictive analytics engine reducing patient readmissions by 20%. Created Python NLP pipelines to extract clinical terms, improving claims processing accuracy. Developed interactive dashboards using React.js and Chart.js for real-time operations visibility reducing incident response time by 30%. Deployed GitLab CI/CD pipelines with security scans and auto-rollbacks, reducing critical bugs in production by over 70%. Wrote backend Python scripts for error log analysis and automated notifications improving system reliability. Collaborated in Agile sprints delivering AI features and fixes with high test coverage using PyTest. Conducted workshops training developers on ML workflows and containerized ML service deployment.
Full Stack Developer at Oracle Corporation
June 1, 2024 - PresentDeveloped scalable enterprise applications using React.js, Spring Boot, and Python, optimizing workflows and improving reliability across financial platforms accessed by over 50,000 users. Built distributed microservices with Python, Java, and AWS Lambda, enhancing scalability and reducing transaction processing latency by over 30% in real-time data pipelines. Designed, trained, and deployed machine learning models using Scikit-learn and Pandas for anomaly detection, improving fraud detection accuracy by 18%. Integrated SageMaker endpoints for real-time inference via secure APIs. Automated batch analytics pipelines reducing data refresh intervals by 40%. Enhanced caching and query response times using Redis and ElastiCache, lowering latency by 60%. Built GraphQL and REST APIs with JWT and OAuth2.0 for security compliance. Mentored junior developers and implemented CI/CD pipelines with GitHub Actions and Jenkins, reducing deployment-related outages by over 50%.
Full Stack Developer at IBM Corporation
August 31, 2022 - July 30, 2025Refactored monolithic systems into microservices with Python, Spring Boot, and Docker, reducing downtime for healthcare software used by hospitals. Designed and deployed predictive analytics using Scikit-learn and MLflow, lowering hospital readmission rates by 20%. Created NLP pipelines extracting clinical terms, improved claims accuracy, and reduced manual tagging. Developed React.js dashboards for real-time operational visibility, reducing incident response time by 30%. Deployed GitLab CI/CD with security scans and auto-rollbacks, cutting critical bugs by over 70%. Automated error log analysis and anomaly notifications, decreasing downtime. Collaborated with QA and product teams using Agile, delivering AI features with high test coverage. Conducted internal workshops on ML workflows and deploying ML services in containerized environments.
Full Stack Developer at Oracle Corporation
June 1, 2024 - PresentDeveloped scalable enterprise applications using React.js, Spring Boot, and Python, optimizing workflows and improving reliability across financial platforms accessed by over 50,000 users. Built distributed microservices with Python, Java, and AWS Lambda, which enhanced scalability and reduced transaction processing latency by over 30% in real-time data pipelines. Designed, trained, and deployed machine learning models for anomaly detection in financial transactions, improving fraud detection accuracy by 18%. Integrated SageMaker endpoints for real-time inference and wrapped prediction logic in secure APIs, enabling risk-based decisioning with low latency and high availability. Automated batch processing by building Python ETL pipelines, reducing data refresh intervals by 40% and increasing dashboard accuracy. Improved caching and query response times with Redis and ElastiCache, decreasing latency by 60%. Built GraphQL and REST APIs with JWT and OAuth2.0, enhancing security and simplif
Full Stack Developer at IBM Corporation
August 31, 2022 - July 30, 2025Refactored monolithic systems into microservices using Python, Spring Boot, and Docker, reducing downtime and enabling horizontal scalability in healthcare software used by hospitals. Designed and deployed a predictive analytics engine which forecasted patient readmission rates, reducing unnecessary hospital stays by 20%. Created NLP pipelines to extract clinical terms from medical forms, reducing manual tagging and improving claims processing accuracy. Developed interactive dashboards using React.js and Chart.js, enabling real-time visibility and reducing incident response time by 30%. Deployed GitLab CI/CD pipelines with security scans and auto-rollbacks, reducing critical bugs in production by over 70% and accelerating release frequency. Wrote backend Python scripts for error analysis and automated notifications, decreasing system downtime. Collaborated in Agile sprints delivering prioritized AI features and bug fixes with high test coverage. Conducted internal workshops to train de
Full Stack Developer at Oracle Corporation
June 1, 2024 - PresentDeveloped scalable enterprise applications using React.js, Spring Boot, and Python, optimizing workflows and improving reliability across financial platforms accessed by over 50,000 users. Built distributed microservices with Python, Java, and AWS Lambda, enhancing scalability and reducing transaction processing latency by over 30% in real-time data pipelines. Designed, trained, and deployed machine learning models for anomaly detection in financial transactions, improving fraud detection accuracy by 18%. Integrated SageMaker endpoints for real-time inference and wrapped prediction logic in secure APIs, enabling risk-based decisioning with low latency and high availability. Automated batch processing for analytics reducing data refresh intervals by 40%. Improved caching and query response times using Redis and ElastiCache, achieving a 60% decrease in latency. Built GraphQL and REST APIs with JWT and OAuth2.0, enhancing security compliance. Mentored four junior developers, increasing te
Full Stack Developer at IBM Corporation
August 31, 2022 - July 30, 2025Refactored monolithic systems into microservices using Python, Spring Boot, and Docker, reducing downtime and enabling horizontal scalability for key healthcare software used by hospitals. Designed and deployed a predictive analytics engine using Scikit-learn and MLflow, reducing unnecessary hospital stays by 20%. Created Python NLP pipelines to extract clinical terms, reducing manual tagging and improving claims processing accuracy. Developed interactive dashboards using React.js and Chart.js, reducing incident response time by 30%. Deployed GitLab CI/CD pipelines with embedded security scans and auto-rollbacks, reducing critical bugs in production by over 70%. Wrote backend Python scripts for error log analysis and automated notifications, improving system uptime. Collaborated with QA and product teams in Agile sprints delivering AI features with high test coverage using PyTest. Conducted workshops to train developers on ML workflows and model deployment.
Full Stack Developer at Oracle Corporation
June 1, 2024 - PresentDeveloped scalable enterprise applications using React.js, Spring Boot, and Python, optimizing workflows and improving reliability across financial platforms accessed by over 50,000 users. Built distributed microservices with Python, Java, and AWS Lambda, enhancing scalability and reducing transaction processing latency by over 30%. Designed, trained, and deployed machine learning models for anomaly detection in financial transactions, improving fraud detection accuracy by 18%. Integrated SageMaker endpoints for real-time inference and wrapped prediction logic in secure APIs. Automated batch processing with Python ETL pipelines, reducing data refresh intervals and increasing dashboard accuracy. Improved caching and query response times using Redis and ElastiCache, reducing latency by 60%. Built GraphQL and REST APIs with JWT and OAuth2.0, enhancing security compliance. Mentored junior developers on AI integration, code quality, and Agile delivery. Implemented CI/CD pipelines using GitH
Full Stack Developer at IBM Corporation
August 31, 2022 - July 30, 2025Refactored monolithic systems into microservices using Python, Spring Boot, and Docker, reducing downtime and enabling horizontal scalability for healthcare software. Designed and deployed a predictive analytics engine, helping forecast patient readmission rates and reducing unnecessary hospital stays by 20%. Created Python NLP pipelines to extract clinical terms from medical forms, improving accuracy in claims processing. Developed interactive dashboards with React.js and Chart.js, enabling real-time visibility and reducing incident response time by 30%. Deployed GitLab CI/CD pipelines with security scans and auto-rollbacks, reducing critical bugs by over 70% and accelerating release frequency. Wrote backend Python scripts for error log analysis and automated notifications. Collaborated with QA and product teams in Agile sprints. Conducted internal workshops training developers on ML workflows and model deployment in containerized environments.
Full Stack Developer at Oracle Corporation
June 1, 2024 - PresentAt Oracle Corporation, I developed scalable enterprise applications using React.js, Spring Boot, and Python, enhancing workflows and reliability for financial platforms used by over 50,000 users. I built distributed microservices with Python, Java, and AWS Lambda which improved scalability and reduced transaction latency by over 30%. Additionally, I designed and deployed ML models for fraud detection improving accuracy by 18%, integrated SageMaker for low latency inference, automated batch processing with Python ETL pipelines, and optimized caching strategies achieving a 60% latency reduction. I implemented secure GraphQL and REST APIs, mentored junior developers, and established CI/CD pipelines that cut deployment outages by more than half.
Full Stack Developer at IBM Corporation
August 1, 2022 - August 4, 2025At IBM Corporation, I refactored monolithic healthcare systems into scalable microservices using Python, Spring Boot, and Docker, significantly reducing downtime. I developed a predictive analytics engine forecasting patient readmission rates, cutting unnecessary hospital stays by 20%, and created NLP pipelines for clinical term extraction which improved claims processing accuracy. I built interactive React.js dashboards connected to backend APIs, deployed GitLab CI/CD pipelines with security features reducing critical bugs by over 70%, and wrote Python scripts to monitor system errors, reducing downtime. I collaborated with QA and product teams in Agile sprints and conducted ML workflow workshops to upskill developers.
Education
Master of Science at University of Texas, Arlington USA
January 1, 2022 - May 31, 2024Bachelor of Computer Engineering at Gujarat Technological University India
January 1, 2018 - May 31, 2022Master of Science at University of Texas, Arlington USA
January 1, 2022 - May 31, 2024Bachelor at Gujarat Technological University India
January 1, 2018 - May 31, 2022Master of Science at University of Texas, Arlington USA
January 1, 2022 - May 31, 2024Bachelor of Computer Engineering at Gujarat Technological University India
January 1, 2018 - May 31, 2022Master of Science at University of Texas, Arlington USA
January 1, 2022 - May 31, 2024Bachelor of Computer Engineering at Gujarat Technological University India
January 1, 2018 - May 31, 2022Master of Science at University of Texas, Arlington USA
January 1, 2022 - May 31, 2024Bachelor of Computer Engineering at Gujarat Technological University India
January 1, 2018 - May 31, 2022Master of Science in Computer Science at University of Texas, Arlington
January 11, 2030 - May 1, 2024Bachelor of Computer Engineering at Gujarat Technological University
January 11, 2030 - May 1, 2022Qualifications
Industry Experience
Financial Services, Healthcare, Software & Internet
Skills
Experience Level
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