Full Stack / AI Engineer with over 4+ years of experience delivering scalable web applications integrated with advanced AI capabilities. Expertise in developing end-to-end solutions using modern JavaScript frameworks and Python backend technologies.
Experience
2023 — Now
2023 — Now
New York, United States
• Designed and implemented AI-driven personalized financial recommendation systems, boosting user engagement by 30% through TensorFlow, Angular, and Spring Boot integration.
• Developed high-performance RESTful APIs handling 1M+ monthly requests with 99.9% uptime, compliant with strict financial data regulations.
• Architected containerized microservices using Docker and Kubernetes, cutting deployment errors by 35% and enabling rapid cloud scaling.
• Automated CI/CD pipelines using Jenkins and GitHub Actions, reducing deployment cycles by 50% and embedding security testing.
• Collaborated with data-science teams to optimize ML model-serving latency, improving real-time credit-risk decision speed by 20%.
• Integrated AI-powered NLP chatbots, boosting customer-support resolution efficiency by 25% while maintaining data-privacy standards.
• Implemented secure OAuth 2.0 and JWT-based authentication, ensuring full compliance with banking security mandates.
• Enhanced Angular dashboards with dynamic, interactive UI components, increasing financial-tool adoption by 18%.
• Maintained robust documentation, coding-standard adherence, and effective collaboration across global Citigroup teams.
2021 — 2022
2021 — 2022
India
• Architected and implemented full stack features for finance-related web apps using Angular and Java Spring Boot, enhancing transaction processing speed by 22%.
• Developed backend microservices facilitating data synchronization across services, improving reliability by 28%.
• Participated in AI-powered predictive analytics development to optimize financial risk assessments, leading to 15% accuracy improvements.
• Collaborated with cross-functional teams to integrate secure REST APIs, reducing client complaints by 12%.
• Automated regression testing via Selenium and Jenkins pipelines, reducing testing time by 40%.
• Improved database queries and indexing strategies for PostgreSQL, enhancing response times by 35%.
• Implemented comprehensive logging and monitoring solutions using ELK stack, leading to 24/7 system reliability.
• Led weekly code reviews and mentored junior developers, improving code quality scores by 27%.
• Created technical documentation supporting iterative Agile delivery cycles and client demos.
2020 — 2021
2020 — 2021
India
• Developed dynamic front-end modules for the company’s e-commerce platform using AngularJS and Java-based back-end services, enhancing UI responsiveness and user engagement.
• Implemented RESTful APIs using Spring Boot and integrated them with MySQL databases to enable secure product and order management.
• Optimized API response times by 20% through efficient query design and caching mechanisms.
• Collaborated with cross-functional teams for feature enhancements, bug fixes, and performance tuning, reducing production issues by 18%.
• Conducted unit and integration testing using JUnit and Postman to ensure high-quality code and reliable deployments.
• Managed version control and code reviews through Git, improving collaboration and code integrity across development cycles.
• Documented development workflows and APIs for future maintenance and onboarding efficiency.
• Explored AI-driven personalization concepts for enhancing product recommendations and user experience.
• Participated in sprint planning and client reviews to ensure timely delivery aligned with agile methodologies.
Education
San José State University
Master of Science - MS
Velagapudi Ramakrishna Siddhartha Engineering College