Currently working as a Full-Stack Developer contributing across the entire SDLC — from architecting backend systems to delivering responsive frontend interfaces. I led major refactoring initiatives and built scalable systems that improved performance, developer productivity, and user experience.

Key contributions included:

• Refactored large codebases in Java and Golang, using design patterns like Composite to improve modularity, reduce on-call incidents by 92%, and enable faster team onboarding.

• Built and deployed SPAs using Angular (4/6/8) and Node.js, creating intuitive, responsive interfaces and optimizing client-side validation with reactive and template-driven forms.

• Led ISO 8583 transaction feature delivery across a 4-person team, maintaining 80%+ sprint velocity and driving clear collaboration and unblock resolution.

• Developed RESTful services with Spring Boot, Node.js, and Express, integrating JWT-based auth via Spring Security, and containerized microservices deployed via Jenkins CI/CD on AWS.

• Designed custom Cassandra drivers (GOCQL) and KVStore abstractions for multi-service DB migration; engineered multi-region Cassandra clusters delivering <10ms latency.

• Enhanced system observability by integrating Prometheus metrics and Splunk dashboards, cutting incident response time by 70%.

• Boosted test coverage to 85% through automated suites using JUnit and Mockito, while reducing bugs by 40%.

• Improved logging infrastructure with a migration driver (Kenny → Dave), saving 200+ dev hours and streamlining observability.

• Integrated Kafka producers and consumers, handling message streaming from external APIs and processing within Spring Boot microservices.

• Contributed to frontend styling with HTML5, SCSS, Bootstrap, and optimized Angular apps for performance and scalability.

• Actively contributed to Agile ceremonies, mentored junior developers, and maintained high delivery quality across sprints.

Teaching Assistant for CIS 310 & CIS 365 & CIS 565

• Led instructional support for courses such as Business Data Visualization and Artificial Intelligence in Business, ensuring a holistic understanding for students.

• Orchestrated enriching, hands-on training sessions leveraging tools like Tableau, Excel, and SQL, thereby substantially enhancing the practical grasp and application among the student community.

• Played an instrumental role in partnering with Dr. Hina Arora to conceptualize and roll out a cutting-edge Data Science curriculum tailored for MBA students, with a keen emphasis on real-world Python applications.

• Collaborated with Dr. David Dobolyi (University of Colorado Boulder) to develop and engaged in an in-depth collaboration, focusing on the intricate dynamics between streamers and viewers on platforms like Twitch, providing valuable insights for future research.

• Pioneered the design and development of an advanced web scraper utilizing Playwright, and seamlessly integrated it with AWS. This robust solution consistently maintained a remarkable 95% uptime over a span of 3 months.

• Successfully rolled out several system enhancements, which culminated in an impressive 80% reduction in system troubleshooting and maintenance requirements, optimizing team efficiency.

• Methodically transformed and readied voluminous raw datasets from high-profile video games. This meticulous preparation has paved the way for comprehensive analyses that will shape the direction of subsequent research initiatives.

At Zeta, I worked on high-performance serverless platforms, building resilient backend systems and enhancing platform scalability, monitoring, and interoperability across microservices.

Key contributions:

• Customized Apache OpenWhisk to support 1,000+ parallel requests, and developed proprietary Golang services to improve reliability and predictability of serverless functions.

• Achieved 99.99% uptime through proactive monitoring using Grafana, Prometheus, and real-time Slack-based alerting; led to more stable production deployments.

• Integrated Kafka for intelligent rate limiting, reducing production incidents by 70% and optimizing system throughput.

• Built and scaled RESTful APIs and GraphQL services using Java (8–17), Spring Boot, Node.js, and Golang, enabling efficient front-end to back-end communication.

• Developed web UIs using AngularJS, JavaScript, jQuery, and HTML5, and supported cross-functional integration using XFW Framework.

• Designed and deployed a fully independent Golang microservice with OOP and design patterns, improving backend modularity and testability.

• Managed Kubernetes deployments with Helm charts, improving infrastructure resiliency and enabling smooth microservice scaling.

• Championed DevOps practices, cutting deployment time by 40% and fostering improved collaboration between development and operations teams.

• Led code quality initiatives through peer reviews, which reduced post-deployment bugs by 40% and encouraged a strong engineering culture.

• Collaborated with backend and frontend teams to enhance API interoperability, contributing to a 30% increase in system-wide integration efficiency.

At KredX, I led the design and development of enterprise-grade backend systems for financial applications, delivering scalable, reliable, and secure services across AWS cloud infrastructure.

Key contributions:

• Spearheaded the development of a unified communication platform using Java 11, Spring Boot, and MVC architecture, improving notification delivery efficiency and achieving 99% service reliability through template enforcement and rate-limiting.

• Designed and deployed elastic scaling solutions on AWS, reducing communication delays by 99% during peak traffic and enabling cost-efficient scaling.

• Built RESTful APIs and microservices using Spring Boot, Spring Security, and Hibernate, ensuring high performance and clean modular code across the platform.

• Enhanced observability using the ELK Stack (Elasticsearch, Logstash, Kibana) to reduce SLA breaches and improve system diagnostics and threat detection.

• Managed and scaled AWS infrastructure (EC2, S3, RDS), and configured Jenkins-based CI/CD pipelines for seamless deployments.

• Developed and versioned GraphQL APIs, improving frontend-backend contract flexibility and optimizing client-server communication.

• Engineered real-time financial transaction microservices, applying Java EE patterns (DAO, DTO, Service Locator), and optimized PostgreSQL databases for performance and integrity.

• Developed Angular 8 frontends and integrated RESTful endpoints, processing dynamic JSON responses for user-facing financial workflows.

• Created regression analysis models in Python to support financial forecasting, enhancing risk assessment accuracy in investment scenarios.

• Followed Agile and DevOps practices, improving delivery speed by 35%, and led cross-functional collaboration to ensure alignment between engineering and business outcomes.