
Full-stack Developer with 7+ years of experience delivering scalable, secure web applications and design systems across banking, fintech, retail, and healthcare domains.
· Delivered enterprise web platforms that increased customer adoption by 25% and improved end-user satisfaction scores across multiple domains.
· Built responsive frontends with React, Vue, and Angular, integrated with backend services in Java, Python, and Node.js, streamlining workflows and reducing processing errors by 15%.
· Applied modular front-end architectures and event-driven designs, cutting feature rollout times by 20% and improving release predictability across teams.
· Designed data visualization dashboards that enabled faster fraud analysis, helping compliance teams lower investigation time by 35%.
· Strengthened systems with authentication and compliance features that passed audits with zero major findings across PCI DSS and HIPAA reviews.
· Optimized application performance with bundle tuning, CDN caching, and query improvements, reducing latency by up to 30% during peak loads.
· Automated deployments with CI/CD pipelines that accelerated delivery speed by 4x, reducing manual intervention and rollback incidents.
· Closed accessibility gaps through structured audits and UI enhancements, improving compliance scores by 20% and expanding usability for all users.
· Introduced monitoring and observability frameworks that reduced incident detection time by 45%, improving system reliability and uptime.
· Mentored engineers on secure coding and performance best practices, raising code quality metrics by 35% across distributed teams.
· Mentored engineers through code reviews, performance debugging, and accessibility/security workshops, raising overall delivery predictability and improving code quality metrics by 40%.
· Designed customer self-service portals using React.js, TypeScript, Node.js, and Python microservices on AWS (ECS, Lambda, S3), serving 5M+ cardholders and improving usability scores by 30% across desktop and mobile.
· Delivered accessibility-first dashboards with WCAG 2.1 compliance and ARIA roles, embedding automated Lighthouse checks in pipelines, which reduced audit defects by 25% and passed two consecutive banking compliance reviews.
· Adopted a Micro Front End framework to decouple payments, rewards, and fraud modules; coordinated through Git branching and Jira epics, this reduced cross-team release dependencies by 20% and improved delivery predictability.
· Built GraphQL and RESTful APIs in Spring Boot and Node.js to connect with VisaNet and third-party gateways, raising checkout success rates by 15% and supporting real-time transaction authorization flows during peak loads.
· Optimized backend data flows with PostgreSQL, MongoDB, and Kafka event streams, reducing processing latency by 28% and improving fraud anomaly detection accuracy across AML pipelines.
· Automated CI/CD pipelines with Jenkins, GitHub Actions, and Docker, deploying to AWS Kubernetes clusters; release cycles dropped from 3 hours to under 20 minutes while supporting zero-downtime rollouts.
· Engineered fraud detection dashboards with D3.js and React Charts, enabling compliance officers to detect suspicious activity 40% faster and lower false positives by 20%.
· Hardened settlement workflows with OAuth2/JWT and PCI DSS role-based access, enabling successful global security audits and strengthening cardholder data protection.
· Integrated Prometheus/Grafana monitoring with custom Python alert scripts, cutting mean-time-to-detection of transaction failures by 45% and providing real-time visibility for operations teams.
· Built a real-time transaction monitoring service on AWS Kinesis and DynamoDB, scaling to process 50K+ events per second during Black Friday peaks, which improved fraud response times by 32%.
· Deployed AWS Secrets Manager and IAM policies across payment APIs to eliminate hardcoded credentials, reducing security vulnerabilities and ensuring PCI DSS compliance across 12 global regions.
· Mentored junior engineers through structured code reviews and secure coding workshops, raising overall team delivery quality and cutting production issues by 40%.
· Delivered multi-tenant banking and retail dashboards using Vue.js, Angular, and TypeScript, enabling reuse across multiple clients and cutting delivery timelines by 35%.
· Translated wireframes into branded UI components with semantic HTML and ARIA roles, which improved accessibility compliance scores and reduced client-side audit issues by 20%.
· Developed Spring Boot APIs to support financial reporting features, ensuring real-time accuracy and improving reconciliation performance by 15%.
· Introduced Micro Front End structures across retail suites, allowing regional teams to ship localized features independently and reducing dependency bottlenecks by 20%.
· Built shared UI libraries with Vuex state handling and Git-based workflows, improving consistency across teams and reducing code duplication by 25%.
· Integrated Kafka-driven event messaging for retail order tracking and inventory updates, enabling near real-time dashboards and reducing manual reconciliation workload.
· Tuned Webpack build pipelines and bundle size optimizations, which cut global page load times by 28% and boosted SEO visibility scores.
· Rebuilt enterprise UIs with Bootstrap and custom theming, aligning applications with strict financial brand guidelines and raising usability ratings by 18%.
· Implemented secure API token handling and SSO with Azure Active Directory, reducing authentication errors during compliance audits by 22%.
· Established CI/CD pipelines with Azure DevOps and GitHub Actions, improving release predictability and cutting rollback incidents by 30%.
· Partnered with QA teams to design automated test suites in Selenium and Jasmine, which doubled regression coverage and reduced post-release defects by 30%.
· Assisted in data migration from on-prem SQL Server to Azure SQL and Cosmos DB, reducing infrastructure costs and improving dashboard query speeds by 25%.
· Contributed to healthcare claim-tracking systems by coding UI modules in JavaScript (ES6), HTML5, and CSS3, enabling staff to process eligibility checks 25% faster across multiple hospital units.
· Built REST APIs in Spring Boot and Python to integrate Epic EHR systems with third-party insurance platforms, cutting claim processing delays by 30% and improving patient turnaround time.
· Designed and optimized SQL schemas and queries in MySQL/PostgreSQL, which reduced database errors during peak loads and improved medical record retrieval speeds by 40%.
· Collaborated with compliance officers to embed HIPAA audit-trail logging into Epic-linked portals, improving regulatory review scores and ensuring patient data security.
· Assisted in setting up CI/CD pipelines in Jenkins for compliance-driven deployments, gaining early exposure to automation and ensuring predictable release cycles.
· Wrote and executed JUnit and integration tests for Epic workflows, stabilizing patient record modules and reducing audit-driven downtime by 25%.
· Participated in the migration of legacy claim adjudication systems to modular Java/React applications, improving maintainability and cutting downtime during upgrades.
· Coordinated with cross-functional teams to implement secure API authentication between Epic and insurance providers, reducing rejected claims and ensuring compliance.
· Developed Python-based data validation scripts to cross-check insurance claim records before Epic ingestion, lowering data mismatches by 18%.
· Documented healthcare workflows and created knowledge transfer guides for Epic modules, supporting smooth onboarding of new engineers and compliance auditors.
Languages & Scripting:JavaScript (ES6), TypeScript, HTML5, CSS3 (Flexbox/Grid), Java, Python, SQL, Bash/Shell
Frontend Frameworks & Libraries: Reactjs, Vuejs, Angular, Redux, Vuex, D3js, Bootstrap, jQuery
Backend & APIs: Nodejs, Spring Boot, Expressjs, RESTful APIs, GraphQL, OAuth2/JWT Authentication, SSO (Azure AD, Epic)
Architecture & Design: Micro Front Ends, Component Libraries, Responsive Layouts, Semantic HTML, Cross-browser/device compatibility
Cloud & DevOps: AWS (ECS, Lambda, DynamoDB, Kinesis, Secrets Manager), Microsoft Azure (App Service, AKS, Service Bus, Key Vault, Cosmos DB), Docker, Kubernetes, Jenkins, GitHub Actions, Azure DevOps, Git (branching/PR workflows)
Databases & Messaging: PostgreSQL, MySQL, MongoDB, SQL Server, Redis (caching/pub-sub), Kafka (event-driven messaging)
Testing & QA: Jest, Cypress, Selenium, Jasmine, Karma, JUnit, Integration & Regression Testing
Monitoring & Observability:Prometheus, Grafana, ELK Stack, AWS CloudWatch
Compliance & Standards: PCI DSS (Visa), HIPAA (Epic healthcare), Secure Coding Practices, Audit Trail Logging
Collaboration & Practices:Agile/Scrum, Jira, Git Workflows (branching, pull/merge), Code Reviews, Mentorship & Knowledge Transfer
Serverless Inventory Tracker
Tech Stack: AWS Lambda, API Gateway, DynamoDB, Python, AWS SAM
Description: Built a fully serverless backend using AWS Lambda, API Gateway, and DynamoDB to deliver scalable, event-driven inventory management. Architected stateless functions for CRUD operations and deployed infrastructure with AWS SAM, enabling fast provisioning, cost-efficiency, and CI-friendly development workflows.
Gesture Recognition using Computer vision
Tech Stack: OpenCV, Mediapipe, TensorFlow, Python, HTML, CSS
Description: Developed a computer vision application that detects and interprets hand gestures in real-time using OpenCV and Mediapipe. Implemented gesture-based controls to perform arithmetic operations on a virtual calculator via webcam input. Built a responsive web interface to display live results, enabling natural, touch-free interaction. Designed and integrated a backend with Flask for processing and a front-end UI with HTML/CSS for seamless user experience.
Network Traffic Analysis using Apache Spark
Tech Stack: Apache Spark, Apache Kafka, Wireshark, Python, Dashboards (Visualization)
Description: Designed and implemented a real-time network traffic monitoring system to detect malicious activities and protect against cyberattacks. Leveraged Wireshark for live packet capture, Apache Kafka for streaming data pipelines, and Apache Spark for distribution, near real-time traffic analysis. Built dashboards to visualize protocol usage, IP patterns, and suspicious activity, triggering alerts when blacklisted or insecure endpoints were detected. Enabled scalable, fault-tolerant processing of high-volume network data with low latency for proactive security response.
University Event Management System (UEMS)
Tech Stack: PHP, MySQL, JavaScript, HTML/CSS, Docker, XAMPP, CircleCI, Jasmine, JUnit Description: Built a full‑stack web application that streamlines university event planning, from creation and approval to registrations and attendance. Implemented role‑based access for admins/organizers/students, event catalogs with search/filtering, registration workflows, file/image uploads, and email/notification hooks. Containerized the app with Docker and provided a local XAMPP setup for quick onboarding. Added automated tests (Jasmine/JUnit) and CI via CircleCI to maintain code quality and enable reliable, repeatable deployments.