Angad Gosain

Full Stack Developer at Capital One

Developed a real-time financial monitoring dashboard with React.js, WebSockets, and FastAPI, reducing data processing latency by 30%. Refactored monolithic banking applications into microservices using Java Spring Boot and Node.js, improving scalability and reducing deployment times by 40%. Built a low-latency financial transaction processing engine handling over 1 million secure transactions per second. Designed an AI-driven fraud detection system using TensorFlow and Scikit-learn, reducing fraudulent transactions by 50%. Automated financial reporting and compliance monitoring with a Django tool, improving regulatory accuracy by 25%. Optimized large-scale financial data pipelines with Apache Spark on AWS RDS, cutting query times by 60%. Implemented cybersecurity measures using JWT, OAuth 2.0, and OWASP ZAP audits, reducing vulnerabilities by 80%. Supported a financial KPI assessment tool with Python, Pandas, and Plotly, cutting manual reporting time by 70%.

Software Engineer at Tata Consultancy Services

Increased application stability by 25% through development of over 10 backend services using Java and Spring Boot. Improved system modularity by 16% designing RESTful APIs and GraphQL endpoints in a microservices architecture. Accelerated query execution time by 30% using Redis caching and data indexing. Improved responsiveness by 30% by incorporating event-driven architecture with Kafka and RabbitMQ. Enhanced deployment workflows by 35% integrating GitLab CI/CD, Kubernetes, and Terraform. Reduced customer-reported issues by 50% through active participation in code reviews and sprint planning.

Software Engineer at Capital One

Refactored a monolithic banking system into Spring Boot/Node.js microservices achieving a 3× boost in concurrency. Collaborated on integrating ML-based fraud detection, reducing incidents by ~50%. Led development of a React-based real-time financial dashboard, cutting manual reporting time by 3–4 hours weekly. Tuned Apache Spark ETL jobs in AWS RDS pipelines leading to a 50% decrease in query latency. Implemented secure authentication with JWT, OAuth 2.0, and RBAC, improving compliance readiness by 75%. Spearheaded Prometheus and ELK Stack tooling to reduce incident detection and recovery times by around 3 hours. Mentored peers, raising test coverage from 60% to 85%+, increasing deployment confidence.

Software Engineer at Tata Consultancy Services

Maintained 10+ Java Spring Boot microservices improving system uptime by ~25%. Accelerated feature delivery by 2 sprint cycles through design of scalable RESTful APIs using SOA. Implemented Redis caching that reduced database latency from 120ms to 85ms to enhance user experience. Developed Apache Kafka asynchronous event pipelines boosting throughput by 30%. Reduced post-release bugs by 50%+ by facilitating Agile sprint planning, code reviews, and mentoring junior engineers.

Software Engineer at Capital One

Refactored a monolithic banking system into Spring Boot/Node.js-based microservices, increasing system concurrency by 3x. Collaborated with data science and security teams to integrate an ML-based fraud detection REST API (FastAPI), achieving ~50% reduction in fraud incidents over six months. Led development of a real-time React-based financial dashboard, reducing manual reporting time by 3–4 hours per week. Optimized AWS RDS analytics pipelines by tuning Apache Spark ETL jobs, halving average query latency. Implemented secure authentication with JWT, OAuth 2.0, and RBAC, boosting compliance readiness by 75%. Built observability tooling (Prometheus, ELK Stack) to shorten incident detection and recovery times by ~3 hours. Increased test coverage from 60% to 85%+ via mentoring and unit/integration tests (JUnit, Mockito).