Work Experience

• Senior Software Engineer, Lab Informatics

  Apr, 2024 - Present

  Senior Software Engineer spearheading API development, system integrations, and data migration initiatives for enterprise platforms. Architected and implemented scalable solutions serving 500+ users, achieving 40% system performance improvement and 60% reduction in manual processes.

  • Architected and implemented RESTful API services and microservices architecture, reducing integration time by 50% and enabling real-time data exchange for 15+ external systems

  • Designed secure authentication framework with JWT token management, OAuth2, and timestamp validation, achieving 99.9% API security compliance and zero security breaches

  • Optimized application performance through Redis caching strategies and database query optimization, improving response times by 65% and supporting 10,000+ concurrent requests

  • Led data migration project for 2M+ records using custom ETL pipelines and Apache Kafka streaming, achieving 99.5% data accuracy and reducing migration time from 6 weeks to 2 weeks

  • Developed 25+ custom data validation services with comprehensive error handling, streamlining import processes and reducing validation errors by 80%

  • Implemented workflow automation system using Docker containers and Kubernetes orchestration, automating 200+ business processes and increasing operational efficiency by 35%

  • Integrated 50+ external services via TCP/HTTP protocols with real-time data streaming, eliminating manual data entry for 85% of operations and reducing human errors by 70%

  • Built custom calculation engines using JavaScript and Python, supporting 150+ analytical methods and ensuring ±0.1% calculation accuracy across all operations

• Software Engineer Lead, Capgemini

  Oct, 2023 - Mar, 20245 months

  Technical Lead responsible for full-stack application development and team mentoring for enterprise software solutions. Managed development lifecycle and delivery for 10,000+ user applications across multiple client environments.

  • Developed and deployed microservices-based applications using Docker and Kubernetes, maintaining 99.5% uptime and processing 200+ daily transactions with <2 hour resolution time

  • Conducted technical training sessions for 15+ developers on software engineering best practices, resulting in 40% improvement in code quality metrics and 30% reduction in production bugs

  • Implemented automated monitoring and CI/CD pipelines using Jenkins and GitHub Actions, reducing system downtime by 45% and enabling proactive issue identification

  • Collaborated with cross-functional teams to deliver 8 major feature releases, improving user satisfaction scores by 25% and reducing support requests by 35%

• Software Engineer, Cognizant Technology Solutions

  Sep, 2018 - Oct, 20235 years 1 month

  Full-stack software engineer developing enterprise applications for global clients. Collaborated with 24-member agile team to deliver high-impact solutions, processing 500K+ transactions annually across 50+ client sites worldwide.

  • Developed and deployed 30+ enterprise applications using .NET, JavaScript, and Oracle SQL, supporting 50,000+ annual transactions and reducing processing time by 45%

  • Built scalable RESTful APIs and microservices architecture for enterprise integrations, handling 1M+ API calls monthly with 99.8% uptime and <200ms response time

  • Automated report generation system processing 5,000+ reports daily using custom libraries and Apache Kafka streaming, reducing manual effort by 80% and improving accuracy by 95%

  • Led cloud migration initiative from on-premise to AWS using Docker containerization, reducing infrastructure costs by 30% and improving availability to 99.9% uptime

  • Designed and implemented configuration management tools synchronizing 500+ application settings across dev/test/prod environments, reducing deployment errors by 90%

  • Developed automated document processing tools using Python and machine learning, processing 10,000+ documents monthly and reducing processing time from 8 hours to 30 minutes

  • Optimized database performance through index tuning and query optimization, improving response time by 60% and supporting 3x increase in concurrent users

  • Mentored 5 junior developers and conducted code reviews for 200+ pull requests, maintaining quality standards and reducing post-deployment defects by 50%

Projects Experience

• Enterprise Blog Platform - WordSkill, Personal

  Dec, 2019 - Feb, 20202 months

  Full-stack blog application built with Django framework and PostgreSQL, deployed on Heroku with AWS S3 integration. Handles 10,000+ monthly active users with 99.5% uptime and containerized using Docker.

  • Implemented responsive design supporting 50+ concurrent users with real-time notifications

  • Optimized database queries and implemented Redis caching, reducing page load time by 60%

  • Integrated AWS S3 and CloudFront CDN for scalable media storage handling 1GB+ daily uploads

• Blockchain Supply Chain Tracking System, Personal

  Jan, 2022 - 2022-06-31

  Decentralized application for supply chain tracking using Ethereum blockchain, Truffle framework, and React.js. Processes 500+ daily transactions with complete traceability and deployed using Docker containers.

  • Developed smart contracts handling $100K+ in tracked inventory value with gas optimization

  • Implemented comprehensive test suite with 20+ unit test cases achieving 95% code coverage

  • Deployed on Rinkeby testnet with 99.8% transaction success rate using CI/CD pipelines

• IoT Data Processing System, Innovation Project

  Mar, 2020 - Jun, 20204 months

  Award-winning IoT-enabled data processing solution serving as middleware for real-time analytics. Handles 1,000+ daily transactions with Kafka streaming and Kubernetes orchestration for high availability.

  • Achieved 2nd place in Global Innovation Challenge among 500+ submissions

  • Reduced data processing time by 40% through Apache Kafka streaming and microservices architecture

  • Implemented Redis caching and Kubernetes auto-scaling, improving system response time by 70%

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