Architected, designed, implemented, tested, and delivered highly scalable Data Products, involving the development of over 10+ REST APIs in NodeJS, Express, multiple UI components using ReactJS and Material UI, and optimization of business flowsBuilt multipart file uploads and compression harnessing Apache Parquet, subsequently storing the outcomes in AWS S3, AWS Lambda using Boto3 Library and developed 10+ Rest API leveraging Python, Flask, and MongoDB, reducing data storage costs by 13%Engineered a multi-container setup for various products using Docker and Docker Compose, and seamless CI/CD pipeline using AWS ECS, AWS ECR, AWS CodePipeline which resulted in flawless application deployment on AWS

Executed concurrent URL scraping in Python with Beautiful Soup and Multiprocessing, leading to a 48% API latency reduction, Integrated a user feedback loop to refine benchmarks enabling precise performance assessments, and ongoing optimizationLeveraged natural language processing (NLP) libraries such as NLTK, spaCy, keyBERT to generate vector embeddings and implemented cosine similarity to compare them against predefined benchmarks, enhancing sales forecasting accuracy by 85%Collaborated on the LAMP architecture within the company, proficiently crafting complex MySQL and MSSQL queries to generate reports from the available data. Effectively utilized Chart.js to visually present the resultsCoordinated with a senior manager to deliver a compelling project overview at the NY MTA head office. Represented the company at an International Trade show in New Orleans, showcasing the project's web interface through live presentations

Spearheaded the development of fleet management software, focusing on enhancing performance and scalability to support a fleet of over 5,000 vehicles. Utilized AWS Lambda for efficient compute resource management, reducing operating cost by 30%Improved user satisfaction by collaborating closely with UX teams to gather requirements and implement responsive and user-friendly interfaces using Figma, React, Redux, and Material UI resulting in a 20% increase in user adoptionEnhanced data security and provided customized access to vehicle documents by using AWS SDK to generate presigned S3 URLs, ensuring secure, temporary access to sensitive data, streamlining document retrieval without exposing the storage architectureBuilt a payroll management system using a microservices architecture with Spring Boot, incorporating the choreography design pattern via Kafka to manage decentralized message flows among 10+ REST endpoints. The innovation led to a reduction of over 500+ man-hours annually by automating payroll processes and streamlining data management. Coded unit and integration tests with 95% branch and statement coverage, ensuring comprehensive testing of the application.Collaborated cross-functionally with the finance department to design an optimal payroll management system, adhering to the standard software development lifecycle and agile methodologies