Available to hire
Hi, I’m Komal Sai Gorantla, a Software Engineer with over three years of experience creating scalable and efficient software solutions. I thrive in agile environments and enjoy collaborating with cross-functional teams to deliver high-quality products that improve user satisfaction and business outcomes. My passion lies in optimizing system performance and streamlining deployment processes to make technology work smarter.
Throughout my career, I’ve worked extensively with microservices, cloud platforms like AWS and Azure, and modern development tools and frameworks. I take pride in my ability to meet deadlines consistently while enhancing development workflows and maintaining a high standard of code quality. I’m always excited to tackle new challenges and contribute positively to my team’s success.
Skills
Experience Level
Language
English
Fluent
Hindi
Advanced
Javanese
Advanced
Work Experience
Software Engineer at Data Warehouse Labs
October 1, 2024 - PresentSpearheaded the redesign of a distributed microservices architecture using Java Spring Boot, resulting in a 30% increase in data ingestion and processing throughput, supporting over 1 million daily financial transactions with enhanced reliability. Designed and optimized scalable RESTful APIs integrated with React.js fronends, reducing API response times by 25% and improving user retention. Automated CI/CD pipelines with Docker, Kubernetes, and GitHub Actions on AWS, achieving 40% faster deployment cycles and 99.9% uptime SLA. Transitioned ETL batch jobs to AWS Lambda and Step Functions, cutting infrastructure costs by 20%. Developed comprehensive test suites with JUnit, Mockito, and Selenium WebDriver to attain over 95% code coverage and reduce regression defects by 35%. Collaborated with Agile teams in sprint planning and reviews, increasing sprint velocity by 15%.
Software Engineer at Data Warehouse Labs
October 1, 2024 - PresentSpearheaded the redesign of a distributed microservices architecture using Java Spring Boot, resulting in a 30% increase in data ingestion and processing throughput, supporting over 1 million daily financial transactions with enhanced reliability. Designed and optimized scalable RESTful APIs integrated with React.js frontends, reducing API response times by 25% and improving user experience. Automated CI/CD pipelines for containerized applications using Docker, Kubernetes, and GitHub Actions on AWS services, achieving 40% faster deployment cycles and 99.9% uptime SLA. Transitioned legacy ETL batch jobs to event-driven AWS Lambda functions and Step Functions, cutting infrastructure costs by 20% and enabling elastic scalability. Developed comprehensive test suites with JUnit, Mockito, and Selenium WebDriver, attaining over 95% code coverage and reducing regression defects by 35%. Collaborated with Agile cross-functional teams to increase sprint velocity by 15% and better align with stake
Software Engineer at Data Warehouse Labs
October 1, 2024 - PresentSpearheaded the redesign of a distributed microservices architecture using Java Spring Boot, increasing data ingestion and processing throughput by 30% and supporting over 1 million daily financial transactions with improved reliability. Designed and optimized scalable RESTful APIs integrated with React.js frontends, reducing response times by 25% and enhancing user experience, leading to higher platform adoption and retention. Automated CI/CD pipelines for containerized applications using Docker, Kubernetes, and GitHub Actions on AWS, achieving 40% faster deployments and 99.9% uptime SLA. Transitioned legacy ETL batch jobs to event-driven AWS Lambda and Step Functions, cutting infrastructure costs by 20% with elastic scalability. Developed extensive unit, integration, and UI tests using JUnit, Mockito, and Selenium WebDriver, reaching over 95% code coverage and reducing regression defects by 35%. Actively collaborated with Agile cross-functional teams, increasing sprint velocity by 15
Software Engineer at Data Warehouse Labs
October 1, 2024 - PresentSpearheaded the redesign of a distributed microservices architecture using Java Spring Boot, increasing data ingestion and processing throughput by 30% and supporting over 1M daily financial transactions. Designed scalable RESTful APIs integrated with React.js frontends that reduced response times by 25%, improving user experience and platform adoption. Automated CI/CD pipelines with Docker, Kubernetes, and GitHub Actions on AWS, achieving 40% faster deployments and maintaining 99.9% uptime SLA. Transitioned legacy ETL batch jobs to event-driven AWS Lambda functions and Step Functions, reducing infrastructure costs by 20% and providing scalable performance during high-traffic events. Developed comprehensive test suites with JUnit, Mockito, and Selenium WebDriver achieving over 95% code coverage and reducing regression defects by 35%. Collaborated in Agile teams leading to a 15% increase in sprint velocity and better stakeholder alignment.
Software Engineer at University of Texas at Arlington
May 31, 2024 - July 22, 2025Led full-stack development of web applications using Python frameworks (Flask, Django, FastAPI) and React.js, growing platform user base by 15%. Built and deployed machine learning models with Scikit-learn and TensorFlow to predict academic performance trends with over 85% accuracy. Created dynamic visualizations with Matplotlib and Seaborn, reducing data analysis time by 30%. Maintained cloud infrastructure on Azure App Services ensuring 99.9% uptime and optimized resource use. Actively engaged in Agile ceremonies contributing to a 10% increase in team productivity.
Software Engineer at University of Texas at Arlington
May 31, 2024 - July 22, 2025Led full-stack development of web applications using Python frameworks Flask, Django, FastAPI, and React.js, increasing the platform user base by 15% through improved UI/UX and faster performance. Built and deployed machine learning models with Scikit-learn and TensorFlow predicting academic trends with over 85% accuracy, supporting strategic decision-making. Designed dynamic visualizations with Matplotlib and Seaborn, reducing data analysis time for non-technical stakeholders by 30%. Maintained application reliability on Azure App Services ensuring 99.9% uptime and optimized resource usage. Actively participated in Agile ceremonies and backlog grooming enhancing team productivity by 10%.
Software Engineer at University of Texas at Arlington
May 31, 2024 - July 9, 2025Led full-stack development of web applications using Python frameworks (Flask, Django, FastAPI) and React.js, boosting platform user base by 15% with improved UI/UX and faster load times. Built and deployed machine learning models with Scikit-learn and TensorFlow that predicted academic performance trends with over 85% accuracy, supporting strategic decisions. Created dynamic visualizations with Matplotlib and Seaborn, reducing data analysis time by 30% for non-technical stakeholders. Maintained cloud infrastructure on Azure App Services ensuring 99.9% uptime and optimized resource usage. Participated in Agile ceremonies and backlog grooming to improve team productivity by 10%.
Software Engineer at University of Texas at Arlington
May 31, 2024 - July 9, 2025Led full-stack development of web applications using Python frameworks (Flask, Django, FastAPI) and React.js, increasing platform user base by 15% through improved UI/UX and faster load times. Built and deployed machine learning models with Scikit-learn and TensorFlow achieving 85%+ accuracy to predict academic performance trends aiding strategic decisions. Created dynamic visualizations with Matplotlib and Seaborn, reducing data analysis time by 30% for non-technical stakeholders. Maintained Azure App Services based cloud infrastructure ensuring 99.9% uptime and efficient resource use. Actively participated in Agile ceremonies and backlog grooming, contributing to a 10% increase in team productivity.
Software Engineer at Tiger Analytics
June 30, 2022 - July 22, 2025Automated end-to-end predictive analytics workflows using TensorFlow and Keras, reducing client decision latency by 20%. Optimized complex ETL processes and SQL queries in PostgreSQL and MongoDB, enhancing data warehouse efficiency and accelerating reporting by 25%. Developed scalable Java EE applications with Spring MVC, Hibernate, and JSP on Apache Tomcat, improving system uptime by 30%. Implemented responsive front-end interfaces with HTML5, CSS3, Bootstrap, and JavaScript, boosting user engagement by 15%. Collaborated in Agile teams using Git, Jira, and Trello to achieve 100% on-time delivery across 12+ sprints. Conducted code reviews and unit testing with JUnit, reducing bugs by 30%. Assisted database schema redesign to decrease query times by 18%.
Software Engineer at Tiger Analytics
June 30, 2022 - July 22, 2025Automated end-to-end predictive analytics workflows with TensorFlow and Keras, reducing client decision-making latency by 20%. Optimized complex ETL processes and SQL queries in PostgreSQL and MongoDB, improving warehouse efficiency and accelerating reporting by 25%. Developed scalable Java EE applications using Spring MVC, Hibernate, and JSP deployed on Apache Tomcat, increasing system uptime and reliability by 30%. Created responsive front-end interfaces with HTML5, CSS3, Bootstrap, and JavaScript, improving user engagement by 15%. Collaborated in Agile teams with Git, Jira, and Trello to achieve 100% on-time delivery across 12+ sprints. Conducted code reviews and testing with JUnit, reducing bugs by 30%. Assisted in database schema redesign and indexing, decreasing query response times by 18%.
Software Engineer at Tiger Analytics
June 30, 2022 - July 9, 2025Automated end-to-end predictive analytics workflows by designing and deploying machine learning pipelines using TensorFlow and Keras, reducing decision-making latency by 20%. Optimized ETL processes and SQL queries in PostgreSQL and MongoDB, improving data warehouse efficiency and accelerating reports by 25%. Developed scalable Java EE applications using Spring MVC, Hibernate, and JSP deployed on Apache Tomcat, increasing system uptime and reliability by 30%. Implemented responsive front-end interfaces with HTML5, CSS3, Bootstrap, and JavaScript, enhancing user engagement by 15%. Collaborated in Agile teams using Git, Jira, and Trello, ensuring 100% on-time delivery across more than 12 sprints. Conducted code reviews and unit testing with JUnit, improving code quality and reducing bugs by 30%. Assisted in database schema redesign and indexing, cutting query response times by 18%.
Software Engineer at Tiger Analytics
June 30, 2022 - July 9, 2025Automated predictive analytics workflows by designing and deploying machine learning pipelines with TensorFlow and Keras, reducing decision-making latency by 20%. Optimized ETL processes and SQL queries in PostgreSQL and MongoDB to improve data warehouse efficiency and accelerate report generation by 25%. Developed scalable Java EE applications using Spring MVC, Hibernate, and JSP deployed on Apache Tomcat, increasing system uptime by 30%. Created responsive, accessible front-end interfaces with HTML5, CSS3, Bootstrap, and JavaScript enhancing user engagement by 15%. Collaborated in Agile teams using Git, Jira, and Trello and achieved 100% on-time delivery across more than 12 sprints. Conducted code reviews and unit testing with JUnit reducing bugs by 30%. Assisted in database schema redesign and indexing strategies decreasing query response times by 18%.
Education
Master of Science at University of Texas at Arlington
January 1, 2023 - May 31, 2024Bachelor of Technology at R.M.D Engineering College
January 1, 2018 - April 30, 2022Master of Science at University of Texas at Arlington
August 1, 2021 - May 31, 2024Bachelor of Technology at R.M.D Engineering College
April 1, 2018 - April 30, 2022Master of Science at University of Texas at Arlington
January 1, 2023 - May 31, 2024Bachelor of Technology at R.M.D Engineering College
January 1, 2018 - April 30, 2022Master of Science at University of Texas at Arlington
August 1, 2022 - May 31, 2024Bachelor of Technology at R.M.D Engineering College
January 1, 2018 - April 30, 2022Qualifications
Industry Experience
Software & Internet, Financial Services, Education, Professional Services
Skills
Experience Level
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