ABOUT ME
Hello! I'm Saiteja Balapedha, a passionate software development engineer with over 5 years of experience crafting scalable and efficient solutions. My journey in tech has been both exciting and rewarding, working with languages like Python, Java, and.NET Frameworks, as well as modern JavaScript frameworks like ReactJS and Angular. At Astute360 Corp. and APSIS Technologies, I led projects that not only enhanced system performance but also significantly cut costs. I take pride in my ability to optimize resources and deliver impactful results.
I hold a Master’s degree in Computer and Information Science from Sacred Heart University and have earned certifications such as AWS Certified Solutions Architect and Google Professional Cloud Architect. These achievements underscore my commitment to staying ahead in the ever-evolving tech landscape. I thrive on solving complex challenges and love leveraging cloud technologies, machine learning, and Agile methodologies to build solutions that truly make a difference. I'm always eager to learn and grow, continuously expanding my skill set to bring innovative ideas to life.
Let's connect and explore opportunities to collaborate on exciting ventures together!
Introduction.
MY SKILLS
Tech Stack.
TECHNICAL LANGUAGES
TECHNOLOGIES AND FRAMEWORKS
At Astute360 Corp., I led transformative projects that enhanced system performance and significantly reduced operational costs. By migrating Hive and Presto jobs to AWS EMR and implementing automated systems, I drove over $50,000 in annual savings. My initiatives in cost optimization and resource management showcased my ability to deliver impactful results while leveraging advanced cloud technologies.
Experience
At APSIS Technologies, I excelled as a software engineer, focusing on migrating ML workflows to Native AWS, which boosted scalability and improved logging. I developed a batch workflow plugin that saved up to $66 million in human labeling costs by automating high-confidence record labeling. Additionally, I built a visualization tool for infrastructure alerts, significantly reducing the Mean Time to Resolution by modeling dependencies as a graph problem.
Experience
Astute360 Corp.
Houston, TX
APSIS Technologies
Bengaluru, INDIA
COMPANIES I WORKED
Experience.
Scalable ML Workflow Automation on AWS
I developed a scalable machine learning workflow automation system using AWS services like Step Functions, Batch, and Lambda. This project improved logging and troubleshooting while leveraging auto-scaling capabilities. Technologies included Python, Java, Kotlin, Docker, and Kubernetes.
Automated Labeling System for ML Experiments
I created a batch workflow plugin to automate the labeling of high-confidence records in ML experiments, significantly reducing human labeling costs. Using Python, TypeScript, TensorFlow, and AWS services, I integrated the plugin with existing ML pipelines and delivered a functional solution with comprehensive documentation.
Cost Optimization and Resource Management in Cloud Infrastructure
I implemented a cost optimization system for cloud infrastructure by identifying unused AWS resources and establishing management policies. This initiative, using AWS, MySQL, Kubernetes, and Docker, resulted in significant cost savings and efficient resource management.
Automated Reporting System for cloud services
I developed an automated reporting system to manage and optimize custom report generation in cloud services, reducing operational costs. The system tracked report usage, identifying and disabling unused reports, and was built with Python, TypeScript, AWS services, MySQL, and Kafka.