# Saneeth Reddy Depa > Software Developer | Grad student at Northeastern University Location: Boston, Massachusetts, United States Profile: https://flows.cv/saneeth As a versatile and innovative software developer, I specialize in crafting robust and scalable solutions using a diverse range of technologies. With a strong foundation in computer science, I excel in programming languages such as Java, C, C++, Python, JavaScript, React JS, Node JS, and SQL. My expertise extends to mobile and web application development, system design, and cloud computing, particularly leveraging AWS services like AWS Lambda, AWS DynamoDB, and AWS CloudFormation. I have a proven track record of enhancing system efficiency and performance through the development and maintenance of data integration tools, implementation of RESTful APIs, and execution of disaster recovery strategies. My skills in creating CI/CD pipelines and conducting rigorous testing ensure high code integrity and functionality. I am proficient with tools and libraries including IntelliJ, Android Studio, Tableau, MS Excel, Power BI, GIT, and GitHub. In addition to my technical capabilities, I am passionate about problem-solving and continuously learning new technologies to stay at the forefront of the industry. My specialties include algorithms, networking, and competitive programming, where I have achieved a Gold Level on HackerRank. I thrive in collaborative environments where I can contribute to impactful projects and drive innovation. Through my academic journey and professional experiences, I have developed strong skills in system design, data management, and application development. I am dedicated to delivering solutions that meet and exceed expectations, ensuring scalability, reliability, and security. I am actively seeking internships/co-ops for Software Engineer, Data Scientist, Data Analyst/Business Analyst roles. ## Work Experience ### Software Dev Engineer @ Amazon Jan 2025 – Present • Designed and implemented a distributed air cargo validation platform using AWS CDK, EventBridge, and Lambda, achieving a 60% increase in system efficiency and eliminating redundant payment processing across carrier networks • Developed scalable RESTful APIs and a custom rule engine to detect anomalies in over 50 concurrent flight operations handling $20M+ in cargo, ensuring reliability and fault tolerance under real-time workloads • Built and optimized CI/CD pipelines with CloudWatch metrics, alarms, and dashboards, enabling automated testing and monitoring that reduced system load by 40% and improved release confidence • Engineered an extensible DynamoDB schema leveraging adjacency list patterns and GSIs, enhancing query performance and supporting many-to-many data relationships across distributed systems • Implemented GraphQL APIs in TypeScript and automated integration tests, reducing production deployment time by 80% and ensuring high availability in serverless environments. ### Software Engineer @ VEIR Jan 2023 – Jan 2024 | Woburn, MA • Led development of an end-to-end traceability platform using Python Dash and PostgreSQL to track 60,000+ HTS tapes across 10+ manufacturing processes, accelerating vendor-to-inventory decisions by 90% and cutting manual lookup time by 75%. • Designed and deployed a secure, scalable architecture on GCP with Azure AD SSO, role-based access for 100+ users, and autoscaling enabled through Nginx reverse proxy and firewall rules, maintaining 99.9% uptime with 5000+daily requests. • Integrated CI/CD pipelines using GitHub Actions to automate test and deployment flows across DEV and PROD environments, reducing release cycles by 50% and improving rollout stability in alignment with continuous improvement practices. • Applied agile principles and robust development practices to build and deliver MVPs for quality-check workflows and inventory optimization, achieving 2% cost savings and a 60% improvement in inventory accuracy while utilizing Test Driven Development • Optimized Nginx performance via compression, caching, and connection pooling, reducing load time by 20% and server latency by 35%, which doubled concurrent user handling capacity, while adding RBAC based access controls to boost security by 80% ### Software Engineer @ ZS Jan 2021 – Jan 2023 | India • Built and scaled a microservices-based portfolio management platform using Java, Spring Boot, and REST APIs, improving system scalability by 40 % and cutting inter-service latency by 25 % through efficient load balancing, asynchronous calls, and caching • Implemented event-driven architecture with Apache Kafka, enabling real-time trade and risk data synchronization across distributed services; achieved stable throughput of 5 K+ messages/sec and improved data delivery latency by 40 %. • Optimized Oracle RDBMS schema, indexing, and stored procedures to support millions of transactions, reducing query execution time by 35 % and boosting API responsiveness for analytics-heavy workloads. • Containerized and deployed services using Docker on AWS ECS & RDS, achieving 99.9 % uptime and near-zero downtime updates, integrated Splunk and Dynatrace for monitoring, cutting incident resolution time by 50 % through real-time insights. • Collaborated closely with cross-functional teams, particularly with financial analysts and stakeholders, to refine software solutions, ensuring they aligned with industry standards and met evolving regulatory requirements. ### Research Assistant @ Jawaharlal Nehru Technological University Jan 2021 – Jan 2021 | India Research Project – Cloud-Native Web Application Jan 2021-May 2021 • Architected and deployed a production-grade cloud-native platform on AWS using React, Node.js, Sequelize ORM, PostgreSQL, Terraform, and Packer, achieving 99.9% availability and fault tolerance under simulated workloads. • Developed RESTful APIs with Basic Authentication and Sequelize driven DB bootstrapping, cutting provisioning from hours to minutes (100% automation) while enforcing secure password storage and schema initialization • Automated infrastructure provisioning VPCs, subnets, route tables, security groups, RDS and CI/CD pipelines Terraform, Packer, GitHub Actions, reducing infra errors by 80%, deployment failures by 70%, and release cycles by 50%. • Deployed secure, scalable systems with AMI and ALB rolling refresh, improving monitoring by 90% and issue detection by 60%. ## Education ### Master of Science in Computer Science Northeastern University ### Bachelor of Technology in Computer Science Jawaharlal Nehru Technological University ## Contact & Social - LinkedIn: https://linkedin.com/in/saneethdepa --- Source: https://flows.cv/saneeth JSON Resume: https://flows.cv/saneeth/resume.json Last updated: 2026-03-28