**Sudeep Pendyala**
pedyala.sudeep14@gmail.com
+1 (513) 886-4703

### Skills
**Languages:** Java, Python, C, SQL, OOP, JavaScript, Linux, React, NodeJS, Bash, Shell scripting
**Databases:** MySQL, PostgreSQL, MongoDB, DynamoDB
**Tools/Frameworks:** Git, Spring Boot, Microservices, RESTful APIs, GraphQL, gRPC, HTTP, Redis, Streaming, Caching, Jira, Agile Methodology, JSON, YAML, SOAP, ML Infrastructure, Confluence, Slack
**Testing:** JUnit, Mockito, Integration, A/B Testing, Performance Testing, LoadRunner, Prototyping
**Other Skills:** AWS, Azure, Cloud Migration, DevOps, Docker, Kubernetes, Terraform, IaC, Kafka, CI/CD Pipelines, Distributed Systems Design, SDLC

### Work Experience
**Software Development Engineer 1, Amazon, Seattle, USA**
05/2022 – 04/2024
- Engineered an event-driven platform as a service (PaaS) for Alexa AI in Java, optimizing routing for a billion daily voice requests within 55ms. Achieved a 22% increase in CSAT scores.
- Implemented reactive streaming best practices using RxJava & Kafka, reducing latency by 26% through concurrency & performance optimization.
- Architected an MVP route resolver tool using React, Java, AWS Cloud, achieving a 72% reduction in ticket counts and alleviating on-call burden.
- Improved service availability to 99.99975% by enhancing features, stability, scalability, and implementing monitoring/logging.
- Collaborated with product managers to enhance Alexa's integration with partner platforms (BMW, Disney Resorts), contributing to 15% revenue growth.

**Software Engineer, INUK Technologies, Hyderabad, India**
08/2019 – 11/2020
- Developed a VoIP-based PBX system and revamped Missed Call Alert server in Python/SQL, increasing user engagement by 15%.
- Optimized network performance via SQL/Wireshark packet analysis, ensuring data integrity and security using TCP/IP, DHCP, UDP, DNS.
- Reduced turnaround times by 45% through cross-functional collaboration and troubleshooting.

### Projects
**Retail Demand Forecasting using Kroger Sales Data**
- Achieved 88% sales prediction accuracy by consolidating 2 years of data into SQL. Designed an Azure-hosted web portal for demand dashboards.

**Smart Grocery Cart using Machine Learning**
- Reduced checkout times by 90% with a Raspberry Pi-based billing system using Python/ML. Achieved 85% accuracy with YOLO/SSD/CNN algorithms.

**AI Chatbot**
- Integrated an AWS-powered chatbot on Facebook Messenger (Lex, S3, Lambda), reducing handle time by 43% and boosting satisfaction by 65%.

### Leadership & Volunteering
- Head of IEEE Student Branch Program Committee (85 members).
- Organized TEDx event (30-member team).
- Java tutor for high school students.
- Coordinated 12 inter-college tech expos.

### Education
**Master of Engineering, Computer Engineering**
01/2021 – 08/2022
University of Cincinnati, Ohio, USA
*Graduate Incentive Award Scholarship*

**Bachelor of Technology, Electronics & Communication Engineering**
08/2015 – 07/2019
JNTUH University, Hyderabad, India
*Innovative Project of the Year Award*

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