Open to opportunities

Keerthi Thalamala

@keerthithalamala

Message

Software engineer specializing in cloud-native microservices and ML-enabled systems.

United States

Message

What I'm looking for

I seek hands-on roles building cloud-native microservices and production ML systems in collaborative Agile teams focused on reliability, scalability, and measurable operational impact.

I am a software engineer with 4+ years building scalable, high-performance applications across automotive and enterprise domains, leveraging cloud-native patterns on AWS and Microsoft Azure.

I design and deploy microservices, RESTful APIs, real-time systems, and production ML solutions—using Python, Node.js, React, Kubernetes, Docker, and CI/CD—to reduce latency, improve reliability, and deliver measurable operational impact.

I thrive in Agile, cross-functional teams, prioritize secure and maintainable code, and have delivered results such as reduced API latency, improved database efficiency, predictive maintenance models, and intrusion detection systems.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer

Current

Tesla

Apr 2024 - Present (1 year 10 months)

Designed and deployed backend microservices and realtime telemetry interfaces, reducing API latency by 40% and improving fleet responsiveness; built forecasting models that cut service visits by 18% and an IDS that mitigated 70+ monthly intrusion attempts.

Python fastAPI Kubernetes AWS IoT Core PostgreSQL Prophet

Software Engineer

Cognizant

Jan 2019 - Dec 2022 (3 years 11 months)

Developed cloud-native enterprise web applications and backend services on Azure, implemented CI/CD pipelines and TDD practices, and productionized ML models to streamline real-time reporting and reduce defects.