Shanthi Sree Lekkala

Associate Engineer @Genzeon

San Francisco, CA, US
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WORK HISTORY

Jan 2026 — Present

Associate Engineer @Genzeon

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Philadelphia, PA, US

Contribute to the engineering and operation of cloud-native healthcare automation systems on Microsoft Azure, supporting infrastructure provisioning, environment configuration, and production reliability. Collaborate on backend services in.NET and Python, enhance IVR workflows using telemetry-driven analysis, and investigate cross-service issues across distributed Azure components. Support system stability and containment improvements through log correlation, root-cause analysis, and structured release validation in stage and production environments.

EDUCATION

N/A

Osmania University, Hyderabad

Master's degree, Computer Science

N/A

Purdue University

Master's degree, Computer Science

N/A

Osmania University, Hyderabad

Bachelor of Science - BS, Maths Statistics and Computer Science

ABOUT SHANTHI SREE LEKKALA

I’m the kind of person who gets way too excited when something finally works after hours of trying.My work spans backend development, cloud infrastructure, and data systems. I spend time writing Python and.NET code, optimizing SQL and PostgreSQL queries, working across Azure resources, deploying with Docker and CI/CD pipelines, and troubleshooting issues in distributed cloud environments. Some days I’m deep in telemetry, writing KQL queries and tracing requests end to end to understand production behavior. Other days I’m refining workflows, improving system reliability, or making small changes that dramatically improve performance.I genuinely enjoy turning messy operational data into dashboards that actually make sense using tools like Power BI and Tableau. There is something incredibly satisfying about transforming complexity into clarity.On the AI side, I’ve been exploring PyTorch, Spark, and Hugging Face, building OCR systems that read text from images and experimenting with generative models that sometimes create amazing results and sometimes completely miss the mark. Both outcomes are fascinating. I also use tools like GitHub Copilot to accelerate development and experiment faster. It feels like collaborating with a very quick teammate who occasionally surprises you.What really excites me are those breakthrough moments. When a slow system suddenly becomes fast after one small optimization. When you finally uncover a subtle bug hiding across multiple services. When a model generates something so good you just sit back and think, how did it even know to do that?Outside of work, I’m usually listening to podcasts on random topics, watching documentaries that teach me something new, or getting lost in music. I’m fascinated by how systems work, whether that’s cloud architecture, machine learning models, or even how our brains process information. And yes, organizing a space until everything feels aligned is oddly satisfying.If you’re working on meaningful problems in software, cloud, or AI, I’m always happy to connect and explore interesting conversations and opportunities.

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