Hemachandra Kolisetty — Software Engineer

I am a Software Engineer and Machine Learning Systems Researcher with 5+ years of experience at Microsoft, specializing in scalable backend systems, AI/ML inference, and distributed computing. Currently, I am pursuing a Master’s in Computer Science at Georgia Tech (4.0 GPA) with a focus on ML Systems, Distributed Training, Inference Serving, and Model Optimization. At Microsoft, I played a key role in architecting large-scale backend services (supporting 250M+ MAUs), leading API design for M365 Groups, and developing LLM-powered AI assistants for enterprise productivity. I have also contributed to distributed system reliability and cloud-based microservice architectures. My research at Georgia Tech explores adaptive inference serving systems, integrating early-exit models and dynamic model selection in LLMs to optimize accuracy-latency trade-offs. My current interests lie in optimization techniques for training and serving large-scale ML models. I am passionate about building high-performance, intelligent systems and thrive in environments that require technical depth, problem-solving, and innovation. I bring strong leadership, mentorship, and cross-functional collaboration skills, having led teams, mentored junior engineers, and improved system reliability across global-scale platforms. Key Skills & Expertise • Backend & Distributed Systems: Scalable API design, microservices, high-availability architectures • ML & AI Systems: Distributed Training, Inference Serving & Optimization, NAS, LLMs, RAG • Cloud & Infrastructure: Azure Cognitive Services, OpenAI APIs, Event Hub • Programming: Python, C#, C++, Java, Kotlin, SQL • Performance & Reliability: System debugging, latency optimization I am looking for opportunities where I can apply my expertise in ML systems and backend engineering to build scalable, intelligent, and efficient AI-powered platforms.

Stackforce AI infers this person is a Backend and ML Systems Engineer specializing in scalable AI solutions.

Location: Seattle, Washington, United States

Experience: 6 yrs 11 mos