Akhil Varma
@akhilvarma
Technical product manager specializing in AI/ML infrastructure, GPU inference, and scalable developer-facing solutions.
What I'm looking for
I am a Technical Product Manager with hands-on engineering experience building AI/ML data pipelines, GPU-accelerated inference workflows, and developer-facing demos that speed adoption and reduce latency. I combine software engineering skills with product strategy to deliver measurable performance and adoption gains.
At Wiz Systems I engineered distributed AI/ML pipelines using Python, PyTorch, Java, and SQL, cutting model training latency by 70% and accelerating developer onboarding by 40% through reusable ML templates and GPU-ready demos. In earlier roles I developed automation frameworks and cloud observability solutions that increased test coverage and improved model reliability.
I enjoy translating complex ML engineering challenges into clear, documented solutions for developers and field teams, producing guides and demos (CUDA, TensorRT) that improve integration clarity and support go-to-market efforts. I seek roles where I can drive technical product initiatives, mentor cross-functional teams, and scale AI systems for production.
Experience
Work history, roles, and key accomplishments
Technical Product Manager
Wiz Systems
Jun 2025 - Present (1 year 2 months)
Engineered distributed AI/ML data pipelines and model inference workflows that improved model training latency by 70% and powered real-time analytics; built reusable GPU-ready onboarding templates that accelerated developer adoption by 40%.
Developed Python and Java automation frameworks that increased automated test coverage by 25% and improved ML model reliability; implemented AWS-based observability dashboards to monitor inference latency and throughput for GPU-enabled releases.
Education
Degrees, certifications, and relevant coursework
University of Texas at Dallas
Bachelor of Science, Computer Science
2022 - 2025
Pursued a Bachelor of Science in Computer Science with coursework in algorithms, systems, AI/ML, and software engineering; completed degree in May 2025.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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