I am a ML-focused software engineer with 3 years of commercial experience in machine learning, computer vision, and Python-based development. I am currently completing a Master of Computing at ANU and expect to graduate in June 2026. I have hands-on ML infrastructure experience building simulation environments and training reinforcement learning policies using PyTorch and NVIDIA Isaac Sim. I am AWS-certified and enjoy turning complex problems into reliable, scalable software. I have shipped software in production-scale teams with a strong focus on MLOps engineering. I thrive in collaborative research environments, prototyping and benchmarking models, and maintaining reproducible training configurations across experiments. I am eager to apply my cross-disciplinary skills to build impactful ML-powered solutions.

KAIVALYA KARANAM

I am a ML-focused software engineer with 3 years of commercial experience in machine learning, computer vision, and Python-based development. I am currently completing a Master of Computing at ANU and expect to graduate in June 2026. I have hands-on ML infrastructure experience building simulation environments and training reinforcement learning policies using PyTorch and NVIDIA Isaac Sim. I am AWS-certified and enjoy turning complex problems into reliable, scalable software. I have shipped software in production-scale teams with a strong focus on MLOps engineering. I thrive in collaborative research environments, prototyping and benchmarking models, and maintaining reproducible training configurations across experiments. I am eager to apply my cross-disciplinary skills to build impactful ML-powered solutions.

Available to hire

I am a ML-focused software engineer with 3 years of commercial experience in machine learning, computer vision, and Python-based development. I am currently completing a Master of Computing at ANU and expect to graduate in June 2026. I have hands-on ML infrastructure experience building simulation environments and training reinforcement learning policies using PyTorch and NVIDIA Isaac Sim. I am AWS-certified and enjoy turning complex problems into reliable, scalable software.

I have shipped software in production-scale teams with a strong focus on MLOps engineering. I thrive in collaborative research environments, prototyping and benchmarking models, and maintaining reproducible training configurations across experiments. I am eager to apply my cross-disciplinary skills to build impactful ML-powered solutions.

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Experience Level

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Work Experience

Research Intern at NAPPING AI
June 1, 2025 - Present
Build and test simulation environments in NVIDIA Isaac Sim for humanoid and quadruped robots; manage large-scale synthetic data pipelines for training; apply reinforcement learning with task-specific reward engineering to train locomotion and manipulation policies in PyTorch; collaborate with research engineers to prototype, benchmark, and validate models with reproducible training configurations.
Service Engineer at Zoom Video Communications
July 1, 2021 - June 1, 2024
Developed and maintained features for Zoom’s web interface and meetings module supporting millions of users; built internal automation tooling; monitored production releases and resolved bugs across backend services; led incident response during outages and supported enterprise customers.
Research and Development Intern at Ericsson
January 1, 2021 - May 1, 2021
Delivered a data export-to-PDF feature adopted by 50+ internal users; worked with Python, SQL, and web development tools in a large-scale enterprise environment.
Research and Development Intern at YAREV TECHNOLOGY NIT Rourkela
May 1, 2019 - July 1, 2019
Developed real-time IoT home automation projects, gaining experience with circuit design, hardware testing, and embedded systems (NodeMCU, GPS, ultrasonic sensors).

Education

Master of Computing at Australian National University
January 11, 2030 - June 1, 2026
B.Tech, Electronics and Communication Engineering at INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, IIITDM KANCHEEPURAM
August 1, 2017 - January 1, 2021

Qualifications

AWS Certified Cloud Practitioner (CLF-C02)
March 1, 2026 - March 17, 2026

Industry Experience

Software & Internet, Computers & Electronics