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Soham Patil
Junior Cloud & AI/ML Engineer specializing in AWS GovCloud and MLOps
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About
Robotics software engineer with hands-on ROS 2 autonomy experience on an obstacle-avoiding quadrotor (ROS 2 + Gazebo + PX4 + Nav2/SLAM), including custom work to extend Nav2 into a 3D aerial domain and output PX4 trajectory setpoints. Also built cost-saving ML infrastructure (PostgreSQL + AWS data-cleaning pipeline) and improved object detection accuracy by 40% using CUDA/PyTorch, with strong containerization and CI/CD practices (Docker + Kubernetes, aggressive version pinning) to prevent environment drift.
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Key Strengths
- Improved precision object detection accuracy by 40% via new data + CUDA training and hyperparameter optimization
- Built automated training-data cleaning pipeline (PostgreSQL + AWS) saving ~$20K in data prep costs
- Containerized and deployed AI model with Docker/Ubuntu for field/combat deployment constraints
- Adapted Nav2 from 2D ground assumptions to 3D aerial navigation by adding a custom altitude/3D avoidance node outputting PX4 trajectory setpoints
- Debugged and optimized real-time control loops (reduced slow loop/jitter) by tuning frequencies and decoupling planners from controllers
- Hands-on ROS 2 networking for UAV-UGV teaming with low-latency peer-to-peer comms and network troubleshooting
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