Ashwattha Phatak

Raleigh, NC
📞 919-971-3500 | 📧 ashwatthap@gmail.com
🔗 linkedin.com/in/ashwatthaphatak | github.com/ashwatthaphatak

SUMMARY

Graduate CS student (GPA 3.93) specializing in Operating Systems and Embedded Software. Hands-on experience with kernel development (Xinu OS: demand paging, scheduling, file system defragmentation), Linux-embedded platforms (NVIDIA Jetson, ROS), and OTA firmware infrastructures. Skilled in real-time systems, memory management, device configuration (switches, modems, edge devices), and debugging embedded platforms for robotics and autonomous applications.

EDUCATION

North Carolina State University, Raleigh – M.S. in Computer Science (Aug 2024 – May 2026)

• GPA: 3.93 / 4.00
• Relevant Coursework: Operating Systems, Parallel Systems, Autonomous Driving Systems, Computer Networks, Advanced Robotics, Software Engineering

Vishwakarma Institute of Technology, Pune – B.Tech. Electronics & Telecommunication (Aug 2019 – May 2023)

• GPA: 8.76 / 10.0, Honors in Artificial Intelligence

SKILLS

Programming: C, C++, Python, Bash, CUDA
Systems & Frameworks: Linux (L4T), Xinu OS, ROS, RTOS principles, OpenCV, Docker
Technologies: Embedded Systems, Real-Time Systems, Operating Systems, Computer Networks, Autonomous Platforms
Tools: Git, AWS, Grafana, Splunk

EXPERIENCE

Precision Sustainable Agriculture

Embedded Systems Software Intern – Raleigh, NC
May 2025 – Dec 2025

• Developed automated OTA update infrastructure for NVIDIA Jetson AGX Orin, ensuring robust firmware delivery and rollback protocols.
• Engineered one-touch commissioning workflow for switches, modems, and Jetson devices, reducing setup and deployment time.
• Implemented real-time health monitoring and automated testing for PoE OAK-D cameras, GPS modules, SMB protocols, edge units, and network switches.
• Migrated from ROS1 rosbag to a modern logging pipeline, improving data throughput and reliability in precision agriculture deployments.

Systems Lab – Dr. Yoon Man-ki

Research Assistant, Autonomous Systems – Raleigh, NC
Jan 2025 – May 2025

• Investigated 3D LiDAR data compression/decompression for autonomous driving data, benchmarking performance across ML/DL pipelines.
• Designed and validated data pipelines, improving storage efficiency and reducing latency in embedded inference tasks.

State Street Corporation

Software Engineer / Automation Intern – Bangalore, India
Jan 2023 – Jul 2024

• Automated infrastructure monitoring and log parsing tools (Python, Bash), reducing manual effort by 10+ hours weekly.
• Built dashboards for reliability analytics, streamlining troubleshooting for distributed financial systems.
• Documented 150+ technical articles, reducing onboarding time for new engineers.

PROJECTS

Xinu OS – Kernel Development in C (CSC 501)

Aug 2024 – Dec 2024

• Implemented new round-robin scheduling policies with Linux-like fairness, eliminating process starvation.
• Built demand paging with multi-level page tables (16MB physical → 4GB virtual per process), reducing page faults by 40%.
• Developed inode/superblock parsers for a file system defragmenter, achieving contiguous disk allocation via multi-level block management.
• Experience with context switching, interrupt handling, IPC, TLB management, and memory allocation strategies.

Autonomous Vehicle Stop Sign Detection – CARLA Simulator

Mar 2025

• Integrated a CNN-based traffic sign classifier with CARLA’s RGB camera pipeline for real-time stop sign detection.
• Designed wave-curve probability tracker for confidence-based vehicle slowdown (≥60%) and stop (≥90%).
• Optimized camera FOV, resolution, and latency for reliable embedded vision performance in constrained environments.