Jan 2025 – Present · 1 yr 2 mos · Bengaluru, Karnataka, India · On-site

• Developing multi-model deep learning applications for Advanced Driver Assistance Systems (ADAS).
• Optimizing ADAS workloads for Active Low Power mode and enabling out-of-the-box ECU features on Jacinto SoC (TDA4x).
• Implementing and enhancing Pre-Processing & Post-Processing kernels for ARM A72/A53 cores on Linux & QNX.
• Worked across multiple compute cores (ARM, DSP, Vision Accelerators) in heterogeneous SoC environments to ensure seamless workload distribution and system performance.
• Gained hands-on experience across the complete Software Development Life Cycle : from planning and integration to validation, testing, and release of RTOS & Linux SDKs for complex heterogeneous SoCs.
• Working on new automotive ADAS feature development with a focus on optimal system performance and power efficiency.

Jul 2023 – Jan 2025 · 1 yr 6 mos · Bengaluru, Karnataka, India · On-site

• Developed and optimized out-of-the-box front camer vision applications in C for Jacinto SoCs (TDA4x).
• Leveraged TIOVX, OpenVX kernels and frameworks to offload processing & inference tasks to C7x DSP accelerators and ARM core.
• Contributed to SDK image builds with TIDL, EdgeAI, Robotics & Vision components across RTOS and Linux.

Jan 2023 – Jun 2023 · 5 mos · Bengaluru, Karnataka, India · On-site

• Developed a Django-based full-stack dashboard with PostgreSQL to consolidate test results & software quality metrics for SDK build systems.
• Deployed the solution in Docker containers within On-Prem Cloud for scalability.
• Re-architected automation frameworks running on 100+ test farm servers with 400+ SoCs, improving modularity, scalability, and robustness.
• Built EVM Cloud feature for on-demand SoC/EVM booking, streamlining SDK testing workflows.
• Enabled KPI data collection & analytics in the dashboard, leading to ~40% reduction in release cycle time through data-driven decisions.