Phaneesh worked on stabilizing the continuous integration process and expanding large-model build paths in the nod-ai/SHARK-Platform repository. By increasing the maximum iterations for the affinity solver within the model compilation script, he addressed a persistent CI failure for the llama70B-fp16 test, enabling reliable single-device compilation for 70B-scale models. His approach involved performance tuning and careful validation through CI runs, which reduced instability and accelerated iteration cycles for large-model scenarios. Utilizing Shell scripting and model compilation expertise, Phaneesh’s work laid the foundation for scalable deployment workflows, demonstrating depth in diagnosing and resolving complex issues in high-performance model environments.