I am currently Bioinformatics ML engineer and worked as  Assistant Bioinformatician and research computing specialist at Northeastern University, where I support 10,000+ researchers in onboarding onto HPC and cloud environments, advise on GPU and accelerator configurations for AI/ML and scientific workloads, and debug distributed training workflows across PyTorch, TensorFlow, Slurm, and containerized platforms (Docker, Singularity). I have authored 10+ onboarding guides, delivered 8+ hands-on technical workshops, mentored junior team members on HPC workflows, and documented researcher pain points that reduced recurring support issues by 35%. I hold an M.S. in Bioinformatics  and a Google Cloud AI Infrastructure Specialization, and I am presenting at PEARC 2026 on building a GenAI-powered HPC assistant using RAG pipelines and LLM inference to streamline researcher support. I am eager to join CCMNet to connect with peers across the national CI community, share my experience bridging the gap between academic researchers and large-scale compute infrastructure, and learn best practices for scaling researcher enablement and building inclusive, community-driven support models.