Hi, I’m Shoa Aamir, a mid-senior ML engineer focused on building practical, scalable AI systems. I currently work with Function Health USA, where I forecast chronic-condition risks with ensemble models, design LLM workflows and AI Agents with tracing and evaluation, and fine-tune open-source LLMs on medical data to improve accuracy. I also build robust ETL pipelines for RAG workflows, construct knowledge graphs, and experiment with reinforcement learning, all while extending practical context windows and benchmarking prompt consistency.
Beyond ML, I lead scalable filtering and GraphQL microservices architecture, and I’ve shipped backend and data engineering solutions across AWS, GCP, and serverless environments. I enjoy collaborating on cross-disciplinary teams, mentoring peers, and staying curious about Explainable AI and efficient inference techniques. I hold a BTech in Computer Science and Engineering from Lovely Professional University and have pursued certifications in ML from Stanford and German language proficiency from Goethe Institute.
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