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Jarin Tasnim
Staff/Lead Software Engineer specializing in distributed data and ML platforms
Mountain View, CALead Software Engineer6 years experienceStaffEducationArtificial IntelligenceAerospace & Defense
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About
Defense-domain AI engineer who built a production ReAct-style RAG system for military training data/material generation, scaling to ~1000 users and cutting generation time by 50%. Also has experience designing GPU-cluster parallel computation with PyTorch and handling production incidents involving database performance and schema design.
Experience
Lead Software EngineerStanford University
Lead Software DeveloperCalian AT
Software DeveloperNutrien Ag Solutions
Graduate Research AssistantUniversity of Saskatchewan
Education
University of Saskatchewanmaster, Computer Science (2020)
KUETbachelor, Electrical & Electronic Engineering (2017)
Key Strengths
- Built and deployed ReAct-based RAG system from prototype (Gradio) to production
- Scaled LLM system to support ~1000 concurrent training users
- Reduced training material generation time by 50%
- Designed and validated GPU-cluster parallel computation via benchmarking and GPU monitoring
- Strong incident debugging: traced release-blocking slowdown to inefficient DB table updates and documented improved design
- Effective ambiguity ownership: defined baseline requirements via domain-expert outreach, shipped prototype, and iterated via prioritized feedback
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