Student Researcher at Georgia Institute of Technology
Atlanta, Georgia, United States
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Summary
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Senior
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Top School
Ishita Vohra is a systems-focused ML researcher and engineer with eight years of experience building high-throughput, production-grade inference and data pipelines. At Georgia Tech she designed a real-time serving system handling tens of thousands QPS with 99.99% SLO attainment and led profiling work that exposed CPU/GPU/memory/network bottlenecks in agentic AI workloads. Her industry work includes deploying a RAG-based support agent at Adobe that cut team workload by 70% and past roles at Goldman Sachs where she optimized memory and reduced processing time by nearly half for large-scale financial data joins. Equally comfortable in research and production, she combines GPU-aware optimization (PyTorch 2.0, CUDA Graphs) with practical scheduling and compression pipelines to improve latency and accuracy. She also mentors and teaches, having onboarded new hires and instructed courses from algorithms to Game AI, and is seeking full-time ML/AI infrastructure roles starting June 2026.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at International Institute of Information Technology Hyderabad (IIITH)
Contributions:3 pushes, 1 branch in 1 year 6 months
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Ishita Vohra - Student Researcher at Georgia Institute of Technology