Amrit Krishnan
Engineering Manager at Vector Institute
Old Toronto, Ontario, Canada
Summary
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Senior🎓
Top SchoolAmrit Krishnan is an Engineering Manager and AI-focused software leader with 10 years of experience building production-grade systems and applied machine learning, particularly in healthcare. At the Vector Institute he has led teams developing open-source tooling, foundation models for EHR and atomistic data, and an AI engineering platform to bridge research to production. He created CyclOps, a framework for accelerating ML development and deployment in healthcare, and has deep domain expertise working with GEMINI, Canada’s largest hospital data-sharing network. His background spans computer vision, robotics-safe RL benchmarks, and MLOps, reflecting a strong blend of research and pragmatic engineering. Equally committed to people, he has mentored numerous interns and early-career engineers who have gone on to technical success. He combines curiosity-driven R&D with a talent for turning complex health-data problems into usable software and reproducible workflows.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Technology (B.Tech.), Instrumentation and Control Engineering, Bachelor of Technology (B.Tech.), Instrumentation and Control Engineering at National Institute of Technology, TiruchirappalliMaster's Degree, Complex Adaptive Systems, Master's Degree, Complex Adaptive Systems at Chalmers University of Technology
English, Hindi, Tamil, Swedish
Stackoverflow
1reputation
0reached
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Github Skills (200)
gradient-descent10
speech-processing10
unreal-engine-410
python10
simulator10
numerics10
huggingface10
deep-learning10
speech10
gpu10
foundation-models10
linter10
clinical-research10
recall10
stylelint10
Programming languages (14)
Github contributions (5)
VectorInstitute/AtomGen
May 2024 - Mar 2025
Library for handling atomistic graph datasets focusing on transformer-based implementations, with utilities for training various models, experimenting with different pre-training tasks, and a suite of pre-trained models with huggingface integrations
Contributions:65 reviews, 63 PRs, 70 pushes in 10 months
ai-for-scienceatomistic-machine-learningatomistic-modelsatomistic-simulationsfine-tuning
amrit110/amrit110
Jan 2021 - Sep 2022
Contributions:28 commits, 32 pushes, 1 branch in 1 year 8 months
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