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Tech leader, hands-on scientist and software engineer. 10 years of experience in machine learning, computer vision and high-performance computing.I'm passionate about solving challenging problems that require deep domain understanding and reasoning from first principles. I translate complex ideas from basic research into working AI systems with 8-digit revenue. I have been a founding member of various incubation teams that took innovative AI ideas from zero to one, and I have extensive experience leveraging ML to optimize mature system and solutions. Areas of technical expertise:Machine Learning | Computer Vision | Deep Learning | Reinforcement Learning | Convolutional neural networks | Generative models |Transfer Learning |Data Augmentation | High-performance computing | Numerical Linear Algebra | Compiler Optimizations | CPU-GPU hybrid architectures | Signal Processing | Pattern Recognition | Image Processing | C, MATLAB, C++, Python, SIMD programming | Cloud Computing | Tech Lead
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Co-FounderVisum AiSeattle, Wa, Us -
Senior Applied Scientist And Science ManagerAmazon Oct 2016 - PresentSeattle, Wa, UsComputer Vision, Deep reinforcement learning, Causal Inference, High-performance computing -
Applied ScientistMicrosoft Dec 2013 - Sep 2016Redmond, Washington, Us -
Software EngineerMicrosoft 2012 - 2013Redmond, Washington, Us
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Research AssistantPurdue University Sep 2004 - Sep 2012West Lafayette, In, UsResearch Area: Sparse modeling of high-dimensional, signals using Sparse Matrix Transform (SMT) Problem: Conventional covariance learning methods perform poorly when data dimensionality is larger than number of samplesKey Contributions:• Created Vector-SMT, a distributed method to model the covariance of high-dimensional vector signals, allowing distributed signal analysis in wireless sensor networks with modest communication costs, enabling important monitoring/surveillance applications• Developed state-of-the-art hyperspectral target detectors and novel methodology for performance evaluation of remote sensing target detectors working together with Dr. James Theiler (Los Alamos National Laboratory)• Created Graphical SMT, a low-complexity method for modeling high-dimensional graphical data, enabling use of SMT to model high-resolution images in real applications• Developed SMT-based classification algorithm, applied to classify hyperspectral images and human facial data -
Research Summer InternIbm T. J. Watson Research Center May 2008 - Aug 2008Created mini-vectorizer and software pipeline passes to enhance optimizing compiler for numerical linear algebra routines, enabling automatic generation of highly efficient routine kernels for Blue Gene supercomputer
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Summer InternIbm May 2005 - Aug 2005Armonk, New York, Ny, UsPorted and optimized set of life sciences applications for Blue Gene/L supercomputer -
Research Co-OpIbm T. J. Watson Research Center Oct 2002 - Mar 2004- Created highly efficient BLAS library routines for Blue Gene/L, achieving up to 100% CPU/memory bandwidth efficiency- Contributed to tuning of LINPACK benchmark, used to rank Blue Gene/L the fastest supercomputer in the world
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Software EngineerLarc- Usp 2001 - 2002
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Software EngineerScopus Technology 2001 - 2002São Paulo, Sp, BrCreated prototype of a Web-based ATM system for major Brazilian retail bank.
Leonardo Bachega Skills
Leonardo Bachega Education Details
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Purdue UniversityElectrical And Computer Engineering -
Purdue UniversityElectrical And Computer Engineering
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Usp - Universidade De São PauloComputer Engineering
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Usp - Universidade De São PauloPhysics
Frequently Asked Questions about Leonardo Bachega
What company does Leonardo Bachega work for?
Leonardo Bachega works for Visum Ai
What is Leonardo Bachega's role at the current company?
Leonardo Bachega's current role is Co-Founder.
What is Leonardo Bachega's email address?
Leonardo Bachega's email address is lb****@****due.edu
What is Leonardo Bachega's direct phone number?
Leonardo Bachega's direct phone number is +176558*****
What schools did Leonardo Bachega attend?
Leonardo Bachega attended Purdue University, Purdue University, Usp - Universidade De São Paulo, Usp - Universidade De São Paulo.
What skills is Leonardo Bachega known for?
Leonardo Bachega has skills like Algorithms, Pattern Recognition, Machine Learning, Matlab, High Performance Computing, Python, Java, Parallel Programming, Mathematica, Statistical Signal Processing, C/c++ Stl.
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