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Scientific computing engineer with growing competency in machine learning. 14+ years of previous experience as an accomplished research and development engineer in the field of electronic design automation. Strong background in software development and experienced in writing clean, well-tested, and well-documented code. Mastery of computational science with emphasis on designing innovative and effective algorithms.MACHINE LEARNING COURSES AND PROJECTS• Caltech CS 156: Machine Learning course, covering theory, algorithms, and applications. Homework completed in Python.• Stanford CS 229: Machine Learning course (Graduate level), emphasizing theory and derivation of models and methods. Read lecture notes.• MIT 18.05: Introduction to Probability and Statistics. Read lecture notes.LANGUAGES AND LIBRARIES• Python, C, C++, Objective-C, MATLAB, Unix shell script.• NumPy, SciPy, Scikit-learn, Matplotlib, Intel MKL (BLAS, LAPACK), Apple iOS SDK.TOOLS AND PLATFORMS• VS Code, Visual Studio, Xcode, Jupyter, Spyder.• Git, Sourcetree, Subversion, CVS.• Unix / Linux, Windows, MacOS.EDA / NONLINEAR CIRCUIT ANALYSIS AND NUMERICAL METHODS• Transistor-level RF circuit simulation algorithms theory and practice.• Spectral methods (Harmonic Balance), Krylov subspace solvers, and preconditioners.• S-parameter modeling and passivity enforcement techniques.• General numerical methods and scientific programming.SCIENTIFIC SOFTWARE DEVELOPMENT• Software design and implementation in C/C++ on Windows and Unix / Linux.• MATLAB, Microwave Office/Axiem, SPICE, ADS/RFDE, Goldengate, Spectre.
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Machine Learning EngineerHyperspace Labs Oct 2019 - PresentLos Angeles, California, United States• Acquiring machine learning skills via online courses, readings, and projects. -
Founder / Chief Ios Software EngineerHyperspace Labs Oct 2012 - Oct 2019Los Angeles, California• Designed, architected, developed, and launched the free-to-play iOS game app ShapeShifters. The app was written in Objective-C, followed the MVC paradigm, and utilized the libraries: Foundation, UIKit, Core Graphics, Core Animation, CloudKit (iCloud), StoreKit (In-App Purchases), GameKit (Game Center), AVFoundation, CoreText, Google Firebase (mobile ads, analytics), and Chameleon (color scheme management). ShapeShifters was monetized via Google mobile ads and in-app purchases.• Built a responsive web page for ShapeShifters using HTML, CSS, and Bootstrap.• Developed and managed a marketing campaign for ShapeShifters on Facebook, Twitter, and Instagram. -
Senior Development EngineerAwr Design Environment Jun 2007 - Sep 2012El Segundo, California• Developed a robust AFS (Advanced Frequency Sweep) feature for the Axiem EM simulator, achieving 2-10x simulation speedups and 95% convergence rate with high accuracy.• Implemented a FRVF (Fast Relaxed Vector Fitting) engine for the Axiem AFS and Microwave Office S-parameter modeling, yielding 10-100x speedup and 100x smaller memory footprint.• Developed a DVF (Delayed Vector Fitting) engine, achieving 2-10x speedup over standard VF.• Developed robust and efficient residue adjustment and pole perturbation methods for global S-parameter passivity enforcement, yielding 2-5x speedup at same accuracy.• Implemented advanced Krylov solvers such as GMRESR, MHGMRES (for multiple RHS), and LSQR, and ILU preconditioners.• Implemented rSVD and ACA (adaptive cross approximation) methods for MKL and H matrices.• Implemented HSPICE circuit synthesis from the DVF models.• Researched accuracy limitations of the vector fitting methods, and techniques to correct causality violations in raw Axiem data.• Architected the AFS performance suite to track convergence, performance and data integrity for the AFS feature in Axiem's simulator builds.• Assisted application and sales engineers in successfully resolving customer issues. -
Expert-Level R&D Lead EngineerAgilent Technologies Jul 2000 - May 2007Westlake Village, California• Technical lead for HB (Harmonic Balance) technology. Accountable for innovation, advancements, and maintenance of HB simulation technology in ADS/RFDE and GoldenGate simulators.• Enhanced HB robustness by developing an auto convergence feature, effecting a convergence rate improvement from 70% to over 90%. Retained major customers (e.g. ST Microelectronics), as well as won new ones. Received an innovation award for the work.• Led and participated in a four person team development effort that achieved a cumulative HB speedup of 5x at default settings through a set of new features (auto setup, solver predictor, etc). Received two innovation awards for this work.• Developed advanced Krylov-HB preconditioners such as the ITP (iterative time-domain) and SCP (schur-complement) preconditioners, achieving simulation speedups from 2-10x.• Led and participated in a number of other projects within the team: predictor-driven auto HB assisted HB yielding 2.7x speedup for multi-tone simulations, automated transient-assisted HB used for dividers, and memory predictor optimizing simulation setup for given RAM.• Developed a number of other features including DC preconditioner speed and robustness enhancements, nonlinear solver improvements (new convergence modes), and polynomial-based nonlinear RLC devices.• Architected the HB benchmark suite, used to track HB convergence, speed, and data integrity of ADS/RFDE simulator builds. Interpreted complex simulation data using statistical methods.• Successfully resolved simulation issues and introduced new capabilities to key customers such as ST Microelectronics and Freescale to resolve simulation issues on site..• Developed and delivered seven training classes on circuit simulation to the field, application, and R&D engineers covering HB convergence, HB speedups, and Krylov methods. -
Senior Staff ScientistMotorola Jan 1998 - Jun 2000Austin, Texas• Developed the Time-Mapped HB analysis for fast simulation of highly nonlinear RF circuits with rapid transitions, yielding speedups of up to 6x. Work implemented in Motorola's MICA simulator and published in Ph.D. Thesis, CICC, and DAC 1999 conferences.• Developed methodologies for high-capacity and high-performance (fast transient) simulation of large mixed-signal SoC designs with emphasis on SOI circuits.• Assisted circuit designers in simulation work and problem resolutions.
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Frequently Asked Questions about Ognen Nastov
What company does Ognen Nastov work for?
Ognen Nastov works for Hyperspace Labs
What is Ognen Nastov's role at the current company?
Ognen Nastov's current role is Scientific Computing Engineer | Machine Learning Engineer.
What is Ognen Nastov's email address?
Ognen Nastov's email address is og****@****orp.com
What is Ognen Nastov's direct phone number?
Ognen Nastov's direct phone number is +132325*****
What schools did Ognen Nastov attend?
Ognen Nastov attended Massachusetts Institute Of Technology, Massachusetts Institute Of Technology, Massachusetts Institute Of Technology.
What skills is Ognen Nastov known for?
Ognen Nastov has skills like Eda, Circuit Simulation, Scientific Computing, C, C++, Software Development, Numerical Analysis, Simulations, Agilent Ads, Matlab, Algorithms, Awr Microwave Office.
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