P

Prateek B.

Machine Learning Engineer

Hillsboro, Oregon, United States16 yrs 5 mos experience
Highly Stable

Key Highlights

  • Expert in machine learning applications for circuit design.
  • Proven track record in software development and algorithm optimization.
  • Strong background in circuit simulation and modeling techniques.
Stackforce AI infers this person is a Semiconductor Software Engineer specializing in machine learning and circuit simulation.

Contact

Skills

Core Skills

Machine LearningSoftware DevelopmentCircuit Simulation

Other Skills

Graph AlgorithmsAlgorithm DevelopmentCircuit PartitioningModel Order ReductionDevice ModelingCharacterizationModelingMatlabSimulationLabviewNumerical SimulationC++SimulationsSignal ProcessingVLSI

About

Machine learning and software professional with experience in end-to-end application and product development. Creative problem-solver with a unique combination of machine learning expertise, software development experience, mathematical and people skills. My interest lies in applied machine learning and large-scale software development.

Experience

16 yrs 5 mos
Total Experience
5 yrs 10 mos
Average Tenure
4 yrs 8 mos
Current Experience

Facebook

Machine Learning Engineer

Sep 2021Present · 4 yrs 8 mos · Remote

Machine LearningSoftware Development

Intel corporation

4 roles

Staff Software Engineer

Mar 2021Sep 2021 · 6 mos

  • Machine learning applications and related software development: Bringing machine learning to software applications used in circuit design environment.
Machine LearningSoftware Development

Senior Software Engineer

Promoted

Apr 2016Mar 2021 · 4 yrs 11 mos

  • Machine learning and circuit simulation software development: Worked on end-to-end application development and deployment of MLParest and improved circuit simulation efficiency using graph algorithms.
Machine LearningCircuit SimulationGraph AlgorithmsSoftware Development

Software Engineer

Feb 2011Apr 2016 · 5 yrs 2 mos

  • Working in the Circuit Engine team on Intel’s internal circuit simulator. The job position includes development, research and pathfinding to support current circuit simulation challenges. The specific contributions involved algorithmic development in the analog simulator for post-layout simulation capabilities, and fastSPICE simulations. The algorithms delivered 3X-100X speedup on a variety of circuits, without loss of accuracy. I was also responsible for owning and setting up the development environment, SVN/GIT repositories, regressions, tool release, etc. As a part of the job, I provided support and training of simulator tool to several Intel engineers
Algorithm DevelopmentCircuit SimulationSoftware Development

Graduate Technical Intern

Jun 2010Aug 2010 · 2 mos · Hillsboro, OR

  • Worked on the algorithmic investigation, implementation and verification of hierarchical graph based circuit partitioning. I developed, investigated, tested, and improved a few partitioning schemes, for parallel multithreaded circuit simulations, to be used in the Intel’s internal next generation circuit simulator.
Algorithm DevelopmentCircuit PartitioningSoftware Development

Sandia national laboratories

Graduate Intern

Jun 2009Aug 2010 · 1 yr 2 mos · Albuquerque-Santa Fe Metropolitan Area

  • Worked on a L1 norm based model order reduction technique, and also on a device model evaluator interface between the XYCE circuit simulator and the Rythmos, a time integration package under the Trillinos software package.
Model Order ReductionDevice Modeling

Intel corporation

Graduate Technical Intern

Jun 2008Aug 2008 · 2 mos · Hillsboro, OR

  • Worked on improving the characterization, storage and runtime of Multi Port Current Source
  • (MCSM) modeling of large, nonlinear I/O buffer circuits.
CharacterizationModeling

Education

University of California, Berkeley

MS — EECS

Indian Institute of Technology, Kanpur

B. Tech. — Electrical Engineering

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