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Abhishek Pathak

Machine Learning Engineer

Pittsburgh, Pennsylvania, United States5 yrs 1 mo experience
Highly Stable

Key Highlights

  • Expert in Machine Learning and Computer Vision.
  • Experience with embedded systems and cryptographic implementations.
  • Strong background in developing driver assistance technologies.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in Embedded Systems and Computer Vision.

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Skills

Core Skills

Machine LearningSoftware DevelopmentEmbedded SystemsComputational GenomicsComputer Vision

Other Skills

CC++PythonTensorFlowPyTorchKerasARM AssemblyClusteringInteger Linear ProgrammingDeep LearningSemantic SegmentationObject DetectionOpenCVOpenMPMPI

Experience

5 yrs 1 mo
Total Experience
5 yrs 1 mo
Average Tenure
5 yrs 1 mo
Current Experience

Apple

2 roles

Machine Learning Engineer

Mar 2021Present · 5 yrs 1 mo

CC++PythonTensorFlowPyTorchKeras+2

GPU Compute Intern

Jun 2020Aug 2020 · 2 mos

Massachusetts institute of technology

Visiting Student Researcher

May 2018Jul 2018 · 2 mos · Cambridge, Massachusetts

  • Implemented assembly-optimized cryptographic primitives for lattice-based protocols on embedded devices.
  • Worked in the Energy Efficient Circuits & Systems group under the supervision of Prof. Anantha Chandrakasan, MTL@MIT.
ARM AssemblyEmbedded Systems

Max planck institute for informatics

Winter Intern

Dec 2017Dec 2017 · 0 mo · Saarland

  • Developed new clustering and integer linear programming based approaches for solving the haplotype phasing problem for polyploid genomes.
  • Worked in the Algorithms for Computational Genomics group under the supervision of Prof. Tobias Marschall, Bioinformatics@MPII.
ClusteringInteger Linear ProgrammingComputational Genomics

Media lab asia

Summer Intern

May 2017Jul 2017 · 2 mos · New Delhi, India

  • Worked toward developing systems for driver assistance by studying deep learning techniques for semantic segmentation and object detection, and repurposing YOLO object detector to work in Indian traffic conditions.
  • Worked under the supervision of Prof. Narendra Ahuja, ECE@UIUC.
Deep LearningSemantic SegmentationObject DetectionComputer Vision

Education

Carnegie Mellon University

Master of Science - MS — Computer Science

Jan 2019Jan 2020

Indian Institute of Technology, Delhi

Bachelor of Technology - BTech — Computer Science

Jan 2015Jan 2019

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