Sangram Kapre

AI Researcher

Fremont, California, United States11 yrs 8 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led data science teams delivering ML solutions.
  • Implemented state-of-the-art machine learning models.
  • Recipient of Academic Excellence Award from IIT Hyderabad.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in Healthcare and Data Science.

Contact

Skills

Core Skills

Machine LearningDeep LearningComputer VisionData ScienceSoftware Development

Other Skills

CC++Data LabelingData MiningData StructuresDeepLab-V3Image SegmentationJavaScriptMentoringPattern RecognitionPythonRecommender SystemsSolution DesignStatistical Machine LearningStatistical Modeling

About

Experience of leading data science teams responsible for delivering machine learning solutions for a variety of domains such as healthcare, legal, manufacturing, retail, etc. Implemented state of the art machine learning research papers such as Session-based RecSys using GRU (Tensorflow), Discriminative Localization-Class Activation Mapping (Tensorflow), SVBRDF Acquisition (PyTorch), and more. Expertise in translating business problems to AI solutions and implementing the state-of-the-art models in production. Recipient of Academic Excellence Award at Indian Institute of Technology Hyderabad, India for outstanding performance (given by Human Resource Development Minister of India). Skills: Statistical Machine Learning, Artificial Neural Networks and Deep Learning, CNNs, RNNs, GANs, PyTorch, Tensorflow, Big Data (PySpark and Spark MLlib), Python and R Programming. Area of Interests: Data Science and Machine Learning, Deep Learning and Reinforcement Learning, Representation Learning, Computer Science and Algorithms, Applied Mathematics and Statistics, Optimization Algorithms.

Experience

Playstation

2 roles

Machine Learning Engineer

Sep 2020Present · 5 yrs 6 mos · San Francisco Bay Area

Machine LearningDeep Learning

Machine Learning Engineering Intern

Jun 2020Aug 2020 · 2 mos · San Francisco Bay Area

San jose state university

Graduate Student Research Assistant

Sep 2019Dec 2019 · 3 mos · San Jose, California, United States

  • Implemented DeepLab-V3 image segmentation model for coral images from National Oceanic &
  • atmospheric Administration (NOAA) for automatically identifying different species.
  • Built a segmentation pipeline for labeling data, applying segmentation model, and generating output on new images
DeepLab-V3Image SegmentationData LabelingMachine LearningComputer Vision

Algoanalytics

2 roles

Machine Learning Architect

Apr 2017Aug 2018 · 1 yr 4 mos

  • Responsibilities:
  • Understanding business problems and converting to mathematical problems
  • Understanding and implementing research papers in deep learning
  • Mentoring and guiding data science teams to deliver ML-based solutions
  • Designing and developing solutions for data science problems
Deep LearningMentoringSolution DesignMachine LearningData Science

Data Scientist

Apr 2015Mar 2017 · 1 yr 11 mos

  • Machine Learning, Data Science, Statistical Modeling (supervised and unsupervised models), Artificial Neural Networks, Deep Learning (CNNs, RNNs) and Transfer Learning, End-to-end modeling, R and Python, TensorFlow (Google's Deep Learning Library), Building Data-Driven Products
Statistical ModelingData ScienceMachine Learning

Gs lab

Software Engineer

Aug 2013Oct 2014 · 1 yr 2 mos · Pune

  • Technologies: Python, Javascript, JQuery
  • Front End web development frameworks: AngularJS, EmberJS
  • Web Frameworks: CherryPy (A Minimalist Python Web Framework), Flask (a Python Microframework)
PythonJavaScriptWeb DevelopmentSoftware Development

Iit hyderabad

Teaching Assistant

Aug 2011May 2013 · 1 yr 9 mos · Hyderabad

Education

San José State University

Master's degree — Mathematics and Statistics

Jan 2019Jan 2020

Indian Institute of Technology Hyderabad

Master of Technology (MTech) — Computer Science

Jan 2011Jan 2013

PVG's COET, Pune

Bachelor of Engineering (B.E.) — Information Technology

Jan 2006Jan 2011

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