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Himanshu Nayar

Machine Learning Engineer

San Francisco, California, United States11 yrs 6 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • 8+ years of industry experience in ML.
  • Led multiple successful ML projects from research to productization.
  • Expertise in computer vision and natural language processing.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in Automotive, Retail, and Healthcare sectors.

Contact

Skills

Core Skills

Computer VisionMachine LearningNatural Language ProcessingArtificial Intelligence

Other Skills

3D geometryPyTorchMultimodal Deep LearningTensorFlowApache OozieApache AirflowEngineeringDistributed TrainingDeep LearningData ScienceStatistical Data AnalysisResearchMatlabRPython

About

I am an applied ML researcher/engineer with 8+ years of industry experience and 5+ years of academic experience. I have had a chance to work on multiple ML projects in different stages of productization, ranging from 0-to-1 exploratory research projects to 1-to-n scale-ups and downstream product integrations in computer vision and natural language domains in multiple industries.

Experience

11 yrs 6 mos
Total Experience
2 yrs 3 mos
Average Tenure
--
Current Experience

Motional

Senior Machine Learning Engineer

Sep 2023Jun 2024 · 9 mos · San Francisco Bay Area · Hybrid

  • Worked as a part of the Perception team on multi-view object BEV detection.
  • Led research, experimentation and prototyping efforts for temporal modelling using SOTA techniques, leading to a performance improvement in detection metrics of 10% and box regression error metrics by 5%.
  • Implemented data and training pipelines with increased throughput, leading to a cost reduction of 30%.
  • Deployment using the TensorRT framework.
3D geometryPyTorchComputer VisionMachine Learning

Meta

Senior Machine Learning Engineer

Jun 2022Jul 2023 · 1 yr 1 mo · Menlo Park, California, United States

  • Worked on the joint topic/subtopic modelling pipeline as a part of the Multi Modal Content Understanding Team.
  • Prototyped modeling improvements using SOTA model architectures, loss functions and training techniques.
  • Shipped feature engineering, measurement and benchmarking frameworks.
  • Product integration with ranking and retrieval applications on major Meta surfaces.
Multimodal Deep LearningPyTorchMachine LearningNatural Language Processing

Target

Lead AI Scientist

Oct 2020Jun 2022 · 1 yr 8 mos · Minneapolis, Minnesota, United States

  • Worked in the areas of Demand Forecasting and Personalization.
  • Designed the model selection pipeline for the demand forecasting engine, geared towards improving statistical performance and computational costs of the existing model.
  • Developed a RL based model for personalizing guest experiences on the digital platform and deployed using a microservice architecture.
PyTorchTensorFlowMachine LearningArtificial Intelligence

3m

Data Scientist

Oct 2017Sep 2020 · 2 yrs 11 mos · Minnesota, United States

  • Worked on projects with cross functional teams bringing cutting edge research to solve business problems
  • Developed and researched AI models in areas such as computer vision, generative modelling, reinforcement learning, 3D computational geometry and geometric deep learning.
  • Headed the deployment and productization of AI features for the Oral Care Solutions Division at 3M.
  • Application for 22 patents.
TensorFlow3D geometryComputer VisionMachine Learning

University of michigan

2 roles

Graduate Student Instructor

Jan 2015May 2015 · 4 mos

  • I am teaching Introduction to Probability (EECS 301) to undergraduate students. As a part of my job, I have to design tutorials and precede weekly discussions.

Graduate Student Research Assistant

Sep 2012Oct 2017 · 5 yrs 1 mo

  • Research work on applying techniques leveraging recent results from Random Matrix Theory to low rank matrix completion and subspace estimation problems in the multi modal setting.

Education

University of Michigan

Doctor of Philosophy (Ph.D.)

Jan 2012Jan 2017

Indian Institute of Technology, Delhi

Bachelor’s Degree — Electrical and Electronics Engineering

Jan 2008Jan 2012

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