Saumya Rawat

Machine Learning Engineer

Seattle, Washington, United States7 yrs 11 mos experience

Highly StableAI Enabled

Key Highlights

Expert in Computer Vision and Machine Learning.
Proven track record in 3D Semantic Segmentation.
Strong academic background with research experience.

Stackforce AI infers this person is a Machine Learning Engineer specializing in Computer Vision and AI technologies.

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Skills

Core Skills

Machine LearningArtificial Intelligence (ai)Computer VisionDeep Learning

Other Skills

Large Language Models (LLM)Large Language Model Operations (LLMOps)Object DetectionTensorFlowPython3D ReconstructionOpenCVCC++Image ProcessingMatlabUnity3DCSSAngularJSRuby on Rails

About

Currently a Machine Learning Engineer in the Inference Model Generality team at AWS Neuron/Annapurna Labs. Graduated with a Masters from University of Maryland, College Park. I work in Computer Vision. I interned at Magic Leap where I worked on 3D Semantic and Instance Segmentation. At UMD, I worked as a Research Assistant under Prof. Rama Chellappa. I was previously a Teaching Assistant for CMSC 216 under Larry Herman. I completed my Bachelor’s Degree in Computer Science and Engineering from IIIT, Hyderabad, India in May 2018. I did undergrad research in Computer Vision as part of the Honors program in the Center for Visual Information Technology Lab (CVIT) under Dr P. J. Narayanan.

Experience

7 yrs 11 mos

Total Experience

1 yr 7 mos

Average Tenure

1 yr 8 mos

Current Experience

Amazon web services (aws)

Machine Learning Engineer

Oct 2024 – Present · 1 yr 8 mos · Seattle, Washington, United States · On-site

Large Language Models (LLM)Large Language Model Operations (LLMOps)Machine LearningArtificial Intelligence (AI)

Amazon

SDE 2, ML

Aug 2020 – Oct 2024 · 4 yrs 2 mos · Seattle, Washington, United States · On-site

Magic leap

Computer Vision & Deep Learning Intern

Jun 2019 – Aug 2019 · 2 mos · Sunnyvale, California

Worked as a part of the Object Recognition Team, on a novel 3D Semantic Segmentation architecture for indoor scenes using 3D point clouds leveraging geometric and color features which improved average IOU by 54.55

Computer VisionArtificial Intelligence (AI)Deep Learning3D Reconstruction

University of maryland

2 roles

Research Assistant

Promoted

Jan 2019 – May 2020 · 1 yr 4 mos · United States

Worked on Object Detection of vehicles in heterogeneous road traffic scenes in both day-time and night-time and under different weather conditions using Single Shot Object Detectors. (Tensorflow, Python) under Prof Rama Chellappa

Object DetectionTensorFlowPythonComputer VisionMachine Learning

Teaching Assistant

Aug 2018 – Dec 2018 · 4 mos · United States

Teaching TA for Intro to Computer Systems

Northwestern university

Machine Learning Intern

Aug 2017 – Jan 2018 · 5 mos · Remote

Performed an extensive feasibility research for a Youth Mental Health Project and developed a prototype for battery-related features (Android). Developed an OCR engine for medical database documentation. (Tensorflow).

Iiit hyderabad

Teaching Assistant

Aug 2017 – Dec 2017 · 4 mos

Digital Image Processing
Structured Systems Analysis and Design & Project

42hertz inc

Machine Learning Intern

Jun 2017 – Jul 2017 · 1 mo · Bengaluru, Karnataka, India

Conceptualized and created a collaborative filtering recommender system for a large customer dataset with implicit feedback. Improved accuracy by 78% by specifically dealing with sparsity.

Polar bear international

Game Developer

Jan 2014 – Apr 2014 · 3 mos · Hyderabad, Telangana, India

Developed and designed an immersive cross platform game, "Saving The World" on the Unity3D platform with animated models and characters to create awareness against the harmful effects of plastic. (Unity3D, C#)