Gautam Gare

Product Engineer

Pittsburgh, Pennsylvania, United States2 yrs 9 mos experience

Highly Stable

Key Highlights

Expert in vision-language models for medical imaging.
Strong background in deep learning and computer vision.
Proven track record in research and development.

Stackforce AI infers this person is a Healthcare-focused AI Researcher with expertise in Computer Vision and Deep Learning.

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Skills

Core Skills

Computer VisionDeep LearningData ScienceSoftware Development

Other Skills

Video UnderstandingSemantic SegmentationAction Recognition3D Human Pose EstimationData AnalysisDashboard DevelopmentAndroid DevelopmentUI DevelopmentRAndroid StudioStreaming MediaRoboticsMobile RoboticsAutonomous Vehicles

About

I am a fifth-year Ph.D. student at Carnegie Mellon University, Robotics Institute, advised by Prof. John Galeotti and Prof. Deva Ramanan. My research focuses on developing causally-grounded and interpretable vision–language models (VLMs) for medical imaging. I design frameworks that align neural representations with clinician-understandable biomarkers, using causal discovery and contrastive learning to improve reliability, transparency, and generalization across patients and modalities. I obtained my Master's degree in Electrical and Computer Engineering at CMU in December 2020. Before coming to the US, I obtained my Bachelor of Engineering Degree in Electronics and Communications Engineering from B. M. S. College of Engineering, India. Technical Skills: Computer Vision | Vision-Language Models | Artificial Intelligence | Deep Learning | Video Understanding | Machine Learning | Image Processing | PyTorch | Python | Java | C++ | MATLAB

Experience

Carnegie mellon university

3 roles

Graduate Teaching Assistant

Jan 2022 – May 2022 · 4 mos · Pittsburgh, Pennsylvania, United States

Graduate TA for “16-720B - Computer Vision” course under Prof. Deva Ramanan during Spring, 2022.

Graduate Research Assistant

Aug 2021 – Present · 4 yrs 7 mos · Pittsburgh, Pennsylvania, United States

Graduate Teaching Assistant

Aug 2021 – Dec 2021 · 4 mos · Pittsburgh, Pennsylvania, United States

Graduate TA for “16-720A - Computer Vision” course under Prof. Srinivasa Narasimhan during Fall, 2021.

Dawnlight

Computer Vision Research Intern

Jun 2021 – Aug 2021 · 2 mos · Palo Alto, California, United States

Computer Vision and Deep Learning researcher working on Human Action recognition in medical and assisted living setups, under manager Hadi Kiapour while being advised by Prof. Fei-Fei Li and Prof. Ehsan Adeli.

Computer VisionDeep Learning

Carnegie mellon university

4 roles

Research Associate

Feb 2021 – May 2021 · 3 mos

Computer Vision and Deep Learning researcher with a focus on video understanding and tracking at the Image Science Lab under Prof. Aswin C. Sankaranarayanan. Working on Action Recognition on untrimmed videos as part of the ongoing ActEV (Activities in Extended Video) 2021 competition by NIST under Prof. Aswin C. Sankaranarayanan and Prof. Deva Ramanan.

Computer VisionDeep LearningVideo Understanding

Graduate Research Assistant

May 2020 – Jan 2021 · 8 mos

Advisor: Prof. Aswin C. Sankaranarayanan and Prof. Deva Kannan Ramanan
Working on Action Recognition on untrimmed videos as part of the ongoing ActEV (Activities in Extended Video) 2020 competition by NIST.

Deep LearningAction Recognition

Graduate Research Assistant

Dec 2019 – Aug 2020 · 8 mos

Advisor: Prof. Anthony Rowe
Worked on Multi-Person 3D Human Pose estimation based on OpenPose and DensePose Deep learning techniques.

Deep Learning3D Human Pose Estimation

Graduate Research Assistant

Sep 2019 – May 2021 · 1 yr 8 mos

Advisor: Prof. John Galeotti
Working on Deep Neural Network based Semantic Segmentation techniques applied to Ultrasound Images.

Deep LearningSemantic Segmentation

Sling media

2 roles

Senior Data Scientist

May 2019 – Jul 2019 · 2 mos

Part of the team which analyzed customer trends and predicted the churn rate with an accuracy of 85%. In charge of building out analytical dashboards to project various trends and analysis outcomes. Worked on feature modeling to analyze customer trends.

Senior Software Developer

Jul 2016 – Apr 2019 · 2 yrs 9 mos

Lead the development of the UI interface of Sling TV Android App for AirTV Player platform. Part of the core design and development team of the OTA DVR Services. Improved image caching mechanism and reduced startup time by 20% for Sling TV Android App.

Data AnalysisDashboard DevelopmentData Science

Indian institute of engineering science and technology (iiest), shibpur

Summer Research Fellow

Jun 2015 – Jul 2015 · 1 mo · Kolkata Area, India

Developed a real-time working model of a teleoperated robot, which replicates the actions of a human arm captured via an RGB+D 3D camera. Conducted a comparative study of various Inverse Kinematics for real-time application of teleoperation and concluded that the Jacobian Transpose Inverse method is better than the Jacobian Pseudo Inverse Method and Cyclic Coordinate Descent Method.

Android DevelopmentUI DevelopmentSoftware Development