Bhavesh Garg

AI Researcher

India4 yrs 3 mos experience

Most Likely To Switch

Key Highlights

Presented at CVPR 2024.
Expertise in medical imaging and clinical AI.
Proven ability to train complex AI systems.

Stackforce AI infers this person is a Machine Learning Engineer with a focus on Healthcare and Automotive industries.

Contact

Skills

Core Skills

Deep LearningAutonomous VehiclesDigital Image ProcessingImage Processing

Other Skills

AutoCADC (Programming Language)C++LeadershipMATLABMatlabMicrosoft OfficeOpenCVOrigamiPyTorchPython (Programming Language)

About

ML Engineer who's been everywhere: medical imaging, self-driving cars, clinical AI 🚗🏥🤖 | CVPR 2024 oral presenter Proof that you can job-hop strategically and still end up somewhere meaningful. Currently at QureAI making AI that doctors actually trust.

Experience

Qure.ai

AI Scientist

Jan 2025 – Present · 1 yr 2 mos · Bengaluru, Karnataka, India · On-site

Robot learning lab, university of freiburg

Research Assistant

Jun 2024 – Oct 2024 · 4 mos · Freiburg, Baden-Württemberg, Germany · On-site

Career break

Travel

Feb 2024 – May 2024 · 3 mos

Backpacking across North India,
Skiing,
Lawn Tennis

Wadhwani ai

Associate ML scientist-1

Jan 2023 – Jan 2024 · 1 yr · New Delhi, Delhi, India · On-site

Five ai

Research Engineer (intern)

Aug 2022 – Dec 2022 · 4 mos · Cambridge, England, United Kingdom · On-site

Multi-model perception system
Trained state-of-the-art multi-model perception system for object detection in autonomous driving systems
Designed a novel loss function for depth classification using LIDAR scans and camera images

Python (Programming Language)Deep LearningAutonomous VehiclesPyTorch

Medal lab, iit bombay

Graduate Student Researcher

Jul 2021 – Jun 2022 · 11 mos · Mumbai, Maharashtra, India · On-site

Fast and Lightweight Super Resolution with Modular Adapters (Master's thesis)
Proposed modular CNN models for single image super resolution (SISR) in real-world settings
Designed domain-shift adapters, combined with SOTA SISR architectures to show improvements on new data
Leveraged self-supervised and meta-learning algorithms to make the training computationally inexpensive

Python (Programming Language)Deep LearningPyTorchDigital Image Processing

Indian institute of technology, bombay

Graduate Teaching Assistant

Jul 2021 – Nov 2021 · 4 mos

Course: Speech Processing

Cardiff university / prifysgol caerdydd

Summer Research Intern

May 2021 – Nov 2021 · 6 mos · Remote

Advisors: Prof. Paul Rosin, Prof. Yipeng Qin
Project: Evaluation of Image Downscaling algorithms
Proposed a novel measure to quantitatively evaluate Image Downscaling algorithms using Generative models
Leveraged stochastic generative models for super resolution to produce diverse HR images for an LR image
Tested the method on traditional and SOTA downscaling methods; Co-authored paper in a top-tier conference

Python (Programming Language)Deep LearningPyTorchDigital Image Processing

Medal lab, iit bombay

Undergraduate Research Assistant

Jun 2020 – Apr 2021 · 10 mos

Supervisor: Prof. Amit Sethi,
Projects: Speech de-reverberation, MRI Super Resolution

Qualcomm

Summer Engineering Intern

May 2020 – Jul 2020 · 2 mos · Hyderabad, Telangana, India · Remote

Camera systems team - HDR image processing
Objective: Multi-Exposure High Dynamic Range imaging using deep learning in mobile photography
Designed Encoder-Decoder based CNN models for supervised and self-supervised learning based algorithms
Developed a Pytorch script for calculating differentiable no-reference SSIM loss for self-supervised learning

Python (Programming Language)MATLABDeep LearningImage ProcessingPyTorch