Chetan Patil

Software Engineer

Bengaluru, Karnataka, India7 yrs 1 mo experience

Highly Stable

Key Highlights

Expert in Computer Vision and Deep Learning applications.
Developed in-house SLAM and Target Tracker for browser.
Passionate educator creating knowledge-rich content.

Stackforce AI infers this person is a Computer Vision and Deep Learning specialist in the SaaS industry.

Contact

Skills

Core Skills

Computer VisionDeep Learning3d GeometrySlamImage Processing

Other Skills

Multiview GeometryLinear AlgebraComputer GraphicsPyTorchOpenCVComputational GeometryOptical Character Recognition (OCR)DjangoJavaScriptNumerical OptimisationMarker TrackingCMakeGitWebAssemblyPython

About

Having a deep flair for Mathematics led me to its applications in Computer Vision. My work spans across Image Processing, Deep Learning, 3D Geometry and 3D Computer Vision. I'm a closet Visionary Artist, a closet Zoologist and a Nature-admirer. The very idea of modeling Nature using Mathematics arrests my Attention. Anddddd I love teaching.

Experience

7 yrs 1 mo

Total Experience

1 yr 8 mos

Average Tenure

2 mos

Current Experience

Qualcomm

Senior Lead Engineer - Computer Vision Systems

Mar 2026 – Present · 2 mos · Bengaluru, Karnataka, India

- 3D Computer Vision

Computer VisionDeep Learning

Blippar

2 roles

Senior Computer Vision Engineer ( 3D Geometry and SLAM )

Oct 2025 – Feb 2026 · 4 mos

• 3D Geometry and SLAM

3D GeometrySLAM

Computer Vision Engineer

Jun 2021 – Oct 2025 · 4 yrs 4 mos

Built Blippar's in-house SLAM and Target Tracker for the browser.
Turning ideas into Code and ship to Production.
Multi-View Geometry, Linear Algebra and Non-Linear Optimisation
Implementation-level knowledge on Computer-Graphics and WebGL based Renderers.

SLAMMultiview GeometryComputer Vision

Opencv university

Computer Vision Engineer ( Deep Learning Research )

May 2020 – Jun 2021 · 1 yr 1 mo · India · Remote

Core staff member for the courses offered by OpenCV.
Creating knowledge-rich step-by-step content/notes for transiting between Object Classification and Object Detection.
In depth and nitty-gritty understanding of RCNN family, SSD and YOLO; right from generating Anchor boxes from scratch to it's Loss Functions.
Theoretical understanding of KeyPoint Detection methods like OpenPose, CornerNet and CenterNet.
In-depth understanding of Pytorch's Autograd module.
Training rudimentary models on Libtorch ( purely for content development) .
Single-handedly supporting the Forum Questions for the Deep Learning and OpenCV Courses.

Deep LearningPyTorchComputer Vision

Artivatic.ai

Computer Vision Developer ( Image Processing / 2D Geometry )

Nov 2019 – Apr 2020 · 5 mos · Bengaluru, Karnataka, India · On-site

Image Processing and OCR for documents, Geometry based logic etc.
Table Detection in documents like Investigation Reports, FIRs and Post-Mortem reports.
Modifying Tesseract source code for utilising various primitive geometrical elements it offers.
Writing geometry logic in pure NumPy.

OpenCVComputational GeometryImage ProcessingComputer Vision

Eye-d

Software Engineer ( Deep Learning Research )

Jan 2019 – Oct 2019 · 9 mos

Built a PoC-level Vision based Guidance system for the Visually-Impaired.
Theoretical understanding of methods like KL Divergence in Optimizing DL models for the Edge and mobile devices.
Research on low dimensional feature-map inspection using methods like Gradient Ascent, GradCAM, Saliency Maps etc.
RnD in Object Detection and Segmentation nuances.
Writing post-processing algorithms in OpenCV and NumPy.

Deep LearningOpenCVComputer Vision