Dhivakar Kanagaraj

CTO

Bengaluru, Karnataka, India10 yrs 11 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in deploying deep learning models in production.
  • Led the development of a computer vision team from scratch.
  • Conducted workshops at major AI conferences.
Stackforce AI infers this person is a Robotics and Healthcare expert specializing in Computer Vision and Machine Learning.

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Skills

Core Skills

Machine LearningComputer Vision

Other Skills

RoboticsDeep LearningNVIDIA Edge platformsImage ProcessingDjangoCelerySemantic SegmentationCNNOpenCVSVMPythonSoftware DevelopmentC++LinuxLabVIEW

About

Computer Vision / Machine Learning / Deep Learning / Algorithms - Object classification using traditional ML Techniques - Classification/Localization/Detection/Segmentation using Deep Learning - Class activation map (CAM) based techniques (GradCAM, CNN-Fixations) - Algorithms and Data structures (optimization) - Page alignment using Keypoints detection and matching Software development - Software Development experience in building real-world applications in Python - Deployment of Deep Learning models into production as web service (Celery) - Experience in developing web applications using Django and Flask (Python web frameworks) - Experience in Agile (Scrum) based Software development - Git lover <3 Knowledge sharing - Conducted 2 Workshops as a part of ​ Anthill Inside 2017 and 2018, one of India’s largest Industrial Deep Learning and AI conferences. + 2017 - Machine Learning in Computer Vision​ + 2018 - ML and DL for Computer Vision​​ - Conducted a 2-day workshop on “Computer Vision with Machine Learning​” at PSG Tech, Coimbatore. Interests - Computer Vision, Machine Learning, Deep Learning, Algorithms, Reinforcement learning

Experience

10 yrs 11 mos
Total Experience
3 yrs 7 mos
Average Tenure
6 yrs 2 mos
Current Experience

Niqo robotics

3 roles

Director of AI and Computer Vision

Promoted

Dec 2025Present · 5 mos

Machine Learning Lead

Promoted

Dec 2021Dec 2025 · 4 yrs

  • Team
  • Built the CV/ML team from ground up
  • Designed the Data pipeline and ML Ops pipeline
  • Data collection framework to collect the right data / images from the field for improving the system
  • AI on Edge
  • Optimized the DL models on different NVIDIA Edge platforms
  • Deployed models that run realtime on Edge
RoboticsMachine LearningComputer Vision

Senior Machine Learning Engineer

Mar 2020Dec 2021 · 1 yr 9 mos

  • Crop Detection
  • Developed DL models for detecting different crops
  • In different lighting conditions and at different times of the day
  • Automation in training process to iterate faster on the data-driven experiments

Carl zeiss meditec ag

Research Engineer

Jan 2019Feb 2020 · 1 yr 1 mo · Bengaluru Area, India

  • Fundus images
  • Image quality verification and deployment in low power environments (android, browser etc)
  • GradCAM and CNN-Fixation based visualizer implementation
  • OCT images
  • Pixel level segmentation of Abnormal region (semantic segmentation)
  • Engineering
  • Deployment of Deep Learning model into production systems as web services using Django & Celery
  • Setup Gitlab with the git best practices in place and CI / CD for the web demo projects

Soliton technologies

3 roles

Senior Computer Vision Engineer

Promoted

Jul 2017Dec 2018 · 1 yr 5 mos

  • Responsible for managing multiple projects and delivered quality solutions
  • Aesthetic scoring of Natural images using CNNs
  • KYC Digitizing: Lead a team of Algorithm developers, UI/UX designer, and Front end developers to deliver this demo application
  • Worked on a couple of projects to relentlessly automate mundane things in the workplace

Computer Vision Engineer

May 2015Jul 2017 · 2 yrs 2 mos

  • Page alignment algorithm development using keypoints detection and matching techniques
  • Image processing to localize the characters and extract them for the recognition engine
  • Handwritten character recognition using Deep Learning
  • Push the accuracy further by implementing Graph based algorithms
  • Handle customer interactions, requirement gathering and sprint planning as a project owner

Engineer Intern

Dec 2014Mar 2015 · 3 mos · Bengaluru Area, India

  • Prototype on a home surveillance system
  • Implemented human detection algorithm using HoG + SVM using OpenCV
  • Integrated the algorithm in 3 different platforms
  • + Android
  • + C# based desktop app
  • + Raspberry Pi

Education

Anna University Chennai

Bachelor of Engineering (B.E.)

Jan 2011Jan 2015

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