Ravi Kumar

Product Engineer

India7 yrs 6 mos experience

Most Likely To Switch

Key Highlights

Proficient in Full Stack Development with a focus on React and Node.js.
Experienced in Machine Learning and Computer Vision projects.
Strong background in DevOps practices and cloud technologies.

Stackforce AI infers this person is a Full Stack Developer with expertise in AI/ML and DevOps.

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Skills

Core Skills

Machine LearningComputer VisionDeep Learning

Other Skills

Agile Software DevelopmentAnalytical SkillsCCNNCUDACommunicationContent ManagementDNNData AnalyticsData ScienceData VisualizationData preprocessingDenseNetFront-end DevelopmentGit

About

Aggressive Self Learner | Full Stack Developer | Exponential Growth Mindset Frontend - Javascript (ES6+), Typescript, React.js, Redux/Toolkit/Thunk/Saga, NextJS, Sass(scss), Styled-components, Webpack, React Query, Micro-frontend Backend - Node.js, Express, Swagger, RestAPIs, Micro-services, Open API spec, IBM DB2, MongoDB Testing - Cypress (Automation Testing), React testing library (Unit Testing), Jest, Enzyme Devops - Docker, Nginx, Openshift, UCD, Jenkins, Kubernetes, AWS, Azure DevOps Monitoring & Security - Dynatrace, Splunk, Cyberark

Experience

7 yrs 6 mos

Total Experience

1 yr 6 mos

Average Tenure

2 yrs

Current Experience

Experian

Senior Product Engineer

Jun 2024 – Present · 2 yrs · Remote

Publicis sapient

Senior Frontend Developer

Jun 2021 – May 2024 · 2 yrs 11 mos · Remote

Defence research and development organisation (drdo)

Analyst (ReactJS Developer)

Oct 2019 – May 2021 · 1 yr 7 mos · New Delhi Area, India

Agnext technologies

Machine Learning Researcher

Feb 2019 – Oct 2019 · 8 mos · Chandigarh Area, India

Worked on data preprocessing, Object Detection, Object Tracking, Image Classification, Instance Segmentation.
Designed efficient segmentation technique for touching grains.
Built automatic annotation tool for instance segmentation.

Data preprocessingObject DetectionObject TrackingImage ClassificationInstance SegmentationMachine Learning+1

The inkers

Deep Learning Intern

Sep 2018 – Jan 2019 · 4 mos · Bengaluru, Karnataka, India

Worked on CNN, DNN, YOLO for Computer Vision.
Implemented DenseNet (BC 100-12 & 40-12) architecture from scratch.
Achieved state of the art result on CIFAR10 data with augmentation, used lrscheduler.

CNNDNNYOLOComputer VisionDenseNetDeep Learning