Rishi Rajkumar
AI Developer And Consultant at Anodet Inc.
Barcelona, Catalonia, Spain
Summary
👤
Senior🎓
Top SchoolRishi Rajkumar is an AI developer and consultant with a decade of experience building and deploying computer vision and ML solutions for businesses and governments worldwide. Ranked in the top 3% of Upwork consultants and a Top-Rated Plus freelancer, he has delivered $500k+ in consulting revenue, over 10,000 billable hours, and a 100% job success score. His work spans production-ready architectures—from transformers and YOLO to rPPG-based vitals estimation that achieved ±5 bpm accuracy across 1,000+ subjects—and includes managing large annotation teams and lifecycle data for massive video datasets. Rishi combines classical statistical methods with modern deep learning and MLOps practices to turn R&D into repeatable, budget-conscious products, achieving a 40% conversion from short trials to long-term engagements. Based in Barcelona, he partners internationally across time zones and is known for practical experiment tracking, automation, and clever image-augmentation tricks that clients highlight as high-impact.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Technology (B.Tech.), Information Technology, Bachelor of Technology (B.Tech.), Information Technology at Hindustan Institute of Technology and Science, Kancheepuram
English, Tamil
Stackoverflow
23reputation
3kreached
0answers
1question
Github Skills (60)
breast-cancer10
semantic-segmentation10
image-segmentation10
segmentation10
image-processing9
imagenet9
pytorch9
cancer-detection9
segformer9
computer-vision9
rnn-tensorflow8
object-detection8
cli8
market-prices8
pose-estimation8
Programming languages (4)
Github contributions (5)
rishiswethan/pytorch_utils
May 2023 - Apr 2024
Contributions:9 releases, 14 pushes, 1 branch in 11 months
rishiswethan/Cancer-detection-using-CNN
Jan 2018 - Feb 2018
This CNN is capable of diagnosing breast cancer from an eosin stained image. This model was trained using 400 images. It has an accuracy of 80%
Contributions:1 review, 9 commits, 1 PR in 16 days
cancer-detectionbreast-cancerdeep-learningneural-networkscancer
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