Shangeth Rajaa
Senior Machine Learning Scientist at Anyreach
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolShangeth Rajaa is a senior machine learning scientist in Bengaluru with 9 years of experience applying computer vision, multimodal AI, and speech technologies to production systems. He currently leads ML research at Anyreach AI, shaping scalable models and practical deployments since 2025. Previously, at ScoreTravel AI he worked on multi-modal LLMs and ranking with LLM reasoning, and at Skit (Vernacular.ai) on end-to-end dialogue systems and prosodic-speech representations. His background spans academia and industry, including NTU Singapore as a research assistant, IBM Research internship, Inria AutoDL collaboration, and roles with Google Explore ML and OpenCV content development. An active open-source contributor, he maintains LearnOpenCV (spmallick/learnopencv) with PyTorch-based object detection and instance segmentation notebooks, featuring Faster R-CNN and Mask R-CNN examples. Shangeth holds a BE in Electrical and Electronics Engineering and an MSc in Mathematics from BITS Pilani, blending rigorous theory with hands-on ML engineering.
9 years of coding experience
6 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
English, Tamil, Hindi
Stackoverflow
21reputation
2kreached
0answers
1question
Github Skills (13)
mask-rcnn10
computer-vision10
pytorch10
opencv10
faster-rcnn10
machine-learning10
deeplearning-ai10
deep-learning10
deep-neural-networks9
python9
object-detection8
instance-segmentation8
tensor6
Programming languages (7)
Github contributions (5)
spmallick/learnopencv
Jun 2019 - Jun 2019
Learn OpenCV : C++ and Python Examples
Role in this project:
ML Engineer
ML EngineerContributions:17 commits, 2 PRs in 7 days
Contributions summary:Shangeth's commits primarily focus on adding and modifying notebooks related to object detection and instance segmentation using pre-trained models in PyTorch. The changes include code for utilizing Faster R-CNN and Mask R-CNN models from the torchvision library. These notebooks demonstrate practical applications in computer vision. The user also added inference image examples and performed updates to the notebooks.
opencv-librarypythondeep-learningopencv3computer-vision
shangeth/shangeth.github.io
Jul 2018 - Jul 2021
Contributions:140 pushes, 1 branch in 3 years
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