Abhishek Annamraju
Senior Product (AI) Manager at Aerchain
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolAbhishek Annamraju is a Senior Product (AI) Manager with over a decade of experience delivering industrial machine vision and AI solutions, currently driving product and value engineering at Aerchain and previously at Flutura/Accenture. He led the design and product ownership of the Cerebra Vision Intelligence Platform, architecting a shift to microservices and a no-code lifecycle engine that accelerated prototyping and deployment by an order of magnitude. Hands-on in research and engineering, he has implemented low-code object-detection pipelines and backend deep-learning tooling in open-source projects like Monk, and has deployed high-accuracy vision systems in extreme industrial conditions. He combines product strategy, presales, and technical delivery—translating sensor-to-edge solutions into measurable business outcomes such as rapid quality improvements on production lines. An avid educator and speaker, he publishes on industrial vision, MLOps, and ethical AI practices, and has been recognized as a Most Influential Young Data Scientist and a Google Summer of Code Scholar.
12 years of coding experience
8 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceElectronics, Electronics at Dinanath Junior CollegeHigh School, High School at Narayana Vidyalayam,Nagpur
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
object-detection10
computer-vision10
machine-learning10
gluon10
deep-learning10
python10
optimizers9
optimizer9
keras9
loss-functions9
pytorch9
tensorflow8
Programming languages (5)
Github contributions (5)
Tessellate-Imaging/Monk_Object_Detection
Dec 2019 - Oct 2020
A one-stop repository for low-code easily-installable object detection pipelines.
Role in this project:
ML Engineer
ML EngineerContributions:701 commits, 29 PRs, 635 pushes in 9 months
Contributions summary:Abhishek contributed to the implementation of a GluonCV based object detection pipeline for fine-tuning purposes. Their work included adding a new class with a flexible structure for integrating GluonCV finetuning, defining dataset parameters, writing a function for converting labels to the required format, and adding a function to utilize the network and infer on test images with visualization options. These changes enabled a modular and user-friendly framework for object detection tasks using GluonCV models.
pytorchdeep-learningobject-detection-pipelinesstoplow-code
Tessellate-Imaging/monk_v1
Nov 2019 - Oct 2020
Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.
Role in this project:Backend Developer
Backend DeveloperContributions:365 commits, 51 PRs, 353 pushes in 11 months
Contributions summary:Abhishek's contributions are centered around implementing and maintaining core functionality within the `monk_v1` repository, a deep learning tool. The commit messages indicate involvement in optimizing existing modules and integrating new features, specifically around optimizers, schedulers, losses and layers. The code changes show interaction with key components of the deep learning framework with focus on the backend implementations.
study-roadmapsvisionmachinelearningdeep-learninglearning-tool
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