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Akash R KyadigeraAK
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Akash R Kyadigera

@akashrkyadigera

AI Data and Computer Vision QA specialist focused on high-quality dataset delivery.

India
Message

What I'm looking for

I seek remote roles at AI-driven companies where I can improve dataset quality, implement robust QA processes, mentor teams, and contribute to scalable ML and autonomous driving projects.

I am an AI Data & Computer Vision QA Specialist with over four years of experience supporting large-scale machine learning and autonomous driving systems. I have worked remotely with cross-functional teams to produce ML-ready datasets that drive production models.

My expertise spans LiDAR (2D/3D/4D), image and video annotation, cuboid and segmentation labeling, pose estimation, and sensor-fusion datasets. I have contributed to projects including Drive IX, 4DGT Parking, Top View Freespace and specialized scene tagging work.

I have a proven record of delivering over 500,000 labeled frames with under 2% error rate, and I improved dataset accuracy by 15% through structured QA checks and systematic error flagging. I also reduced guideline ambiguity by 20% through collaboration with ML and QA teams and mentored new annotators to raise team productivity.

I am seeking global remote opportunities with AI-driven organizations where I can apply my Human-in-the-Loop, dataset validation, and QA skills to improve model performance and dataset reliability.

Experience

Work history, roles, and key accomplishments

RL
Current

AI Data & Computer Vision QA

Randstad Pvt. Ltd.

Oct 2021 - Present (4 years 8 months)

Delivered and QA-validated multimodal autonomous-driving datasets, annotating 500,000+ frames with <2% error rate and improving dataset accuracy by 15% through structured QA and error analysis. Collaborated with ML and QA teams to refine guidelines, reducing ambiguity by 20%, and mentored new annotators to boost productivity.

Education

Degrees, certifications, and relevant coursework

GP

G.H. Raisoni College of Engineering & Management, Pune

Bachelor of Technology, Computer Engineering

Grade: 7.88 / 10

Bachelor of Technology in Computer Engineering completed with a CGPA of 7.88/10 in 2020.

Tech stack

Software and tools used professionally

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