Headline

AI Data Annotation Lead | ML Training Data Quality · Computer Vision · Python | Transitioning into Associate AI/ML Engineering

About

I build the data that makes AI systems actually work. As an AI Data Annotation Team Lead at Alendis, I've spent the last 1+ year owning the quality of ML training datasets — designing label schemas, enforcing QA pipelines, and ensuring the ground truth data that AI models learn from is accurate, consistent, and production-ready. What I do: → Lead end-to-end annotation workflows for large-scale ML datasets → Design labeling schemas and QA protocols that directly improve model training accuracy → Collaborate with data science and engineering teams to align annotation output with model requirements → Identify and eliminate systematic labeling errors before they enter the training pipeline Before annotation, I engineered: At Sruhad Technologies, I built a Python-based computer vision system for real-time retail inventory management — implementing a CNN-based object detection pipeline for Out-of-Stock (OOS) and On-Shelf Availability (OSA) detection. — This gave me end-to-end exposure: data collection → model training → production deployment. My edge: Most ML candidates understand models. Very few understand what happens before the model — the labeling decisions, the edge cases, the schema tradeoffs that determine whether a model learns correctly or inherits systematic bias from its training data. I do. Currently: Building ML and computer vision projects in Python to complement my annotation expertise — moving toward Associate AI/ML Engineer roles where data quality and model development meet. 📌 Open to: AI Data Specialist · Senior Data Annotator · AI Trainer (Technical) · Associate AI/ML Engineer Stack: Python · TensorFlow · OpenCV · CNN · NumPy · Pandas · Git

Location

Rajkot

Work experience

Data Annotator - Team Leader at Alendis, Oct 2024 - Present · 1 yr 8 mos, Vadodara, - Promoted to Team Lead overseeing 2 annotators — responsible for annotation quality, schema design, and workflow efficiency across large-scale ML training datasets - Designed labeling guidelines for complex, domain-specific edge cases — directly reducing ambiguous label rate by 70% and improving downstream model training consistency - Enforced multi-stage QA protocols across annotation pipeline — catching systematic labeling errors before they entered model training, reducing rework cycles by 60% - Collaborated with data science and engineering teams to align annotation output with model architecture requirements — bridging the gap between data ops and ML engineering. - Contributed to automation tooling improvements that increased team throughput by [X]% while maintaining annotation accuracy standards. - Managed sensitive datasets under strict data governance protocols.

Software Engineer at Sruhad Technologies Pvt Ltd, May 2024 - Aug 2024 · 4 mos, - Promoted from intern to full-time Software Engineer based on independent delivery and project ownership during internship - Extended and productionized computer vision pipeline for retail AI client — moving from prototype to client-facing deployment - Worked directly alongside ML engineers on model integration, gaining end-to-end understanding of the ML development lifecycle from data → model → production

Python Developer Intern at Sruhad Technologies Pvt Ltd, Jan 2024 - Apr 2024 · 4 mos, - Built a Python-based GUI for real-time retail inventory management — enabling live Out-of-Stock (OOS) and On-Shelf Availability (OSA) detection using computer vision - Implemented CNN-based object detection pipeline to classify shelf states across 1000+ product SKUs — sole developer on application layer, designed for non-technical retail staff - Gained hands-on experience with full ML pipeline: data collection, model training (TensorFlow/Keras), inference, and application integration - Stack: Python · OpenCV · TensorFlow · CNNs · Tkinter/PyQt

Python Developer Intern at Reliution, Jun 2023 - Jul 2023 · 2 mos, Rajkot, - Built foundational ML toolkit proficiency: Pandas, NumPy, Matplotlib, TensorFlow — applied to hands-on mini-projects - Established Python programming foundation that directly enabled later computer vision and ML engineering work

Education

Bachelor of Engineering - BE, Electronics and Communications Engineering, Government Engineering College, Rajkot

H.S.C, Science - A Group, St.Mary's School, Rajkot

Public links

github: https://github.com/jayhadiyal