---
title: "Jay Hadiyal - Data Annotator - Team Leader in Rajkot | Tal"
description: "Meet Jay Hadiyal, AI Data Annotation Lead | ML Training Data Quality · Computer Vision · Python | Transitioning into Associate AI/ML Engineering based in Rajkot. Explore public work links including github."
image: "https://tal.club/meet/jay-hadiyal/share-image"
---

# Jay Hadiyal on Tal

## 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

[View the original profile](https://tal.club/meet/jay-hadiyal)

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