Back to Developers
Arpit S

Arpit S

AI Trainer

Bhopal, MP, India 0+ yrs exp 86 · Excellent

About

Results-driven AI/ML professional with hands-on experience in AI model training, data annotation and labelling, prompt engineering, and data analysis. Skilled in evaluating LLM outputs using RLHF methodologies, designing high-quality prompts, and labelling multimodal datasets (text, image, audio) to improve model accuracy. Proficient in Python, SQL, and Excel for data-driven insights. Adept at identifying model bias, inconsistencies, and failure patterns to drive quality improvements. Experienced contributor to AI pipelines across freelance and professional settings, with a strong understanding of search quality evaluation, ad rating, and content moderation guidelines.

Skills & Expertise (30)

SQL Presentation Skills Clear written & verbal communication Adaptability Attention to Detail Pattern Recognition Critical thinking Statistical Analysis Data visualisation Data Cleaning Google Sheets Pivot Tables VLOOKUP Excel MySql RLHF Seaborn Matplotlib NumPy Pandas Python Gemini Claude GPT Cvat Label Studio Quality assurance Image annotation Red Teaming LLM Evaluation

Work Experience

AI Trainer

TELUS Digital

Nov 2025 - Jan 2026

Reviewed and evaluated 150+ AI-generated responses daily to ensure accuracy, relevance, clarity, and alignment with model guidelines. Provided structured feedback and detailed corrections that contributed to measurable improvements in model output quality. Labelled and categorised text datasets following annotation guidelines to train and fine-tune large language models (LLMs). Identified and documented errors, inconsistencies, and bias in AI outputs, reducing annotation error rate by flagging recurring failure patterns. Collaborated with quality leads to refine labelling guidelines and maintain high inter-annotator agreement scores.

Prompt Engineer Intern

Basal Analytics

Oct 2024 - Nov 2024

Designed, tested, and iterated on 100+ prompts to improve the accuracy and naturalness of AI-generated responses. Experimented with chain-of-thought, few-shot, and zero-shot prompting techniques to optimise LLM output quality across diverse use cases. Analysed model responses systematically and refined prompts based on evaluation results and stakeholder feedback. Worked closely with annotated datasets and project guidelines to ensure consistent AI behaviour across test scenarios. Documented prompt engineering best practices and created reusable prompt templates adopted across the team.

Education

Master of Computer Applications (MCA) — AI/ML Specialisation - Oriental Institute of Science and Technology · Barkatullah University

2024 - · Afghanistan

Bachelor of Science — Computer Science - Barkatullah University

2021 - 2024 · Afghanistan

Certifications

AI Trainer Certification

Micro1 · 2026

Introduction to Generative AI

Google Cloud Skills Boost · 2026

Introduction to Machine Learning

Kaggle · 2026

Interested in this developer?

Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 6/15
💰 Rate 0/5
🏆 Certs 5/5
Verified 5/5
Total Score 86/100

Profile Overview

Member sinceMay 2026