Anish Rehekwar

Prompt Engineer

Nagpur, MH 0+ yrs exp 87 · Excellent

About

Data Operations and Prompt Engineering professional with hands-on experience in AI-assisted content classification, data annotation, and quality assurance. Currently working at MediaRadar as a Data Associate, using AI tools to classify and review ad content across digital, TV, radio, and print channels. Previously worked on Tesla's AI/ML data annotation project at Randstad, labeling large-scale datasets for autonomous driving model training. Skilled in prompt design, instruction writing, LLM output evaluation, and AI-assisted data workflows — with a strong focus on accuracy, consistency, and process quality.

Skills & Expertise (23)

Claude Intermediate

6.1/10

Years Exp

AI output evaluation Intermediate

6.1/10

Years Exp

Data Annotation Intermediate

6.1/10

Years Exp

GPT Intermediate

6.1/10

Years Exp

Process Documentation Intermediate

5.5/10

Years Exp

Cross-team Collaboration Intermediate

5.5/10

Years Exp

MS Office Suite Intermediate

5.5/10

Years Exp

React JS Intermediate

5.5/10

Years Exp

Git Intermediate

5.5/10

Years Exp

KPI Tracking Intermediate

5.5/10

Years Exp

Data Cleaning Intermediate

5.5/10

Years Exp

Python Intermediate

5.5/10

Years Exp

PowerBI Intermediate

5.5/10

Years Exp

SQL Intermediate

5.5/10

Years Exp

Power Query Intermediate

5.5/10

Years Exp

VLOOKUP Intermediate

5.5/10

Years Exp

PivotTables Intermediate

5.5/10

Years Exp

MS Excel Intermediate

5.5/10

Years Exp

Anomaly Detection Intermediate

5.5/10

Years Exp

validation Intermediate

5.5/10

Years Exp

QA Intermediate

5.5/10

Years Exp

Gtaas Intermediate

4.5/10

Years Exp

Work Experience

Data Associate

MediaRadar

Jul 2026 - Present

Review and classify incoming ad content (digital, TV, radio, print) using AI-powered classification tools to ensure accurate categorization and metadata tagging. Evaluate AI-generated classification outputs for accuracy, flagging errors and inconsistencies to maintain 98%+ data quality benchmarks. Work with structured content pipelines where AI assists in sorting and labeling large volumes of ad data efficiently. Identify patterns in misclassified content and communicate feedback to improve workflow accuracy and reduce error rates below 2%. Collaborate cross-functionally with data teams to document classification rules, edge cases, and quality standards.

Associate Process Executive

Randstad

Oct 2025 - Jun 2026

Performed data annotation for Tesla's AI/ML datasets — labeling images, objects, and attributes required for autonomous driving model training. Maintained high annotation accuracy and consistency across large-scale datasets, directly supporting machine learning pipeline quality. Followed detailed annotation guidelines and quality checklists, ensuring labeled data met AI training standards. Flagged ambiguous or edge-case data points, contributing to cleaner, more reliable training datasets for AI models. Collaborated with QA teams across time zones to meet daily productivity benchmarks and accuracy targets.