Taj M.

Key Skills

Software

Other

Top Subject Matter

AI prompt engineering and LLM output evaluation

Agentic AI architecture and custom assistant prompting

LLM prompt engineering and agentic AI

Top Data Types

Text

Top Task Types

Prompt + Response Writing (SFT)

Classification

Entity (NER) Classification

Freelancer Overview

Coursera – ChatGPT Advanced Data Analysis (coursework). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Technology, Lovely Professional University (2026) and Higher Secondary School Certificate, Rahmania HSS (2021). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT), Classification, and Named Entity Recognition.

Labeling Experience

Lead Generation and AI Outreach Platform Developer - LeadGenius AI

TextClassificationEntity (NER) Classification

Led development of a B2B sales intelligence and AI outreach platform focused on lead discovery, evaluation, and automated personalization. Built product features using modern web development and AI API integrations with attention to usability and performance. Applied AI lead scoring logic and outreach generation workflows requiring data-driven thinking and prompt-based automation.• Built an AI-powered system to discover high-value companies and qualify leads using company insights.• Implemented an AI lead scoring model on a 1–100 scale using growth, industry fit, size, and hiring signals.• Designed an outreach generator to produce hyper-personalized email and LinkedIn messages from qualification signals.• Developed lead management UI features, real-time updates, and SaaS-like dashboard functionality using React and Supabase.

2026 - Present

Coursera – Prompt Engineering for ChatGPT; Coursera – AI Agents and Agentic AI Architecture in Python

OtherTextPrompt + Response Writing (SFT)

Completed prompt engineering and AI agents architecture coursework focused on building higher-quality LLM interactions. Practiced designing prompts that elicit desired behaviors and structured outputs from language models. Covered agentic design patterns that support evaluation and iterative refinement of AI responses. • Prompt engineering for ChatGPT style interactions • Agentic AI architecture concepts • Prompt-driven task structuring • Quality improvement via iteration

2025

Coursera – OpenAI GPTs: Creating Your Own Custom AI Assistants; Coursera – GenAI For Everyone (coursework)

OtherTextPrompt + Response Writing (SFT)

Completed coursework on creating and designing agentic AI and custom GPT assistants, emphasizing instruction design for reliable model behavior. Worked through curriculum content that involved defining goals, constraints, and interaction patterns for AI assistants. Used prompt and configuration concepts to support generation and evaluation of assistant responses. • Designing prompt/assistant behavior patterns • Creating custom AI assistant concepts • Applying evaluation-oriented prompt thinking • Understanding agentic architecture principles

2024

Coursera – ChatGPT Advanced Data Analysis (coursework)

OtherTextPrompt + Response Writing (SFT)

Built and practiced prompt-driven workflows for advanced AI analysis using the ChatGPT Advanced Data Analysis coursework. Applied prompt engineering concepts to structure inputs and evaluate AI outputs for analytical tasks. Focused on translating user intent into effective prompts to improve response quality and consistency. • Prompt engineering techniques for data analysis scenarios • Structuring prompts for clearer task definition • Evaluating response quality from AI outputs • Iterating prompt wording to improve results

2024

Education

Work History