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Prompt Engineer with 1+ years in Data Science & LLM Development
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year BS Data Science student at The Islamia University of Bahawalpur with hands-on experience designing and evaluating AI-powered systems using ChatGPT, Claude, and Gemini. Passionate about prompt engineering, large language models, and generative AI. Proven ability to craft targeted prompts, analyse model outputs, and iterate rapidly to improve performance — backed by freelance delivery experience and multiple end-to-end LLM projects.
The Islamia University of Bahawalpur
BS Data Science
August 1, 2022 – June 30, 2026
Upwork
Freelance Data Analyst
January 1, 2025 – Present
India
CNN + Tabular Fusion for CKD Detection
January 1, 2026 – December 31, 2026
Applied Grad-CAM and SHAP to generate human-readable visual and textual explanations of model predictions — a skill directly transferable to AI output evaluation and documentation.
Personal AI Buddy
January 1, 2025 – December 31, 2025
Engineered a multi-turn conversational AI assistant powered by large language models with a persistent memory module using FAISS vector database for RAG. Designed and iteratively optimised system prompts, context windows, and retrieval strategies to ground responses and reduce hallucinations. Implemented emotion-aware prompt adaptation - dynamically adjusting tone and style based on a lightweight sentiment classifier applied to user input. Built task-management features (reminders, note summarisation, knowledge-base Q&A), demonstrating end-to-end AI product development skills. Packaged the full solution in a Streamlit chat interface, enabling real users to interact with and provide feedback on AI-generated responses.
AI-Driven Student Dropout Early Warning System
January 1, 2025 – December 31, 2025
Designed a Streamlit-based product that accepts CSV uploads and generates colour-coded AI-driven risk reports - demonstrating prompt-to-product thinking. Generated SHAP-based natural-language explanations per student, translating complex model outputs into clear, actionable educator guidance.
Natural Language Processing with Transformers
Hugging Face / Coursera
June 1, 2026 – Present
Python for Data Science and Machine Learning
Coursera / Udemy
June 1, 2026 – Present
Data Analysis with Pandas
Online Certification
June 1, 2026 – Present
SQL for Data Science
Online Certification
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to applying AI concepts to real-world problems (e.g., AI-Driven Student Dropout Early Warning System). Their freelance work indicates an ability to work independently and collaboratively in a distributed environment, suggesting a good fit for flexible work cultures. The breadth of skills across AI platforms, LLM techniques, and programming languages shows a strong learning aptitude and willingness to explore diverse tools, which aligns well with innovative and fast-paced teams.
Soft Skills & Operational Fit
The candidate exhibits strong analytical thinking, problem-solving, and written communication skills, which are crucial for a Prompt Engineer role. Their freelance experience highlights adaptability, deadline discipline, and remote collaboration capabilities. The ability to translate complex model outputs into natural language explanations (SHAP-based) is a significant asset for documenting and communicating prompt engineering outcomes.