Juniad Khan

I am a Computer Science graduate with a strong interest in Artificial Intelligence, Machine Learning, and Natural Language Processing. I have hands-on experience developing academic and personal projects, including LLM-based chatbots, Retrieval-Augmented Generation (RAG) systems, and CV extraction modules using tools such as LangChain and Hugging Face Transformers. I am familiar with supervised and unsupervised learning, deep learning concepts, data preprocessing, and basic model evaluation techniques.

AI Engineer - Numla Pvt. Ltd. - Remote

(2024-04 - 2025-07)

• CV Data Extraction & Job Matching – Used Python, SpaCy, and Transformers to parse CVs and match candidates to job roles.
• AI-Based Compensation Tool – Built recommendation systems with Scikit-learn to analyze performance and market data.
• Chatbot Development – Fine-tuned NLP models using TensorFlow and HuggingFace for improved user interaction.
• Computer Vision Applications – Developed vision solutions using OpenCV and PyTorch for real-world tasks.
• NLP & ML Projects – Implemented end-to-end ML pipelines with TensorFlow, NLTK, and FastAPI.

AI Intern - ITSOLERA Pvt Ltd - Onsite

(2024-07 - 2024-10)

Worked closely with the AI team to collaboratively design, develop, and deliver multiple AI-powered products.

• AI-Powered Content Creation Tool – Developed NLP-based models using Python and Transformers for automated content generation.
• AI-Accelerated Target Identification – Built computer vision models using PyTorch for target identification and classification.
• Parenting AI Assistant – Developed a chatbot using TensorFlow and Dialogflow to provide parenting guidance.
• Real-World Evidence Generation for Personalized Treatment – Performed data analysis and model training using Pandas and Scikit-learn for AI-driven treatment insights.

Advanced Programming / Coding (Machine Learning & Data Mining) - NAVTTC – Prime Minister's Youth Skills Development Program

(2024-02 - 2024-05)

• Completed intensive training in Machine Learning algorithms (supervised/unsupervised) using Python, Scikit-learn, and Pandas for model building and evaluation.
• Gained hands-on experience in Data Mining techniques including data preprocessing, feature engineering, and pattern recognition using real-world datasets.
• Developed skills in data visualization and model optimization using NumPy and Matplotlib to support AI-driven decision making.

Bachelor of Science - Computer Science - Gomal University (2019 - 2023-12)