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AI Engineer with less than a year in LLM-based chatbot development and NLP solutions.
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Assessing your cultural and operational fit
AI Engineer with experience in LLM-based chatbot development (FastAPI, prompt engineering), GPU-accelerated Speech-to-Text systems (Faster Whisper), and end-to-end NLP solutions. Skilled in REST API development, model deployment, Docker-based deployments, RAG pipelines, and scalable AI application development.
Islamia University of Bahawalpur
BS · Data Science
August 1, 2021 – June 30, 2025
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December 1, 2024 – January 1, 2025
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Dental ChatBot
July 1, 2025 – October 1, 2025
Built an intelligent dental assistant using fine-tuned LLMs to provide oral-health insights and visual dental guidance.
Heart Failure Prediction
December 1, 2024 – January 1, 2025
Created ML models to predict heart failure risk using structured patient datasets; improved detection accuracy through feature engineering and model tuning.
AI-Based Pancreatic Tumor Detection System (FYP)
January 1, 2021 – January 1, 2025
Built an end-to-end medical imaging AI system for pancreas segmentation, tumor detection, and classification from CT scans. Trained deep learning segmentation models and integrated YOLO-based tumor detection. Implemented benign vs malignant classification with automated PDF medical report generation and database storage.
Image Captioning
January 1, 2021 – January 1, 2025
Built a deep learning model using CNN + LSTM to generate descriptive captions for images.
PCB ChatBot
January 1, 2021 – January 1, 2025
Developed a domain-specific chatbot using fine-tuned LLMs for PCB-related queries with context-aware responses.
Cultural Fit Analysis
The candidate's project portfolio includes both academic and professional projects, showcasing a blend of theoretical understanding and practical application. The focus on AI/ML, particularly LLMs and deep learning, aligns well with an AI Engineer role. The diversity of projects (medical imaging, chatbots, predictive analytics) suggests a broad interest and ability to adapt to different problem spaces, which is beneficial for team collaboration and innovation.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying AI technologies, as evidenced by diverse project work and internships. Their experience in developing end-to-end solutions and optimizing models suggests a results-oriented mindset. The variety of projects indicates adaptability and a willingness to tackle different problem domains within AI.