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AI Engineer with less than a year in Machine Learning & LLM Applications
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate with strong communication and problem solving skills. Possesses knowledge of IT systems, AI, ML, Databases, System Support and strong communication skills. Seeking an opportunity in a reputable organization to contribute to organizational success while further developing my professional and technical skills.
SZABIST (Shaheed Zulfikar Ali Bhutto Institute of Science and Technology)
Bachelor of Science · Computer Science
February 1, 2022 – February 1, 2026
Loan Approval Prediction
February 1, 2022 – February 1, 2026
Developed a ML model to predict whether loan would be approved or reject. Clean the dataset, handled missing values, perform the EDA, Feature Engineering. Using two different Algorithms to compare the accuracy. Achieved 88%+ accuracy on unseen data. Create an interactive Streamlit dashboard for easy to use.
RAG-Based AI Chatbot
February 1, 2022 – February 1, 2026
Built a chatbot that understands uploaded PDF documents and answers user queries using a local LLM with a full RAG pipeline. Wired up semantic search through embeddings and a vector database so the right information gets pulled every time not just the closest keyword match. Applied prompt engineering techniques to improve response relevance and reduce hallucinations
AI Language Translator
February 1, 2022 – February 1, 2026
Built an AI-powered language translator converts between English and Urdu using LLM. Integrated Groq API and LLaMA based models to keep translate fast and improve accuracy. Create interactive UI and deployed the application on Hugging Face Spaces.
Generative AI Application Developer
UTIEANS Lahore Endowment Foundation, USA
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying new technologies in the AI/ML domain. The academic projects show initiative and a desire to build practical applications. The focus on Generative AI and LLM applications aligns well with an AI Engineer role. However, the lack of professional experience or diverse team projects limits the ability to fully assess cultural fit beyond technical alignment and self-driven learning.
Soft Skills & Operational Fit
The candidate's resume highlights strong communication and problem-solving skills. The project descriptions indicate an ability to take projects from conception to deployment, suggesting good operational fit for development roles. However, without specific behavioral assessment data or interview insights, a comprehensive evaluation of soft skills and operational fit is limited.