Umer Chaudhary

AI/ML Engineering student (7th semester, CGPA 3.23/4.00) at University of Central Punjab with hands-on experience building machine learning, NLP, and LLM-based systems. Completed an internship developing supervised and deep learning models, and independently built RAG pipelines, fine-tuned transformer models, and AWS cloud infrastructure. Seeking an entry-level opportunity to apply ML and LLM engineering skills to real-world problems.

Machine Learning Intern - All Zone Technology

(2024-01 - 2024-03)

• Engineered Python-based preprocessing and feature engineering pipelines on structured datasets of 10K–100K records, reducing data preparation time for downstream model training.
• Trained and evaluated supervised ML models (Linear Regression, Decision Trees, Random Forest) using Scikit-learn, achieving 87% accuracy on a multi-class classification task.
• Built LSTM/GRU networks for time-series forecasting and implemented attention/Transformer architectures for sequence-to-sequence tasks.
• Fine-tuned BERT-based models for text classification, sentiment analysis, and named entity recognition on domain-specific corpora.

B.S. - Computer Science - University of Central Punjab (2023 - 2027)