Amna Bibi

AI Engineer focused on building intelligent systems that solve real-world business problems through Generative AI, LLMs, and AI Agents. Experienced in developing RAG applications, multi-agent workflows, and AI automation solutions using Python, LangChain, LangGraph, FastAPI, and vector databases. Passionate about transforming complex AI concepts into practical, scalable products and continuously exploring emerging AI technologies.

AI Engineer - Symtera Technologies - Lahore, Pakistan

(2026-03)

• Database Design & Data Storage – Designed PostgreSQL database schemas and integrated structured data storage into AI workflows using Python.
• Data Cleaning & API Integration – Improved dataset quality and developed FastAPI endpoints to expose and manage database records efficiently.
• Project Planning & Documentation – Led LinkedIn Automation project planning, including PRD creation, requirement gathering, workflow design, and system architecture.
• LinkedIn Automation Development – Engineered a multi-agent automation system for LinkedIn lead generation, data scraping, and automated outreach messaging.

Machine Learning Intern - Elevvo Pathways - Remote

(2026-01 - 2026-03)

• Student Score Prediction – Developed a Linear/Polynomial Regression model for student performance prediction with a full data cleaning and evaluation pipeline.
• Loan Approval Prediction – Implemented a Logistic Regression & DCNN classification model, handling imbalanced data with SMOTE.
• Movie Recommendation System – Built a collaborative filtering system using user-item matrices and matrix factorization.
• Traffic Sign Recognition – Developed a CNN-based traffic sign classifier with image preprocessing and data augmentation.

AI / Deep Learning Intern - DeVvibe - Multan, Pakistan

(2025-06 - 2025-09)

• Developed multiple end-to-end ML/DL applications spanning fraud detection, NLP, computer vision, forecasting, and healthcare AI.
• Built and trained CNN, LSTM, ANN, and Transformer-based models for classification, generation, and time-series tasks.
• Worked extensively with TensorFlow, Keras, Scikit-learn, and BERT across diverse deep learning use cases.
• Applied data preprocessing, feature engineering, model evaluation, and deployment techniques across all projects.

BS - Computer Science - Women University Multan (2021-11 - 2025-07)