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Laiba SaeedLS
Open to opportunities

Laiba Saeed

@laibasaeed

Junior AI Engineer building RAG-powered apps and ML models to turn data into insights.

Pakistan
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What I'm looking for

I’m looking for a role where I can build AI features with LLMs and RAG, ship FastAPI backends, and apply ML/NLP to real products—while growing my skills in data analysis and model engineering.

I’m a Junior AI Engineer who built AI logic for the “Dear Diary” app, enabling personalized responses from users’ past journal entries using a Retrieval-Augmented Generation (RAG) approach.

I developed backend APIs with FastAPI (including Google OAuth) and contributed mood-based insights and weekly summaries. I also work with ML and NLP—fine-tuning LLMs with BERT, BART, and GPT-3—plus computer vision using GANs for shadow removal.

Experience

Work history, roles, and key accomplishments

CC

Project Trainee

Capital Development Authority (CDA)

Aug 2025 - Jan 2026 (5 months)

Supported GIS and water supply data analysis work at the Centre for Intelligent Systems and Network Research (CISNR) and assisted with database management tasks. Contributed to research and data-handling activities in a remote internship capacity.

Education

Degrees, certifications, and relevant coursework

University of Engineering and Technology Peshawar logoUP

University of Engineering and Technology Peshawar

Bachelor of Science in Computer Systems Engineering, Computer Systems Engineering

2021 - 2025

Activities and societies: AI-Powered Dear Diary Chatbot (RAG & LLMs); Shadow removal from images using GANs; Healthcare and human survival predictions (ML models incl. diabetes, breast cancer, Titanic, house price, energy consumption); NLP/ML experimentation with feature engineering and clustering.

Earned a BS in Computer Systems Engineering from UET Peshawar, completing AI- and ML-focused projects including a RAG/LLM diary chatbot, shadow removal using GANs, and multiple healthcare prediction models.

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