Open to opportunities

Alishba Ishrat

@alishbaishrat

Message

I build AI-driven applications, RAG chatbots, and machine learning systems using Python.

Pakistan

Message

What I'm looking for

I'm looking to grow in artificial intelligence while contributing to real-world AI/ML products, LLM applications, automation workflows, and machine learning projects.

I've developed AI/ML solutions at Evolvian Software, including LLM-powered applications and Retrieval-Augmented Generation pipelines using LangChain, embeddings, and vector databases. I focus on model evaluation, data preprocessing, experimentation, and optimization to improve AI-system accuracy, reliability, and efficiency.

Previously, I built React Native mobile applications and an LLM-powered chatbot at NASTP, and delivered sentiment analysis, emotion recognition, YOLO dress classification, ATM card detection, and CNN facial-recognition systems at TPWITS. I hold a BS in Mathematics and enjoy applying Python, machine learning, deep learning, NLP, and automation to real-world projects.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Engineer

Current

Evolvian Software

Jun 2026 - Present (2 months)

Developed and integrated AI/ML solutions using Python, deep learning frameworks, and modern NLP techniques. Built and optimized LLM-powered applications, including RAG pipelines using LangChain, embeddings, and vector databases.

Python Deep Learning NLP Lang Chain RAG Vector Databases Model Evaluation data preprocessing Performance Optimization

AI Developer

National Aerospace Science and Technology Park (NASTP)

Sep 2025 - Nov 2025 (2 months)

Developed cross-platform mobile applications using React Native, integrated backend services like Supabase and Firebase, and implemented an AI-powered chatbot with LLM-based NLP.

React Native Supabase Firebase Backend Development LLM Chatbot Development Mobile Development

Machine Learning Engineer

TPWITS

Jan 2025 - May 2025 (4 months)

Developed and tested machine learning models for real-time applications, including sentiment analysis, emotion recognition, and object detection. Fine-tuned YOLO models and built facial recognition systems.

Machine Learning YOLO Object Detection Facial Recognition CNN Sentiment Analysis