areeba latif

I’m a motivated AI Engineer & Data Scientist with a deep interest in Generative AI, machine learning, and automation. I enjoy building real-world AI applications, training custom models, and setting up end-to-end workflows that teams can actually use.

In my recent AI internship, I engineered a 3-day Air Quality Index (AQI) predictive model using real-time and historical data streams. I trained, evaluated, and deployed ML pipelines with PyTorch and TensorFlow, and designed a custom feature store to automate data pipelines and model lifecycles.

I also worked on AI-driven automation for software quality assurance, orchestrating modular multi-agent frameworks. By fine-tuning GPT-4o with LangChain and LangGraph and implementing browser automation tests with Playwright, I helped decrease regression testing latency by 60%.

My projects reflect how I like to apply LLMs in practical ways: an autonomous software QA platform using multi-agent validation and Playwright, a RAG institutional chatbot with LangChain and Pinecone, and an Intelligent Social Media Automation engine built with n8n and AI pipelines (including LinkedIn API) that amplified outreach velocity by 4x. I’m eager to collaborate with experienced engineering teams and contribute fresh ideas to impactful technology initiatives.