Wali Nasir

AI/ML Engineer with hands-on experience building LLM-powered applications, RAG pipelines, and agentic AI systems using LangChain, LangGraph, and FAISS. Proficient in Python, Scikit-learn, XGBoost, and TensorFlow for end-to-end ML development. Experienced in integrating AI models with REST APIs, vector databases, and automation workflows. Detail-oriented problem solver focused on building scalable, production-ready AI solutions.

Data Scientist - Trainee at Convergent Business Technologies (2026-02 – 2026-05)

• Built and deployed ML classification and regression models in Python achieving ~90% accuracy across 3M+ data points
• Developed automated data pipelines for ingestion, preprocessing, and downstream AI model integration
• Performed large-scale EDA using Pandas and NumPy; delivered Tableau dashboards communicating insights to stakeholders

Cloud Engineer Intern at Huawei (2025-09 – 2025-12)

• Automated cloud workflows using Python scripting, integrating AI-driven automation with cloud APIs and backend systems
• Worked with cloud infrastructure supporting scalable AI and data-intensive workloads in production environments
• Monitored deployed services; participated in debugging, testing, and performance improvement cycles

Bachelor of Science in Electrical Engineering – UET Taxila (2021 – 2025)