Asif Nice

AI Engineer specializing in LLMs, RAG systems, and Agentic AI applications. Experienced in building end-to-end machine learning pipelines, multi-agent systems, and production-ready AI applications. Skilled in LangChain, LangGraph, FastAPI, FAISS, and deep learning frameworks with a strong focus on scalable AI solutions and real-world deployment.

AI Engineer / Machine Learning Developer

(2025-01)

• Developed Retrieval-Augmented Generation (RAG) HR Chatbot using FastAPI, LangChain, and FAISS enabling semantic document search and context-aware responses.
• Built AI-powered Movie Recommendation Agent with LangGraph and real-time web search for dynamic and personalized recommendations.
• Designed ML pipelines using Scikit-learn with PCA, GridSearchCV, and Random Forest for optimized model performance and evaluation.
• Implemented deep learning image classification system using Transfer Learning (InceptionV3) achieving high validation accuracy.
• Performed large-scale data preprocessing, feature engineering, and EDA on real-world datasets.
• Built end-to-end AI/ML systems including model training, evaluation, API deployment, and integration.

Bachelor of Science - Computer Science - Virtual University of Pakistan (2019 - 2024)