Fahad Abid

I am an AI/ML Engineer with hands-on production experience in developing, deploying, and optimizing Machine Learning and Generative AI solutions. My expertise lies in Natural Language Processing (NLP), fine-tuning Large Language Models (LLMs), and creating scalable deployment solutions using Python, PyTorch, TensorFlow, and FastAPI. Currently, I am driving automation and reliability improvements at AVENNEX through robust AI systems.

In my role as a Junior AI Engineer at AVENNEX, I have successfully led the design and deployment of NLP models and classification systems, significantly reducing manual processing time by 60%. I have also designed scalable FastAPI-based inference services in Dockerized environments, which reduced latency by 30%. My work includes building Retrieval-Augmented Generation (RAG) pipelines that leverage OpenAI, FAISS, and Pinecone, improving retrieval speed by 70% and orchestrating LangChain agents for decision-making in multimodal workflows, boosting automation by 50%.

Previously, as a Data Analyst Intern at ZAGOP, I automated reporting processes using Tableau and Power BI, cutting weekly reporting time by 50%. I developed regression models that improved demand forecasts by 15% and conducted A/B tests that led to a 20% increase in user engagement across core features. My technical skills encompass a wide range of tools and technologies, enabling me to contribute effectively to any data-driven organization.