Ahmed Nawaz Abbasi

I’m an AI & Machine Learning Engineer with a strong focus on building intelligent, scalable, and user-centric applications using modern Generative AI and LLM technologies. My core strengths lie in natural language processing, deep learning, and deploying real-world AI solutions using tools like OpenAI, LangChain, HuggingFace, and Ollama.

Over the past few years, I’ve developed several impactful GenAI projects including:

• An AI Resume Analyzer that offers personalized insights using LLMs (LangChain + Groq)

• A Product Ideator powered by LLMs that generates startup ideas with tech stack guidance

• A local chatbot using Ollama and FastAPI with real-time Streamlit UI

• A search engine built with LangChain and custom scraping for query-based content retrieval

In addition to GenAI, I’ve also built classical ML solutions such as customer churn prediction systems and medical diagnosis tools (e.g., cirrhosis staging) using Scikit-learn, XGBoost, and MLflow.

I'm highly skilled in:

• Python, SQL

• Streamlit, FastAPI, Git, MongoDB

• ML libraries: TensorFlow, Scikit-learn, XGBoost

• LLM tooling: LangChain, HuggingFace, OpenAI, Ollama

Currently pursuing a B.S. in Data Science, I am deeply passionate about creating AI-powered tools that solve real-world problems, automate workflows, and enhance decision-making. I thrive in remote-first, collaborative environments where innovation and impact are key.

I’m actively looking for remote opportunities where I can contribute to AI-driven products, LLM integrations, or machine learning systems — particularly in roles that combine research, development, and end-user delivery.