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Hi, I'm Nabeel Ahmed Qureshi, an AI & ML Engineer with over a year of experience building real-world AI solutions. I've worked on exciting projects like LLM-powered chatbots, trading indicators, and multilingual translation apps using Python, PyTorch, and Hugging Face. My focus is on delivering practical and accurate deep learning models that solve complex problems. I'm passionate about leveraging AI to automate and simplify tasks, from smart trading to property advising. I enjoy collaborating with teams and continuously learning to enhance my skills in machine learning frameworks and cloud deployment. Let's create impactful AI solutions together!…Hi, I'm Nabeel Ahmed Qureshi, an AI & ML Engineer with over a year of experience building real-world AI solutions. I've worked on exciting projects like LLM-powered chatbots, trading indicators, and multilingual translation apps using Python, PyTorch, and Hugging Face. My focus is on delivering practical and accurate deep learning models that solve complex problems. I'm passionate about leveraging AI to automate and simplify tasks, from smart trading to property advising. I enjoy collaborating with teams and continuously learning to enhance my skills in machine learning frameworks and cloud deployment. Let's create impactful AI solutions together!

Nabeel Ahmed Qureshi

AI Engineer, Data Scientist, Developer, +1

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Hi, I'm Nabeel Ahmed Qureshi, an AI & ML Engineer with over a year of experience building real-world AI solutions. I've worked on exciting projects like LLM-powered chatbots, trading indicators, and multilingual translation apps using Python, PyTorch, and Hugging Face. My focus is on delivering practical and accurate deep learning models that solve complex problems. I'm passionate about leveraging AI to automate and simplify tasks, from smart trading to property advising. I enjoy collaborating with teams and continuously learning to enhance my skills in machine learning frameworks and cloud deployment. Let's create impactful AI solutions together!…Hi, I'm Nabeel Ahmed Qureshi, an AI & ML Engineer with over a year of experience building real-world AI solutions. I've worked on exciting projects like LLM-powered chatbots, trading indicators, and multilingual translation apps using Python, PyTorch, and Hugging Face. My focus is on delivering practical and accurate deep learning models that solve complex problems. I'm passionate about leveraging AI to automate and simplify tasks, from smart trading to property advising. I enjoy collaborating with teams and continuously learning to enhance my skills in machine learning frameworks and cloud deployment. Let's create impactful AI solutions together!

Available to hire

Hi, I’m Nabeel Ahmed Qureshi, an AI & ML Engineer with over a year of experience building real-world AI solutions. I’ve worked on exciting projects like LLM-powered chatbots, trading indicators, and multilingual translation apps using Python, PyTorch, and Hugging Face. My focus is on delivering practical and accurate deep learning models that solve complex problems.

I’m passionate about leveraging AI to automate and simplify tasks, from smart trading to property advising. I enjoy collaborating with teams and continuously learning to enhance my skills in machine learning frameworks and cloud deployment. Let’s create impactful AI solutions together!

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Hindi

Advanced

Urdu

Advanced

Work Experience

AI/ML Engineer at TPL Insurance

July 31, 2025 - August 1, 2025

Developed an AI-driven Investment Property Advisor Bot using Crew AI and LLM agents, automating property analysis and delivering personalized recommendations with over 90% decision accuracy. Built a production-grade Text-to-Image generation system using Stable Diffusion and PyTorch, achieving 87% visual relevance accuracy with real-time prompt-based image synthesis. Fine-tuned custom LLM using HuggingFace Transformers and PyTorch on domain-specific dataset, achieving 91% response accuracy across targeted NLP tasks.

Data Science Intern at IT Lands

August 31, 2024 - August 1, 2025

Built a CNN-based deep audio classification system using TensorFlow and Kaggle dataset, achieving 89% classification accuracy across multi-class sound categories. Collaborated with senior data scientists during internship to learn and implement Python-based machine learning and deep learning models for real-world data projects.