WELCOME

Fahad Nawaz Khan Creative Product Engineer

DEVELOPMENT DESIGN STRATEGY

I craft elegant and intuitive digital products that solve real problems. Combining creative design with solid engineering to bring ideas to life and drive business results.

Fahad

About Me

I am currently pursuing a B.Tech in Computer Science Engineering with a specialization in Artificial Intelligence and Machine Learning at Lords Institute of Engineering and Technology, Hyderabad.

My technical interests revolve around machine learning, computer vision, web development, and building software systems that solve real problems. I enjoy working across the full development lifecycle, from ideation and design to implementation and deployment.

Alongside academics, I actively contribute to technical communities and student organizations, taking up leadership and organizational roles that strengthen my communication, teamwork, and project management skills.

Technical Skills

Programming Languages

  • Python
  • JavaScript
  • Java

Web Development

  • HTML5, CSS3
  • JavaScript (ES6+)
  • Three.js (WebGL)

Tools & Technologies

  • Git & GitHub
  • Flask
  • SQLite
  • Pandas
  • Tkinter

Projects

Face Recognition Attendance System

Python OpenCV ML

Developed an AI-powered face recognition system that captures real-time video input, detects faces, and records attendance automatically. The system improves efficiency over manual attendance methods and demonstrates practical application of computer vision and machine learning concepts.

Brain Stroke Detection Using CT Scans

ML Image Processing Healthcare

Built a machine learning-based diagnostic system to assist in early detection of brain strokes using CT scan images. Focused on image preprocessing, feature extraction, and model accuracy to support healthcare-related decision making.

Kidney Disease Prediction System

ML Data Analysis Predictive

Designed a predictive analytics system that analyzes patient data to estimate the risk of chronic kidney disease. Emphasized data cleaning, feature selection, and performance evaluation of machine learning models.

Experience

AI Intern

RAM Innovative Infotech

(in collaboration with CSE–AIML Department, LIET)

Worked on machine learning applications in the healthcare domain, focusing on model development, evaluation, and data-driven insights. Gained exposure to real-world datasets and practical challenges in deploying ML-based solutions.

Python Programming Intern

CodSoft

Developed Python-based applications and scripts, strengthening core programming concepts and problem-solving skills. Worked on hands-on tasks involving logic building, automation, and software fundamentals.

Leadership & Community

Graphic Designer – IEEE LIET

Designed posters, social media creatives, and event branding materials for technical and professional events.

Events Team Member – Microsoft Student Community LIET

Assisted in organizing and managing technical events and workshops in collaboration with industry professionals.

Marketing Ambassador – GoodMind App

Contributed to outreach, branding, and promotional strategies for a mental health–focused tech startup.

Let's Connect

Have a project in mind? I'd love to hear about it. Let's work together to create something amazing.

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