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Fahaam KhanFK
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Fahaam Khan

@fahaamkhan

Computer science graduate building full-stack web apps and ML-powered solutions.

India
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What I'm looking for

I seek a hands-on engineering role building full-stack or ML products, with collaborative teams, mentorship, and opportunities to solve challenging problems.

I am a computer science graduate with hands-on experience building full-stack web applications and machine learning systems. I have led development work at a startup, delivering end-to-end features using the MERN stack and RESTful APIs.

My projects include a MERN-based payment reminder application that integrates email, SMS, and WhatsApp notifications, and an AI-powered real-time face-mask detection system using TensorFlow, Keras, and OpenCV. These projects demonstrate my focus on practical, user-centered solutions that improve reliability and public health.

I enjoy solving complex data-structures and algorithm problems and have a track record of competitive programming participation. I collaborate well in small teams and prioritize clean, maintainable code and responsive user interfaces.

I am motivated to join teams where I can contribute full-stack development skills, apply machine learning to real problems, and continue growing through challenging projects and cross-functional collaboration.

Experience

Work history, roles, and key accomplishments

DL

Technical Head Intern

Dyndox Technologies Pvt. Ltd.

Oct 2024 - Nov 2024 (1 month)

Led development and delivery of startup technology solutions, managing cross-functional teams and contributing to product implementation during a two-month internship.

Education

Degrees, certifications, and relevant coursework

Chitkara University logoCU

Chitkara University

Bachelor of Engineering, Computer Science

2022 -

Grade: 8.56/10

Activities and societies: Projects: TimelyPay (MERN payment reminder app), FaceMaskDetectionSystem (CNN/OpenCV); Selected in Top 40 of Smart India Hackathon; Technical Head Intern at Dyndox Technologies.

Pursuing Bachelor of Engineering in Computer Science with coursework in data structures, algorithms, web and backend development; CGPA 8.56/10 as of latest term.

NS

Nabha Public Senior Secondary School

High School Diploma, Secondary Education

Grade: 90%

Completed secondary education with a percentage score of 90%; studied core subjects and foundational computing concepts.

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