Fahaam Khan
@fahaamkhan
Computer science graduate building full-stack web apps and ML-powered solutions.
What I'm looking for
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
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
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.
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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