Mohammed Talib khan
@mohammedtalibkhan
I build Android and IoT applications using Java, Python, and embedded systems.
What I'm looking for
I built Gramavasathi at Mindmatrix, an Android application that digitises booking and hospitality management for rural and semi-urban homestay properties.
My work combines software development with IoT and embedded systems. I designed a smart two-wheeler helmet air-purification system using an ESP32, MQ135 gas sensor, DHT11 sensor, OLED display, active filtration, and Blynk connectivity for remote air-quality monitoring.
At Foxconn Hon Hai Technologies, I perform final assembly, functional testing, and packaging of electronic devices on a high-volume production line. I also investigate recurring assembly issues through root cause analysis and maintain production and traceability records under quality management systems.
I'm a Computer Science and Engineering graduate with hands-on experience in Java, Python, Kotlin, web development, Android Studio, Git, Salesforce, and generative AI tools. I enjoy collaborating on projects and resolving product issues through consumer testing.
Experience
Work history, roles, and key accomplishments
Assembly Engineer
Foxconn Hon Hai Technologies
Jul 2026 - Present (1 month)
Performed final assembly, functional testing, and packaging (FATP) of electronic devices on a high-volume production line, following IPC and client quality standards. Conducted root cause analysis on recurring issues during assembly, developing targeted solutions that increased product reliability.
Intern
Mindmatrix
Feb 2026 - May 2026 (3 months)
Gained hands-on experience with Android Studio, Google AI Studio, Salesforce, and various generative AI technologies. Built Gramavasathi, a hospitality Android application digitising booking and hospitality management for rural and semi-urban homestay properties.
Education
Degrees, certifications, and relevant coursework
MS Engineering College
Bachelor of Technology, Computer Science and Engineering
Grade: 8.34/10
Pursued a Bachelor of Technology in Computer Science and Engineering, achieving a GPA of 8.34/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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