ZAINUL FARIS V K

Information Technology Graduate | Machine Learning & Software Development
Manjeri, IN.

About

Highly motivated Information Technology graduate with a strong foundation in software development and machine learning. Possesses robust problem-solving and logical reasoning abilities, with a collaborative approach to working in challenging environments. Passionate about continuous learning and exploring new technologies, seeking opportunities to leverage expertise in software development, machine learning, and related fields to drive innovation and contribute to dynamic teams.

Work

Revertech IT Solutions
|

Graduate Trainee

Summary

Participated in a focused internship program, gaining practical experience in Machine Learning and Python development.

Highlights

Developed a Machine Learning project using Python, focusing on the analysis of Bengaluru house data to derive insights.

Successfully completed an intensive 7-day internship training program, enhancing skills in Machine Learning and Python.

Volunteer

NSS GEC Palakkad
|

Core Team Member & Treasurer

Summary

Managed financial resources and facilitated community programs.

Highlights

Facilitated and organized various community-focused programs and initiatives under NSS GEC Palakkad.

IT Department (Govt. Engineering College, Palakkad)
|

Program Coordinator

Summary

Coordinated and organized technical and non-technical programs.

Highlights

Orchestrated and managed a diverse portfolio of technical and non-technical programs within the IT Department, enhancing student engagement and skill development.

Education

Govt. Engineering College, Palakkad

Bachelor of Technology

Information Technology

Grade: 7.9/10 CGPA

HMYHSS Manjeri

Higher Secondary Education

Higher Secondary Education

Grade: 91.83/100 GPA

Awards

Best Project Award Contribution

Awarded By

GEC Palakkad IEEE Symposium Malabar Subsection

Recognized for significant contributions to the 'Real-Time Landslide Detection and Alerting System' project, acknowledged for its innovation and impact at the GEC Palakkad IEEE Symposium Malabar Subsection.

Skills

Software Development

Python, C, HTML, Object-Oriented Programming, System Design.

Machine Learning

Deep Learning, Object Detection, YOLOv8, Computer Vision, Machine Learning Models.

Computer Networking

CISCO Packet Tracer, Wireless Sensor Networks (WSNs), Network Protocols.

Database Management

RDBMS, Supabase.

Hardware Integration

Arduino Nano, Serial Communication, Ultrasonic Devices.

Team Collaboration & Leadership

Project Coordination, Program Management, Event Organization, Problem-Solving, Logical Reasoning.

Projects

Smart Dog Repellent System

Summary

A course project focused on developing an automated system for real-time dog detection and deterrence.

Real-Time Landslide Detection and Alerting System

Summary

An ongoing course project dedicated to developing an advanced system for real-time landslide detection and public safety alerts.