About Me
I am Shaik Ahamed, a Front End Developer and IoT Specialist from Andhra Pradesh, India. My objective is to be associated with an organization which provides a challenging work environment and that allows me to provide my excellence at every step towards my long-term career goal.
I need it in a more professionalized version and alos humanize it which impresses the recruiter and dont include directly like html css instead use web technologies like such key words
Name
Shaik Ahamed
Location
Andhra Pradesh, India
Date of Birth
05-09-2003
shaikahamed0509@gmail.com
Contact
+91 93981 48861
Languages
English, Telugu, Hindi
Education
B-Tech (ECE)
Nadimpalli Satyanarayana Raju Institute of Technology
2021 - 2025
6.52 CGPA
Intermediate
Narayana Junior College (MPC)
2019 - 2021
50%
SSC (10TH)
Viswateja School
2018 - 2019
8.0 GPA
Skills
Programming Languages
Frameworks
Web Technologies
Database
Cloud Services
Experience
Front End Developer
DATAPRO
Worked on developing responsive user interfaces and implementing new features using modern web technologies.
IoT Intern
Teckybot
Participated in developing IoT solutions and implementing connected device applications.
Web Development Intern
GauravGo Technologies
Assisted in building web applications using HTML, CSS, JavaScript, and modern frameworks.
Software Engineering Job Simulation
JPMorgan Chase & Co
Participated in a simulation program focused on software engineering principles and practices.
Technology Job Simulation
Deloitte
Engaged in simulation exercises focusing on technology implementation and problem-solving.
Data Analyst Intern
HMI ENGINEERING SERVICES
Worked on data analysis projects and provided insights for business decision-making.
Projects
Fitness Web App (Flask + MySQL)
A Fitness Application developed with Django, combining MySQL for data storage and a dynamic HTML/CSS/JavaScript front end. Tracked daily exercises, implemented XP penalty for inactivity by reducing the user score, and includes interactive games to entertain users and help maintain their score.
Accident Detection System Using ML
This project uses Python libraries like Keras, TensorFlow, and OpenCV to detect accidents under CCTV surveillance. A trained model processes accident datasets, achieving 70% accuracy. When an accident is detected, alerts are sent to nearby hospitals and police stations to expedite emergency response.
Management System Using Java Web Application
A robust Java web application built using the Spring Framework for modular backend logic, JSP/Servlets for request handling, and MySQL for data storage. The user interface is designed with HTML, CSS and JavaScript for a responsive and interactive experience.
Achievements
Completed the IIT Bombay Campus Executive Program for Entrepreneurship, acquiring valuable insights into entrepreneurial strategies, innovation, and business development, further enhancing my skills and knowledge in the field.
Led a team in a 24-hour hackathon at NSRIT to develop an AI-based accident detection system using Python and ML. The model achieved 70% accuracy and streamed live footage to nearby hospitals and police for quick response. Received certification for innovation and leadership.
Contact Me
Phone
+91 93981 48861Location
Andhra Pradesh, India