Vinit Phulwani

[email protected] 7038780621 Mumbai, Maharashtra
LinkedIn: Vinit Phulwani GitHub: https://github.com/vinitphulwani

PROFESSIONAL SUMMARY

Developer with strong expertise in Java, Python, SQL, and JavaScript, committed to delivering innovative software solutions that optimize industrial processes. Proven ability to design and implement efficient algorithms, demonstrated by improving application performance by 25% in recent projects. Adept at collaborating across teams to translate complex requirements into scalable code, ensuring seamless integration and enhanced user experience. Eager to leverage technical skills and problem-solving abilities to drive impactful results in software development roles.

WORK EXPERIENCE

Developer
06/2023 - 08/2023
BuildAsap , Mumbai
Built the Home automation Devices for a Mumbai based Home automation Startup
It helped me to sharpen my Programming Concepts and Communication skills
It was Physical and paid internship for the duration of 3 months
I attended multiple brainstorming sessions and progress meeting that made me familiar with industrial process of development
Internship
05/2021 - 07/2021
Insys Technologies
Worked on building and enhancing Java-based applications, such as a mini inventory management system
Applied OOP concepts and data structures for better performance
Collaborated with the team to debug code, write clean reusable methods, and optimize algorithms, improving execution speed and efficiency

EDUCATION

B.E in AI&DS
01/2023 - 01/2026
TSEC-Mumbai University
DIPLOMA IN COMPUTER ENGINEERING
01/2021 - 01/2023
VIVEKANAND POLYTECHNIC GPA: 81.26%
S.S.C
01/2019 - 01/2020
ST JOSEPH’S BETHANY SCHOOL GPA: 75.80%

SKILLS

PROJECTS

Smart Lock Using Biometrics
Technologies: Arduino, Biometrics, IoT security
Developed an Arduino-based Smart Lock System with fingerprint authentication for keyless entry
Gained experience in embedded systems, hardware integration, IoT security, and low-power circuit design
Enhanced problem-solving skills through real-world security solutions
FILE-O-QR
Technologies: Flutter, QR code scanning, Mobile app development
Developed a Flutter-based File Sharing App with QR code scanning for secure, hassle-free peer-to-peer transfers
Gained expertise in mobile app development, QR technology, and cross-platform compatibility
Ensured secure data exchange
Student Drop-Out Prediction Using Explainable AI
Technologies: AI, Machine Learning, Explainable AI, LIME
Built an AIML model that predicts whether a student will drop out of it’s curriculum by considering multiple factors such as it’s attendance, marks, socioeconomic status, past failures
Provide the inference of its prediction using LIME
The Explainable AI shows the most impactful features that has led to the conclusion
The system has validation accuracy of 86%