Ghansham Pravin Bordekar

[email protected] • 8849826386 • India

LinkedIn: linkedin.com/in/ghansham-bordekar • GitHub: github.com/ghanshambordekar3

PROFESSIONAL SUMMARY

Results-driven Full-Stack Developer with expertise in AI-integrated web application development, proficient in Java, Python, JavaScript, Spring Boot, and Flask. Successfully designed and deployed scalable, secure systems that improved client engagement by 30% and reduced load times by 25%. Adept at combining hands-on technical development with client collaboration to deliver innovative, intelligent solutions that drive business growth. Seeking to leverage strong problem-solving skills and modern frameworks to contribute to forward-thinking tech teams.

WORK EXPERIENCE

Software Developer

06/2025 - 08/2025

Prasad Computers , Nandurbar

• Streamlined daily operational workflows for staff, reducing workload by 20% and enabling focus on high-priority software development tasks

• Applied industry-specific knowledge to solve complex technical challenges, improving project delivery timelines by 15%

• Collaborated with cross-functional teams to analyze and resolve software issues, enhancing system reliability and user satisfaction

• Fostered a collaborative team environment by leading group projects and presentations, contributing to a 10% increase in team productivity

EDUCATION

Bachelor of Technology (B.Tech) in Computer Science & Engineering

01/2026

Sandip University

SKILLS

Technical Skills: Java, Python, MySQL, C++, HTML and CSS, JavaScript, Git, Github

Tools: Github, VsCode, Vercel

PROJECTS

AI Builder Platform — Full-Stack Web Application

Technologies: Spring Boot, Flask, JWT Authentication, OpenAI API, YOLOv8, MySQL

• Designed and developed a full-stack AI-powered platform using Spring Boot and Flask.

• Implemented JWT Authentication, user management, and AI-based code generation for frontend, backend, and database schema.

• Integrated OpenAI and YOLOv8 APIs for intelligent automation of development tasks.

• Configured MySQL database for persistent and efficient backend communication.

AI CrowdShield – Disaster and Crowd Management System (Live Project)

Technologies: YOLOv8, Flask, Spring Boot

• Developed an AI-driven platform for real-time crowd monitoring and disaster prevention, focused on Kumbh Mela 2027.

• Utilized YOLOv8 computer vision models to estimate crowd density and generate alerts.

• Built backend modules using Flask and Spring Boot for live analytics and rapid emergency response.

• Emphasized public safety, scalability, and real-time situational awareness.

CERTIFICATIONS

Oracle Cloude Infrastructure 2025 Certified DevOps Professional

10/2025

Oracle University

ACHIEVEMENTS

• I’ve officially earned the OCI 2025 DevOps Professional Certification, validating my expertise in building scalable, secure, and automated DevOps pipelines on Oracle Cloud Infrastructure.