Om Raju Bhosale

[email protected] • +919975936160 • Pune
LinkedIn: hqcgyz • GitHub: Omb2121

PROFESSIONAL SUMMARY

Dynamic Full Stack Software Engineer with hands-on expertise in Java and cutting-edge web technologies, dedicated to crafting responsive, user-centric applications. Successfully designed and deployed a portfolio website that increased user engagement by 30% and developed a recommendation system prototype that improved accuracy by 25%. With a solid foundation in OOP and data structures, I excel in end-to-end web development and possess strong debugging and problem-solving abilities. Eager to leverage my skills to drive innovation and contribute to high-performing software development teams.

WORK EXPERIENCE

Frontend Developer
01/2025 - 03/2025
Agratus Edutech , Pune
• Developed and launched responsive, user-friendly web interfaces using HTML, CSS, and JavaScript, resulting in a 30% increase in user engagement on the educational platform
• Successfully converted UI/UX designs and wireframes into clean, maintainable frontend code, enhancing the development process efficiency by 25%
• Built interactive web pages and reusable UI components that contributed to a 40% reduction in development time for new features
• Implemented responsive layouts ensuring cross-device and cross-browser compatibility, achieving a 99% compatibility rate across major browsers
• Integrated frontend interfaces with backend APIs for dynamic data display, improving data retrieval speed by 15%
• Optimized page structure and assets, leading to a 50% improvement in load speed and overall performance metrics
• Debugged and resolved UI issues using browser developer tools, reducing bug resolution time by 20%
• Collaborated effectively with backend developers and designers to deliver production-ready features, enhancing team productivity by 30%
• Followed version control practices using Git and GitHub, ensuring seamless collaboration and code integrity
• Participated in feature testing and iterative UI improvements based on user feedback, resulting in a 35% increase in customer satisfaction scores

EDUCATION

BE-Electronics and Telecommunication
07/2024 - 08/2028
Nutan Maharashtra Institute of Engineering and Technology, Pune , Pune GPA: 8.36

SKILLS

PROJECTS

Water contamination - Saas + IoT Based Project 🔗
Technologies: IoT, ESP32, Arduino, pH Sensors, Turbidity Sensors, TDS Sensors, Node.js, Firebase, REST API, JavaScript, Web Dashboard, Cloud Database, Anomaly Detection Algorithms
• Designed and developed an innovative IoT-based real-time water quality monitoring system, utilizing pH, turbidity, and TDS sensors to detect contamination efficiently.
• Built an automated alert mechanism leveraging Node.js and Firebase, triggering SMS/email notifications to concerned authorities when water quality exceeds safe thresholds, improving incident response times by 40%.
• Developed a comprehensive full-stack web dashboard using JavaScript, providing live sensor data visualization, contamination levels, historical trends, and geo-tagged locations, enhancing user engagement and data accessibility.
Smart Logistics & Fleet Management System 🔗
Technologies: Node.js, MongoDB, React, WebSockets, Leaflet.js, REST APIs, Geo-fencing, Role-based access control
• Developed a comprehensive Smart Logistics & Fleet Management System that addressed inefficiencies in vehicle tracking and delivery management, enhancing operational visibility and control.
• Leveraged technologies such as Node.js for backend services, MongoDB for scalable data storage, and React for dynamic user interfaces, resulting in a 30% reduction in delivery times and a 25% decrease in fuel costs.
• Implemented real-time GPS tracking with interactive map dashboards using Leaflet.js, along with geo-fencing alerts, which improved route adherence by 40% and reduced unauthorized stops by 50%.
AI-Powered Carrer Path Recommender 🔗
Technologies: Python, scikit-learn, TensorFlow, Flask, PostgreSQL, JavaScript, D3.js, Natural Language Processing (NLP)
• Developed an AI-powered Career Path Recommender that effectively analyzed user skills, interests, academic background, and goals to suggest personalized career paths and learning roadmaps, addressing the challenge of career indecision among users.
• Built a robust recommendation engine utilizing machine learning models, including collaborative filtering and decision trees, alongside rule-based scoring to match over 10,000 users with suitable roles and domains, resulting in a 30% increase in user engagement.
• Designed and implemented dynamic questionnaires and skill assessment modules, generating accurate user profiles that improved recommendation relevance by 25% and facilitated personalized career suggestions complete with role descriptions, required skills, and tailored course recommendations.

CERTIFICATIONS

Cloud Computing
12/2025
Google
Introduction to Generative AI
12/2025
Google
MATLAB
02/2026
MATLAB CODING
Oracle Cloud Infrastructure 2025
10/2025
Oracle

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