Hello, I'm Ratnajeet
Software Engineer
Passionate about creating innovative solutions through technology and coding.
About Me
I am a dedicated Software Engineer with experience in developing and implementing software solutions. My expertise spans across multiple programming languages and frameworks, with a focus on creating efficient, scalable applications.
I'm passionate about solving complex problems and continuously expanding my technical knowledge to stay at the forefront of industry developments.
Work Experience
Software Development Intern
Sujalam Chemicals
June 2023 – August 2023
- Developed cross-platform inventory management app using React Native, improving operational efficiency by 70%
- Designed intuitive UI/UX that reduced user onboarding time by 50% and increased staff adoption
- Implemented real-time order tracking and analytics dashboard utilized daily by 10+ staff members
Research & Leadership
DIQA - No-Reference Image Quality Assessment Library
Research Project | Computer Vision & AI
- Developed a Python-based library for NR-IQA with a unified API to predict image quality (MOS scores) across multiple datasets.
- Built an XGBoost-based routing system to select the most accurate IQA model dynamically and created DIQATrainer to adapt models on custom data.
Research Contributor
RFID Attendance System Paper
January 2024 - March 2024 | Pune, India
- authored and published research paper on RFID-based attendance management systems
- Presented technical findings at regional tech conference with 100+ industry professionals
Technical Skills
Programming Languages
Frameworks & Libraries
Databases
Tools & Certifications
Interests
Education
Bachelor of Technology in Computer Science Engineering
DES Pune University
June 2027
Diploma in Computer Technology
Sou Venutai Chavan Polytechnic
June 2024
Projects
DIQA - No-Reference Image Quality Assessment Library
Developed a Python-based library for NR-IQA with a unified API to predict image quality (MOS scores) across multiple datasets.
Built an XGBoost-based routing system to select the most accurate IQA model dynamically and created DIQATrainer to adapt models on custom data.
AutoManim
Flask web application that generates Manim animations from natural language using Groq API. Reduced animation creation time by 90% for mathematical education videos.
Visitor Entry & Approval System
Android application for secure visitor registration with Room database backend. Implemented real-time notifications and approval workflows, improving entry processing speed by 60%.
Smart Attendance System
Arduino-based RFID attendance system with ESP8266 connectivity and LCD display. Achieved 95% accuracy in RFID scanning and eliminated manual attendance logging.
Inventory & Order Management App
React Native application to manage chemical inventory and streamline order flow. Increased order fulfilment efficiency by 65% through dynamic UI and optimized data handling.
Attendance Dashboard UI
Responsive interface using Tailwind CSS, JavaScript, and HTML for parent-teacher attendance tracking. Enhanced accessibility by providing real-time student attendance updates.
IoT-based Smart Light Switch
Integrated Alexa-controlled smart switch using Arduino IoT Cloud. Enabled voice-activated home automation, reducing manual switch usage by 85%.