Hi, I'm
Divy Rakshit
Chaudhary
I am a
Detail-oriented Computer Science undergraduate crafting scalable backend applications and extracting visual insights from datasets.
About Me
🔹 Pre-final year CSE student at U.C.E.R. | Enthusiastic Java Developer | Problem Solver 🔹
👋 Greetings! I'm Divy Rakshit, a committed developer with a talent for deciphering issues and creating effective fixes. I enjoy challenges that test the limits of my knowledge.
💡 My unwavering quest for perfection and sincere passion for solving problems have characterized my career in software development. I approach every task with curiosity and persistence, whether it's designing scalable applications, improving code performance, or debugging complex bugs.
🌟 What makes me unique is my capacity to create sophisticated solutions in addition to writing code. I bring a combination of technical expertise and innovative problem-solving to every project I work on.
300+
Day LeetCode Streak
5
HackerRank Rating
GSSoC
2024 Contributor
Technical Expertise
Programming
Web & Backend
Databases
DevOps & Cloud
Core Concepts
Tools & Workflow
Behavioral
Experience
Data Analyst Intern
Veridia.io
- Analyzed resume datasets to identify hiring patterns and skill trends.
- Created visual insights to support recruitment decisions.
- Cleaned and preprocessed large datasets for accurate analysis.
Software Intern (Interior 3D Designer)
Rugosa
- Designed and optimized 3D interior models for improved visualization.
- Collaborated with teams to meet client-specific requirements.
- Enhanced realism and space utilization through design feedback.
Featured Projects
Restaurant Backend App
Developed a scalable backend system handling order processing, role management securely using a NoSQL architecture.
- Implemented RESTful APIs.
- Integrated secure authentication and authorization.
Electricity Billing System
A robust desktop application that significantly optimized manual billing operations.
- Reduced manual effort by 45%.
- Designed modular architecture.
- Implemented data validation and error-handling.
Anomaly Detection in IoT
Applied advanced machine learning to time-series sensor data to detect irregular network patterns.
- Developed models achieving 95% accuracy.
- Processed time-series sensor data.
- Evaluated via precision, recall matrices.
Training & Certifications
Full Stack Development Program
Comprehensive Curriculum Mastery
Education
B.Tech Computer Science and Engineering
United College of Engineering & Research, Prayagraj
Intermediate (CBSE)
Allahabad Public School, Prayagraj
High School (CBSE)
Allahabad Public School, Prayagraj
Let's Connect
Get In Touch
I'm currently looking for new opportunities. Whether you have a question or just want to say hi, I'll try my best to get back to you!