Hello, I'm Deepanshu
I’m a Software Development Engineer with a strong background in both frontend, backend development and mobile app development, machine learning.
My experience
Server Technology Intern
Oracle
Contributed to the OCI Networking team, working on cloud-based networking solutions.
Gained in-depth understanding of OCI architecture and its core networking components.
Enhanced knowledge of cloud networking protocols, troubleshooting techniques, and issue escalation processes.
Analyzed customer-reported issues related to OCI networking
Web Development Intern
Qest
Developed and maintained web applications using AngularJs enhancing user interface and performance.
Assisted in backend development with NodeJs and ExpressJs, contributing to the creation of RESTful APIs
Participated in code reviews, contributing to cleaner, more maintainable code.
Actively participated in daily stand-up meetings to discuss project progress.
ML and Backend Developer
COEAI
Developed an app that suggests safe routes to users using KNN for safety score calculations.
Built and maintained the backend using Flask and machine learning techniques to analyze crime data and accident data
Several other feature like chatbot, live location sharing and SOS were implemented
Presented the app under Project SAMUDRA to the IIT Delhi panel, earning high appreciation.
App Developer Lead
GDSC
Led the development and deployment of mobile application as part of GDSC.
Organized workshops on app development, teaching others about new tools and techniques.
Used Google tools like Firebase, Flutter, and Cloud in app development to add more features.
Helped with GDSC events and hackathons, guiding younger developers and promoting teamwork.
My Skills
- Flutter
- JavaScript
- TypeScript
- Angular JS
- Next JS
- React JS
- Node js
- Python
- Flask
- MongoDB
- Firebase
- PostgreSql
- AWS
- Docker
- Git
My projects
Find Loved Ones
Made with:
Mobile application that enables community based lost person locator which aimed at assisting users in locating lost friends and family members.
Streamify
Made with:
Web application for interactive video streaming which uses RTMP/WHIP protocoles and other features such as real time chat, user authentication folow/unfollow user.
Exam Invigilation
Made with:
Mobile application that uses face-recognition model for efficient exam invigilation such as student verification, attendance tracking.
My Education
Bachelor of Technology
National Institute of technology, Calicut
Graduated in 2025
GPA 8.9/10
- Major in Electronic and Communication
- Served as Class Representative for 2 years
- Part of SGC club as Teacher
- Application lead in GDSC
Contact me
Please contact me directly at deepanshu1800304@gmail.com or through this form.