Technische Universität Darmstadt
Courses
Data Analysis
Machine Learning
Data Science
Network Security
Network Communication
Courses
Data Analysis
Machine Learning
Data Science
Network Security
Network Communication
Courses
Python
C++
Java
Wireless Networking
ENGINEER
Bengaluru, Karnataka, India
Summary
Led software development and system enhancement initiatives for telematics and POS device integration, optimizing performance and reducing operational overhead.
Highlights
Developed robust telematics systems for GPS tracking, diagnostics, and OTA updates in connected vehicles, enhancing functionality for Marelli Telematics.
Optimized communication between vehicle hardware and cloud platforms using CAN, MQTT, and REST APIs, ensuring seamless data exchange and system interoperability.
Enhanced system diagnostics and testing protocols, improving module reliability by 15% and ensuring robust performance.
Collaborated across cross-functional teams to ensure real-time data synchronization, facilitating efficient data flow and system integration.
Engineered DLRMU, a CLI tool for automated firmware/configuration updates across 500+ POS devices, effectively reducing manual effort by 60%.
Developed and maintained C#/.NET solutions for OPOS hardware integration, ensuring reliable and efficient peripheral communication.
Managed debugging, version control, and deployment within Agile sprints, contributing to timely and efficient software releases.
INTERNSHIP – Programmer Analyst
Bengaluru, Karnataka, India
Summary
Developed and maintained scalable software applications focusing on robust, maintainable code quality for diverse business needs.
Highlights
Developed and maintained software applications using C#, focusing on building robust, scalable, and maintainable code bases.
Applied best practices in software development, utilizing Visual Studio, Git, and SQL Server for effective project management and database operations.
AI INTERN
Bengaluru, Karnataka, India
Summary
Contributed to the development of machine learning models and implemented data preprocessing techniques for AI projects.
Highlights
Implemented and optimized machine learning models using Python, scikit-learn, and TensorFlow for various AI applications.
Applied advanced data preprocessing techniques to enhance model performance and managed version control with Git for AI projects.
Python, C++, C#, Java, SQL.
Pandas, NumPy, Matplotlib, scikit-learn, Jupyter.
CAN protocol, MQTT, TCP/IP, Wireshark, Cisco Packet Tracer.
Git, VS Code, Visual Studio, WSL, Jira.
VMware, Ansible, Bash, Linux, Docker.
HTML, CSS, JavaScript.
Summary
Built a health data classifier using machine learning techniques.
Summary
Developed a real-time face recognition system in Python.
Summary
Analyzed simulated LAN traffic with Wireshark to study TCP/IP and DNS behavior.
Coursera
Udemy
LinkedIn Learning
SoloLearn