Embedded Developer
Hello I'm
Charan Velavan
I build modern web applications and work on AI-driven communication systems, UAV networks, and next-generation technologies.
Major Projects
Achievements
Technologies
Publications
About Me
Building Intelligent Systems
I am an Electronics and Communication Engineering graduate with a strong focus on building real-world systems at the intersection of 5G networks, AI/ML, and embedded platforms.
My work spans the full stack — from hardware and RF concepts to edge intelligence, cloud infrastructure, and production-grade software systems.
I have hands-on experience developing and deploying AI-enabled UAV and robotic systems, including a 5G-based search-and-rescue drone integrated with commercial radio infrastructure, and a swarm-enabled community robot powered by cloud-native services and large language models.
I am particularly motivated by projects that involve real hardware, real networks, and real constraints, and I thrive in environments that value problem-solving, experimentation, and continuous learning.
Core Expertise
5G & Wireless
O-RAN, CU/DU architecture, RF systems
AI/ML
Computer vision, deep learning, edge AI
Embedded Systems
UAV systems, robotics, real-time processing
Cloud Computing
AWS
RF Design
Antenna design, THz filters, RF circuits
Innovation
Research, prototyping, problem-solving
Currently Exploring
Next-generation wireless communication (5G, O-RAN), computer vision and deep learning, embedded AI, and scalable cloud architectures.
Selected Work
Projects & Systems
A curated selection of hands-on projects focused on AI-enabled systems, next-generation wireless networks, and real-world deployments.
Recognition & Awards
Achievements
Competitive achievements and awards recognizing innovation, problem-solving excellence, and technical leadership.
Experience
Internships
ZOHO Corporation
Technical Support Intern
Jan 2025 – Jun 2025
- ManageEngine Endpoint Central support
- Enterprise software asset management
SSN College of Engineering
Research Intern (THz RF)
May 2024 – Jul 2024
- Fractal-based THz bandpass filter design
- CST & MATLAB simulations
Techphosis
5G / O-RAN Intern
Mar 2024 – May 2024
- 5G O-RAN implementation with USRP B210
- CU/DU integration and RAN analysis
Technical Expertise
Technical Skills
A comprehensive overview of my technical skills across programming, frameworks, tools, and technologies.
Programming Languages
5G & Wireless Technologies
Embedded Systems & IoT
AI & Machine Learning
Cloud & DevOps
RF & Circuit Design
Networking & Tools
Frameworks & Development
Professional Development
Certifications
Industry-recognized certifications in networking and emerging technologies.
5G Communication Technology
DADB - German Academy of Digital Education
Issued May 2024
Research
Publications
Peer-reviewed research publications focused on AI-enabled disaster response systems, 5G communications, edge computing, and terahertz RF circuit design.
5G and Edge Computing Enabled Search and Rescue Drones
IEEE 8th International Conference on Trends in Electronics and Informatics (ICOEI 2025)
This work showcases the integral roles of AI, edge computing, and 5G in search and rescue operations during disaster response. The deployed YOLOv8n model was trained on both color and monochrome images to enhance performance in complex environments. A Raspberry Pi 5 Model B with a Hailo AI Kit enables cost-effective, low-latency real-time inferencing of live camera feeds, while the 5G network's URLLC and eMBB support high-resolution streaming and low-latency communication. AWS S3 provides cloud storage for data review and detections. The system was successfully tested in simulated disaster conditions with impressive results, advancing intelligent disaster response to save lives.
Design and Implementation of Miniaturized Dual-Mode Terahertz Bandpass Filter Based on Swastik Slotted Fractals
Journal of Optics (Springer)
This article presents the design of a miniaturized bandpass filter featuring a square patch perturbed microstrip resonator configuration with Swastik fractal slots for applications in the terahertz regime. The dual-mode filter demonstrates two transmission zeros on the passband edges, leading to substantial improvement in selectivity. The terahertz filter exhibits appreciable size reduction through integration of Swastik fractal slots into the resonator, achieving miniaturization without compromising desirable filter characteristics. The bandpass filter, measuring 8 × 8 µm², demonstrates notable performance at 3.88 THz with a return loss exceeding 38.32 dB and a low insertion loss of 1.63 dB.
Academics
Education
Academic background and formal training in communication systems and electronics engineering.
M.E. Communication Systems
SSN College of Engineering
2025 – Present
CGPA: 8.3B.E. Electronics & Communication Engineering
St. Joseph's College of Engineering
2021 – 2025
CGPA: 8.2412th Grade
Narayana E-Techno School
2021
Grade 87%Get In Touch
I'm currently open to collaborations, research discussions, and interesting projects. Feel free to reach out.