MrEchoFi
Cybersecurity | Intelligence | Automation | Offensive Security | DevOps | DevSecOps
Learn MoreAbout Me
Hello! I'm Md. Abu Naser Nayeem, also known as MrEchoFi, a multi-disciplinary technologist with a deep passion for cybersecurity, AI, DevOps, DevSecOps, robotics, IOT and full-stack development. With a foundation in offensive security and red teaming, I specialize in breaking and building intelligent systems—from web apps and malware to autonomous robots and machine learning pipelines. My work bridges the gap between human ingenuity and machine intelligence, focusing on solving high-stakes security problems across digital and physical systems. Whether it’s crafting custom malware, engineering I’m driven by challenge, obsessed with precision, and constantly evolving in the worlds of cyber offense, development, and intelligent automation.
SKILLS:
- 🔐 Offensive Security & Red Teaming
- 🛡️ Defensive Security & Blue Teaming
- 🧠 Artificial Intelligence & Machine Learning:
- Deep Learning (CNNs, Transformers, RNNs)
- PyTorch, TensorFlow, Scikit-learn
- Adversarial Machine Learning & Model Evasion
Computer Vision (OpenCV, YOLO)
- ⚙️ Full Stack Development
- 🤖 Robotics:
- Raspberry Pi, ESP32, Arduino
- Sensor Integration, Motor Control
- Robot Operating System (ROS)
- 🌐 Networking & Infrastructure:
- TCP/IP, DNS, Routing, VLANs
- Packet Analysis
- Network Defense & Pentesting
- Secure Architecture Design
- 📡 IOT
- 🧰 DevOps & others Tech Stack:
- Docker, Git, Linux, Bash, Kubernetes, Ansible, Terraform, Gitlab CI/CD, Jenkins
- VMware, VirtualBox, Ghidra, IDA, x64dbg
- 🛠️ My Own Creation of Penetration Toolkit:
~ GreeDos V2 & V1, BannerGrapV2 & V1, NetWraith, EchoFi_KeyloggerPrimo, EchoFi BoX V1, EchoFi_USB
~ EchoFi_kilog_V1, EchoFi_KeylogDiscord, EchoFi_Pocket_Server,
Services
IoT Security Solutions
Secure design and implementation of IoT systems, device security, data protection, and risk management for connected devices.
Cloud Security
Secure cloud migration, security architecture design, and continuous monitoring of cloud environments (AWS, Azure, GCP).