Computer Science Student & Developer
Passionate about cybersecurity, machine learning, and embedded systems. Building innovative solutions that make a difference.
I'm a dedicated Computer Science student with a passion for exploring the intersection of technology and security. Currently working at Dynpro, where I'm leveraging AI to make data easier to access and more actionable.
My work spans from AI-powered detection systems to hands-on hardware projects. I'm focused on developing innovative solutions in machine learning, cybersecurity, and embedded systems that make a real difference in the world.
When I'm not coding or studying, you can find me working on Arduino projects, analyzing network traffic patterns, or exploring the latest developments in AI and cybersecurity.
Projects Completed
Years Experience
Technologies
At Dynpro, I'm working on cutting-edge AI solutions that democratize data access and make complex information more intuitive to interact with. My focus is on developing systems that bridge the gap between raw data and actionable insights.
Developing advanced AI-powered detection systems that can identify potential threats and malicious activities in real-time. Combining machine learning with cybersecurity expertise to create robust defense mechanisms.
Building innovative hardware solutions and IoT applications using Arduino and other embedded platforms. Creating systems that bridge the physical and digital worlds through smart technology.
Working on NLP solutions for bias analysis and content understanding. Developing algorithms that can process and analyze text to provide objective insights and detect patterns in language.
Implemented a movement tracker using the MPU6050 9-axis Inertial sensor on an Arduino. Transferred data using the I2C interface and modified accelerometer data using Python to generate velocity and displacement through successive integration.
View ProjectThis project focuses on analyzing network traffic data captured in PCAP files to identify potential malicious activities. Leveraging machine learning techniques to detect attacker IPs within network traffic datasets.
View ProjectProof-of-concept implementation of Portable Executable injection using Python and ctypes library. Demonstrates fundamental techniques including memory allocation, relocation table parsing, and remote thread creation.
Retrieves and analyzes historical cryptocurrency data using CoinGecko API. Implements machine learning models like ARIMA and LSTMs to identify patterns, forecast price movements, and analyze market volatility.
View ProjectMachine learning solution for detecting and analyzing bias within news articles and media content. Uses natural language processing techniques to identify potential biases and provide objective analysis of media content.
View ProjectI'm always interested in new opportunities and collaborations. Feel free to reach out for discussions about AI, cybersecurity, or any tech-related topics!