Hi there, I'm
I craft digital experiences with clean code and innovative solutions. Passionate about building scalable applications and turning ideas into reality.
Get to know me
B.Tech Computer Science and Engineering student specializing in Artificial Intelligence and Machine Learning, passionate about solving problems and exploring emerging technologies. Strong foundation in programming and software development, with proficiency in Java and Python. Experienced in building projects such as facial recognition, emotion detection, and GPS-based tracking systems.
I believe in writing clean, efficient, and maintainable code. Here's what guides my work:
I’m a maintainable, readable, and efficient code that scales.
Breaking down complex problems into elegant, simple solutions.
Optimizing applications for speed and efficiency.
Have a project in mind or want to collaborate? I'd love to hear about it!
Get in Touch →My Work
Projects I’ve built to solve a specific problem or explore new technologies.
Developed a cost-effective, low-power emergency alert device using ESP32 and A9G GSM/GPRS/GPS module. The system sends real-time GPS location to the cloud via MQTT when the SOS button is pressed, enabling rapid response in critical situations. Integrated with Adafruit IO for cloud management and designed with FreeRTOS for efficient multitasking. Emphasized privacy, manufacturability, and sustainability for widespread, ethical use in personal safety applications.
Designed a lightweight, on-device system to classify human activities (e.g., walking, running, sitting) using IMU sensor data and Edge Impulse. Deployed ML models on edge devices for fast, energy-efficient performance. Supported real-time tracking for XX+ users and contributed to resolving major crash issues in an embedded ML environment. Suitable for wearables, fitness, and health monitoring..
Designed and implemented a machine learning model capable of recognizing and interpreting sign language gestures in real time. The system analyzes input from sensors or visual data to accurately detect hand movements, converting them into readable text. This solution improves accessibility and communication for the hearing-impaired and can be integrated into assistive devices or smart applications for inclusive interaction.
My Expertise
Explore the tools and technologies I use to build modern applications.
The following skills represent my technical expertise gained through academic and project work.
GET IN TOUCH
Have a project in mind or want to chat? I'd love to hear from you!
