MUKUND ADITYA

• Worked with a team of professionals to design, develop, test, build an AI to solve a real-world problem
• 1. Created a complete POC for a Custom knowledge chat-bot Web Application using Gradio in Python.
• 2. This was achieved by incorporating a local CPU only large language model, vector database and a Gradio User interface.
• 3. It provided me with valuable insights into the practical applications of computer vision and enhanced my skills in creating intelligent conversational systems.

Project - AI Powered Search for Extra-terrestrial Intelligence

• 1. Computing large amounts of data sets gathered from various sources since past few decades
• 2. Building a scalable AI model by loading pre-processed SETI data and deriving patterns from the data
• 3. Actively using computational neural networks to perform deep transfer analysis operations
• 4. Identifying anomalies and feeding the data through feed-back mechanism to train the AI model

Project - Parking Counter using ESPP8266 & UbiDots MQTT

• 1. Analyzing the parking data of vehicles of different sizes and peak traffic times, occupancy rate
• 2. Determining the vehicle movement and space calculations using various IR sensors
• 3. The data from the sensors is uploaded to ubidots cloud using node MCU for computation
• 4. Efficient management of slot allotment, ticketing, occupancy determination, payment through app

FTP Client/Server Development with Multi-Threading
Aug 2023 – Dec 2023 (Course Project, Advanced Computer Networking, University of Florida)

• Designed and implemented a custom FTP client-server application in Python (also adaptable to Java/C++).
• Built a robust system supporting multi-threaded server architecture to handle concurrent client connections efficiently.
• Implemented file transfer operations (GET/UPLOAD) using TCP sockets, including chunked file transmission for large files.
• Ensured end-of-transmission signaling to manage data integrity and file completeness.
• Demonstrated comprehensive knowledge of networking protocols and multithreading, essential for real-world distributed systems.

Sneaker Theory UI/UX Design Collaboration
Sept 2024 – Dec 2024 (Team Project)

• Collaborated with a cross-functional team to design an interactive educational platform that teaches STEM/STEAM concepts through sneaker design.
• Conducted user research, including persona development and user interviews, to inform design decisions and enhance usability.
• Created wireframes and high-fidelity prototypes using Figma, integrating iterative feedback from real users.
• Delivered a final design document highlighting features such as real-time previews, customization tools, and eco-friendly material options.
• Played a key role in ensuring design consistency, user engagement, and accessibility across different age groups.