Software developer with a focus on solving complex problems through efficient and scalable code . Strong foundation in programming languages and development frameworks, with hands-on expertise in C++, Python and Machine Learning. Committed to building impactful solutions that improve user experience and support business goals.
Design and develop software for new products as part of the Research and Development team, with a focus on control logic and machine learning integration. Work primarily in C++, handling tasks such as prototyping, debugging, and optimizing system performance.
Developed and trained a deep learning–based time series transformer model using Python to predict vegetation data in satellite imagery. Worked with NDVI (Normalized Difference Vegetation Index) data to enable reconstruction of vegetation conditions in areas obscured by cloud cover, using both past and future temporal context for accurate predictions.
C
Python
Machine Learning
QT
ROS2
Campus Navigation Robot
Developed an autonomous robot on a Raspberry Pi with ROS2 and SLAM, capable of navigating campus environments using occupancy grid mapping and real-time localization to guide users with obstacle-aware path planning.
Hand Sign Language Detection
Built a real-time hand gesture recognition system using MediaPipe and OpenCV to detect and classify sign language gestures. Implemented hand landmark tracking and gesture mapping to translate signs into readable text.
Advanced Public Bus Transport Management System: An Innovative Smart Bus Concept
IEEE International Conference on Consumer Electronics (ICCE) 2024
Darsh Thakkar, Keyurkumar Patel, Divya Patel, Nishit Chaudhary, Pratham Savaliya, Armaan Mistry