Work Experience
Software Engineer (Tech Lead) at Rosa Tech Pvt Ltd
March 2023 - Present
Leading the development of robotic automation and AI-driven testing systems, improving efficiency and performance.
- Developed an automated rebar detection and tensile strength testing system using computer vision, CNNs, and robotic automation, boosting efficiency by 50% and contributing to 15% of company revenue.
- Designed real-time data processing architectures, ensuring response times under 0.01 milliseconds.
- Engineered a Python library for IMU calibration with I2C integration for sensor precision.
- Built 10+ high-impact microservices improving backend operations and data processing efficiency.
Projects
Automated Rebar Strength Testing
Developed a machine learning and computer vision-based system for rebar detection and tensile strength analysis.
- Designed and deployed an AI-powered robotic pick-and-place system, increasing testing efficiency by 50%.
- Implemented CNN-based computer vision models for rebar detection and strength analysis.
- Utilized Python, TensorFlow, OpenCV, and robotic control frameworks for automation.
SimpliQ - Question Similarity Predictor
Built an NLP-based model for predicting question similarity using the Quora dataset.
- Developed a model with 80.14% accuracy using advanced NLP techniques.
- Implemented feature extraction pipelines and optimized performance using Random Forest.
- Created a user-friendly Streamlit-based web app for real-time predictions.
Football Analysis System
Designed an AI-driven system for real-time football player tracking and analysis.
- Integrated YOLOv8 for detecting players, referees, and footballs in real-time.
- Used KMeans clustering for player segmentation and optical flow for tracking movements.
- Applied OpenCV perspective transformation to convert pixel data into real-world player metrics.