Computer vision with Machine Learning Engineer.

"Hi, I'm Rupesh Jonnalagadda, a skilled software engineer with expertise in AI/ML technologies, focusing on computer vision and ADAS systems. With a proven track record in developing advanced solutions like chatbots, document summarization tools, and semantic segmentation models, I bring innovation and efficiency to the automotive and tech sectors. My passion lies in creating scalable, high-performance solutions that enhance user engagement and operational success."

• Programming: Python, C++

• Machine Learning: TensorFlow, PyTorch, Keras, Scikit-learn

• Computer Vision: OpenCV, CNNs, Object Detection, Semantic Segmentation

• Tools & Frameworks: LangChain, RAG, Hugging Face, Streamlit

• Embedded Systems: NVIDIA Jetson, Azure, AWS

skills

• Stellantis (AI/ML Engineer)

  • Developed an advanced e-commerce chatbot using transformer-based LLMs.

  • Built semantic segmentation models for aerial imagery and human pose estimation systems.

• Bosch Global Software Technologies (Software Engineer)

  • Contributed to ADAS system visualization and sensor calibration.

  • Built a Visual SLAM system for indoor autonomous navigation.

• Winota SoftTech (Computer Vision Engineer)

  • Created real-time object detection systems using YOLO and Faster R-CNN.

Projects the future by creating it

You didn’t come this far to stop

AI Health & Mood Detection for Paraplegic Patients

A cutting-edge solution achieving 92% accuracy in detecting subtle changes in body parameters and mood.

Optimized EHR review processes with LangChain and AWS SageMaker, boosting productivity by 30%.

Enhanced recognition accuracy with ConvLSTM and reinforcement learning.

AI Summarization Tool

Facial Emotion Recognition

Github Projects

Explore a collection of advanced projects developed by Rupesh Jonnalagadda, showcasing expertise in Artificial Intelligence, Machine Learning, and Computer Vision

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Trusted by Clients

Proven projects