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I am a passionate Machine Learning Engineer with experience in developing deep learning models and enhancing real-time organ motion tracking for medical applications. Skilled in Python, PyTorch, TensorFlow, and various AI technologies, I enjoy leveraging data science and AI to solve complex problems. I’m currently pursuing my Master’s in Computer Science at the University of Florida while working on cutting-edge projects to improve healthcare and legal technology. With a background in Electrical Engineering and hands-on experience in underwater image processing and environmental IoT solutions, I bring a strong foundation in both hardware and software. I thrive in collaborative environments and am always keen to develop innovative AI and machine learning systems that make a real-world impact.…I am a passionate Machine Learning Engineer with experience in developing deep learning models and enhancing real-time organ motion tracking for medical applications. Skilled in Python, PyTorch, TensorFlow, and various AI technologies, I enjoy leveraging data science and AI to solve complex problems. I’m currently pursuing my Master’s in Computer Science at the University of Florida while working on cutting-edge projects to improve healthcare and legal technology. With a background in Electrical Engineering and hands-on experience in underwater image processing and environmental IoT solutions, I bring a strong foundation in both hardware and software. I thrive in collaborative environments and am always keen to develop innovative AI and machine learning systems that make a real-world impact.

Vamsi Manda

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I am a passionate Machine Learning Engineer with experience in developing deep learning models and enhancing real-time organ motion tracking for medical applications. Skilled in Python, PyTorch, TensorFlow, and various AI technologies, I enjoy leveraging data science and AI to solve complex problems. I’m currently pursuing my Master’s in Computer Science at the University of Florida while working on cutting-edge projects to improve healthcare and legal technology. With a background in Electrical Engineering and hands-on experience in underwater image processing and environmental IoT solutions, I bring a strong foundation in both hardware and software. I thrive in collaborative environments and am always keen to develop innovative AI and machine learning systems that make a real-world impact.…I am a passionate Machine Learning Engineer with experience in developing deep learning models and enhancing real-time organ motion tracking for medical applications. Skilled in Python, PyTorch, TensorFlow, and various AI technologies, I enjoy leveraging data science and AI to solve complex problems. I’m currently pursuing my Master’s in Computer Science at the University of Florida while working on cutting-edge projects to improve healthcare and legal technology. With a background in Electrical Engineering and hands-on experience in underwater image processing and environmental IoT solutions, I bring a strong foundation in both hardware and software. I thrive in collaborative environments and am always keen to develop innovative AI and machine learning systems that make a real-world impact.

Available to hire

I am a passionate Machine Learning Engineer with experience in developing deep learning models and enhancing real-time organ motion tracking for medical applications. Skilled in Python, PyTorch, TensorFlow, and various AI technologies, I enjoy leveraging data science and AI to solve complex problems. I’m currently pursuing my Master’s in Computer Science at the University of Florida while working on cutting-edge projects to improve healthcare and legal technology.

With a background in Electrical Engineering and hands-on experience in underwater image processing and environmental IoT solutions, I bring a strong foundation in both hardware and software. I thrive in collaborative environments and am always keen to develop innovative AI and machine learning systems that make a real-world impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Beginner

Language

English

Advanced

Javanese

Advanced

Amharic

Advanced

Work Experience

Machine Learning Engineer at University of Florida

August 1, 2024 - Present

Developed a distributed deep learning pipeline with PyTorch, TensorFlow, and DDP to train a 4D CNN for kidney and liver motion tracking, enhancing real-time organ displacement assessment for chemotherapy planning. Designed a hybrid model combining CNNs and LSTMs with attention mechanisms to improve motion prediction accuracy in dynamic medical imaging. Optimized training on multi-GPU clusters with gradient accumulation, mixed-precision training, and GPU memory profiling, ensuring efficient model deployment for adaptive radiotherapy.

Machine Learning Engineer at Coratia Technologies

December 31, 2022 - July 18, 2025

Engineered an underwater image processing pipeline using Python, OpenCV, and NumPy, integrating LABStretching and RGHS to enhance 500+ images, resulting in a 35-40% improvement in PSNR and SSIM visibility metrics. Optimized enhancement workflow with RGB Equalization and histogram stretching, automating batch processing to reduce computation time by 30%, increasing throughput to 20 images per second. Integrated advanced color correction algorithms to mitigate underwater haze and color shifts, improving contrast by 25% and color fidelity by 15%, validated via standard datasets.

Machine Learning Intern at SWAN Labs, IIT Kharagpur

February 28, 2021 - July 18, 2025

Engineered a Raspberry Pi IoT module to collect environmental data (NO2, CO2, PM2.5, PM10) for differential AQI analysis at a traffic intersection. Developed and trained a regression model with 85% accuracy in Python to predict AQI levels using real-time sensor data. Deployed a cloud-based alert system with MQTT and REST APIs, reducing response times by 30%.