Machine Learning Deep

RATHAN JAYANATH SINGAVARAPU

Jersey City, New Jersey 07304 ******.********@*****.*** +1-551-***-**** Linkedin GitHub Portfolio SUMMARY

Detail-oriented and innovative Master's student in Computer Science with a strong foundation in software development, machine learning, and image processing. Proven experience in developing full-stack applications and implementing deep learning algorithms for medical image analysis. Adept at collaborating in team environments and driving projects from concept to completion. ACADEMIC PROJECTS

BeautyU Mobile Application – React Based Mobile Application November 2024 – December 2024

• BeautyU is a React-based mobile app for browsing and purchasing beauty products, featuring personalized recommendations and tailored tutorials

• Designed the app using React TypeScript, Bootstrap for Frontend, Firestore for Backend and Clerk authentication, implementing key features like product recommendations and user-specific tutorials. Segmentation of Polyps using Image Processing Approach – Deep Learning Project February 2022 – May 2022

• A deep learning project focused on segmenting polyps in intestinal images using a U-Net-based algorithm. The model processes endoscopic and colonoscopic images to identify affected areas.

• Trained the U-Net algorithm utilizing a dataset of 600 images, achieving effective model performance validated through testing on 100 images and evaluated the model using key metrics, including Intersection over Union (IoU) of 0.703, precision of 0.958, and Dice score of 0.739, demonstrating robust accuracy in segmentation tasks. Digital Signal Processing in C April 2021 – May 2021

• A signal processing project implementing elementary signal operations, FFT, and IFFT on random signals using C programming and multi-threading with pthreads. Enhanced computational efficiency and accuracy in signal processing tasks, showcasing the potential of multi-threaded programming for real-time applications. WORK EXPERIENCE

Teradata Hyderabad,Telangana,India

Associate Software Engineer June 2022 – August 2023

• Optimized code and reduced implementation lines for database features, enhancing efficiency and stability by resolving 300+ variable allocation issues.

• Incorporated memory management strategies with few tweaks for real-time allocations, allowing for more than 128 bytes of data in the Neo memory manager. Streamlined spool and flag functions and conducted sandbox testing to ensure successful migration to database version.

Indian Institute of Information Technology Design and Manufacturing Chennai, Tamil Nadu, India Research Intern August 2021– October 2021

• Developed and implemented image processing algorithms, including U-Net, histogram segmentation, and K-means clustering, to segment ventricles in brain MRI images

• Achieved an ORB similarity score of 0.69 with histogram segmentation, 0.11 with K-means clustering, and 95% average pixel accuracy with U-Net compared to ground truth.

• Classified MRI images as Alzheimer's Disease (AD), Mild Cognitive Impairment (MCI), or Normal based on segmented white pixel values, obtaining average pixel values of 4033.5 (Normal), 4062.46 (MCI), and 5088.6 (AD). Gustovalley Technovations Chennai, Tamil Nadu, India Intern March 2021 – April 2021

• Led Industry 4.0 initiatives, focusing on machine learning projects and integrating advanced technologies into business processes.

• Developed and hosted web applications, managed PHP requests, and executed Java-related projects to enhance system functionality, implemented hardware simulation systems and contributed to mobile application development for improved user experiences.

EDUCATION

Pace University New York

Masters in Computer Science - GPA: 3.75/4.0 September 2023 – May 2025 Relevant Coursework: Full Stack Enterprise App Dev, Dbms, Mobile web Content Dev, Python for Data Science Indian Institute of Information Technology Design and Manufacturing, Kancheepuram Chennai,Tamil Nadu Bachelors in Electronics and Communication Engineering - GPA: 8.1/10.0 August 2018 – May 2022 PUBLICATIONS

Rocky Mountain Bioengineering Symposium March 2022

“Automatic Segmentation of Endoscopic lesions using U-NET BASED DEEP ARCHITECTURE" to Biomedical Sciences Instrumentation SKILLS

Technical: JAVA, Python, C++, HTML, CSS, JAVA script, Type Script, React Native, ML Algorithms, TensorFlow, Pytorch, Keras

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