ShyamSundhar Yathirajam Email: ad2mj7@r.postjobfree.com

ï Yathirajam Shyam Sundhar Mobile: +1-760-***-****

§ GitHub: shyamsundhar058

Education

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California State University San Marcos, CA

Masters of Science - Computer Science Aug 2022 - May 2024 Courses: Data Mining, Artificial Intelligence, Machine Learning, Python, Deep Learning

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Jawaharlal Nehru Technological University Hyderabad, India Bachelor of Technology - Computer Science Jul 2018 - Sep 2021 Courses: DataBase Management Systems, Java,Mathematical Foundations, MySql, Python, Data Science Skills Summary

• Programming Languages: Python, Java, JavaScript, SQL, Solidity, PL/SQL

• Frameworks & Libraries: Keras, TensorFlow, PyTorch, ScikitLearn, Numpy, Pandas

• Data Science & AI Technologies: Machine Learning (Regression, Classification, Clustering), Deep Learning (CNNs, RNNs, LSTMs), Data Science (Data Visualization, Statistical Analysis), Artificial Intelligence, Large Language Models, Prompt Engineering, Hyper Dimensional Computing

• Development & Collaboration Tools: GIT, SQL Developer, Eclipse, Jupyter Notebook, MATLAB, Oracle E-BS R12, PuTTY, WinSCP, Tableau, GitHub, Slack

• Platforms & Project Management: Linux, Windows, Cloud Platforms (GCP, AWS)

• Soft Skills: Leadership, Problem Solving, Time Management, Decision Making, Adaptability, Team Collaboration, Independent

Experience

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California State University San Marcos, USA

Graduate Assistant - Artificial Intelligence Sep 2023 - March 2024

Worked under the supervision of Professor Dr. Sreedevi, focusing on the development of advanced Machine Learning techniques for brain tumor classification.

Developed an efficient and simple CNN for glioma grade classification that is 98% accurate and 14x faster than complicated networks such as U-Net; Submitted the research findigs at Journal for Medical Artificial Intelligence.

Presented a novel approach of using the Mean method to create new brain tumor images from the MRI sequences and then perform glioma grade classification using CNNs that demonstrates 98% F1-Score and accuracy; Submitted the research findings at Journal for Medical Imaging

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California State University San Marcos, USA

Graduate Research Assistant June 2023 - August 2023

Collaborated with Dr. Ali, Dr. Justin, and Dr. Sreedevi on the development of advanced machine learning models for detecting oscillatory current waves at wind farms.

Designed and implemented a 2D Convolutional Neural Network (CNN) model to analyze wind farm data, resulting in significant improvements in detection accuracy.

Developed a HyperDimensional Computing (HDC) model, showcasing an innovative technique in waveform analysis that demonstrates recall rate of 98% in detecting oscillations in windfarm and was 55 times faster on FPGA architecture.

Published a research findings at IEEE-Bigdata Conference 2023 in Sorrento, Italy.

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Jade Global Software Private Limited Hyderabad,India Associate Analyst Aug 2021 - Aug 2022

I worked here in handling tech stacks such as EBS R12 and PLSQL coding.

Defined application problems by consulting with clients to evaluate procedures and processes.

Performed quality assurance to assess data and validate results.

Created reports detailing findings and recommendations.

Performed in-depth analysis to help solve diverse problems with program implementation and operations.

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Jade Global Software Private Limited Hyderabad,India Software Intern Feb 2021 - Aug 2021

I was trained in multiple tech stacks such as PLSQL, Python, Data science, Java

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Sai Maruthi ManPower Consultancy Korutla,India

Database Associate Feb 2019 - Dec 2020

Executed the responsibility of formulating SQL queries for the seamless integration of daily applicant lists into the database.

Developed Applicant Tracking System (ATS) algorithms to efficiently shortlist candidates in alignment with job specifications.

Projects

• Windfarm Forced Oscillation Detection Using Hyperdimensional Computing: Innovatively applied Hyperdimensional Computing for oscillation detection in wind farms, achieving a 98% recall rate and 55x speed efficiency on FPGA. Recognized at IEEE Bigdata 2023.

• Efficient Glioma Grade Prediction using Learned Features Extracted from Convolutional Neural Networks: Pioneered an advanced CNN for glioma classification from MRI sequences, achieving 98% accuracy, 14x faster than U-Net. Research submitted to Journal for Medical Artificial Intelligence.

• Unique Image Transformation Paradigm for Enhanced Glioma Grade Prediction using Combined MRI Sequences: Devised an innovative image processing method, combining MRI modalities for CNN training, enhancing prediction accuracy to a 98% F1-Score. Submitted findings to Journal for Medical Imaging. Other Projects: • Vehicle Accident Detection and Alarm Raising System • Lab Record Digitalization using OCR • Face Mask Detection using MobileNetV4 Algorithm • Face Recognition • Facial Expression Recognition • HD Computing + CNN • HD Projection Learning

Honors and Awards

1. IEEE Bigdata Conference 2023 Acceptance: Research Paper ”Windfarm Forced Oscillation Detection Using Hyperdimensional Computing” recognized for its innovative approach in renewable energy technology, demonstrating a 98% recall rate and 55 times faster processing on FPGA architecture. 2. Journal for Medical Artificial Intelligence Submission: Submitted the paper ”Efficient Glioma Grade Prediction using CNN,” showcasing a novel CNN model with 98% accuracy and 14x speed improvement in brain tumor classification. 3. Journal for Medical Imaging Submission: Presented a novel approach using the Mean method to create new brain tumor images from MRI sequences for glioma grade classification, demonstrating a 98% F1-Score and accuracy. 4. ”Young Rookie of the Year - 2021” at Jade Global Software Private Limited: Awarded for outstanding contributions and innovative work in technology development during the early stages of my career. 5. State-level Dance Champion - 2017: Secured First Prizes in multiple state-level dance competitions, demonstrating exceptional talent and dedication in the field of performing arts. 6. Gold Badge in Python Programming on HackerRank - 2021: Achieved top-tier ranking in Python programming, reflecting advanced coding skills and problem-solving abilities.

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