Sudesh Kumar Santhosh Kumar Email & Phone Number

Raleigh, North Carolina, United States

As a Data Science Intern at the Innovation Labs (ilabs), I am passionately engaged in the exciting world of Artificial Intelligence and Machine Learning, specifically within Natural Language Processing (NLP). My work is centered on: My key responsibilities involve:1. Designing and building robust NLP pipelines to streamline Text Classification and.

Los Angeles County, California, United States

Los Angeles, California, United States

Working as a Course Mentor and Grader - EE 538 (Computing Principles for Electrical Engineers) for Spring 2023 under the supervision and guidance of by Prof. Arash Saifhashemi.

Los Angeles County, California, United States

As a Student Researcher, I navigated the interdisciplinary intersection of Information Sciences and Social Media Analysis. Our team was awarded the "Best Interdisciplinary Team Work award at CKIDS 2023". My work focused on:1] Constructing and refining sentiment analysis models, offering critical insights into underlying emotional tones within large volumes.

India

Developed a real-time Hand Gesture Recognition engine using Google's HandPose model and integrated it with the existing mechanism to control Augmented Reality 3D models on screen for eKalaiva AI, an EdTech Web Application.Researched and developed a BG Removal engine using the U2Net model and PyTorch to extract the foreground from an input video by masking.

Chennai, Tamil Nadu, India

• Built a POS Tagger and NER DL Model using PyTorch & Google's BERT and deployed the micro-service using Flask to handle APIs.
• Worked on Chart Classification and Reconstruction using various Image Processing and Deep Learning techniques in the R&D Department.

Chennai, Tamil Nadu, India

• Received a fellowship to work with Prof. V. Kamakoti on Linux kernel size optimization & malware detection using Machine Learning techniques.
• Researched on generating a dataset for Malware Detection using Opcodes of Malware & Benign executable files and developed an algorithm that uses 80x86 Intel Opcode listings and generates a dataset containing the file.
• Performed malware detection using various Supervised Machine Learning algorithms like Naive Bayes, Random Forest and J48 classifier with an accuracy of 99%.

Masters In Electrical And Computer Engineering, Machine Learning And Data Science, 3.85

Activities and Societies: - Student Researcher at USC Information Sciences Institute. - Best Interdisciplinary Data Science Team Work.

Bachelor'S Degree, Electrical, Electronics And Communications Engineering, Cgpa - 9.34 / 10

- Co Founder of Robotics And Artificial Intelligence Club(RAIC). - Former President of Robotics And Artificial Intelligence Club(RAIC)..

Hsc, Scored 1171 Out Of 1200 With A Cut Off Of 195.75 (97.5 %)

Sslc, Mathematics, Scored 493 Out Of 500 (98.6%)

Master Of Science - Ms, Electrical Engineering Machine Learning And Data Science