Sudesh Kumar Santhosh Kumar Email & Phone Number
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Sudesh Kumar Santhosh Kumar is listed as Machine Learning Engineer at Apple, a with 163018 employees, based in Los Angeles, California, United States. AeroLeads shows a matched LinkedIn profile for Sudesh Kumar Santhosh Kumar.
Sudesh Kumar Santhosh Kumar previously worked as Machine Learning Engineer I at Lexisnexis Legal and Machine Learning Intern (NLP & Gen AI) at Lexisnexis Legal. Sudesh Kumar Santhosh Kumar holds Masters In Electrical And Computer Engineering, Machine Learning And Data Science, 3.85 from University Of Southern California.
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About Sudesh Kumar Santhosh Kumar
I am a Machine Learning Engineer specializing in NLP and GenAi at LexisNexis Legal, where I apply my skills and knowledge in Natural Language Processing (NLP) to design and build robust pipelines for Text Classification and Information Extraction tasks. I also utilize the advanced Transformer BERT architecture to generate high-quality embeddings and fine-tune BERT for various NLP tasks. I am pursuing a Master's degree in Electrical and Computer Engineering at the University of Southern California, with a focus on Machine Learning and Data Science. Previously, I worked as a Student Researcher at USC Information Sciences Institute, where I explored the interdisciplinary intersection of Information Sciences and Social Media Analysis. I constructed and refined sentiment analysis models, implemented web scraping techniques, and analyzed data from the Tumblr social media platform, specifically targeting posts that propagated eating disorders. Our team was awarded the "Best Interdisciplinary Team Work award at CKIDS 2023". I also worked as a Course Grader and Mentor for EE 538 (Computing Principles for Electrical Engineers) at USC Viterbi School of Engineering, where I assisted and guided students in learning the fundamentals of programming, data structures, and algorithms. I am passionate about applying AI and Machine Learning for social good, and I am eager to learn from and contribute to the innovative and impactful projects at LexisNexis. I believe I can bring diverse perspectives and experiences to the team, as I have a strong background in Electronics and Communications Engineering, and have won multiple awards and certifications in robotics and IoT.
Listed skills include Python, At89S52 Micro Controller, Research, Embedded C, and 9 others.
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Sudesh Kumar Santhosh Kumar work experience
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Machine Learning Engineer I
Machine Learning Intern (Nlp & Gen Ai)
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 Information Extraction tasks.2. Utilizing the advanced Transformer BERT architecture to generate high-quality embeddings, enhancing the accuracy and effectiveness of our models and fine-tuning BERT for a set of NLP tasks.3. Conducting extensive exploratory data analysis and feature engineering to extract valuable insights and optimize model performance.4. Collaborating closely with the data science team, participating in brainstorming sessions, and contributing to the development of innovative AI solutions.5. Continually monitor and evaluate model performance, implementing iterative improvements to ensure our solutions stay ahead in the rapidly evolving AI landscape.I'm excited to harness the power of data and AI, turning them into actionable insights that drive strategic decision-making and bring about tangible business value.
Coure Grader And Mentor Ee 547 (Applied And Cloud Computing For Engineers)
Course Grader And Mentor - Ee 538 (Computing Principles For Electrical Engineers)
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 .
Ckids Student Researcher
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 of text data.2] Implementing web scraping techniques to extract data from the Tumblr social media platform, specifically targeting posts that propagated eating disorders.3] Analyzing the retrieved data to comprehend the prevalence and context of eating disorder promotion, thus contributing to our understanding of this significant societal issue.4] Working collaboratively within a research-intensive environment, I contributed to the creation of impactful knowledge and the development of potential interventions.This experience deepened my appreciation for the potential of Data Science in fostering positive social change and enhancing our understanding of digital community behaviors.
Machine Learning Engineer
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 the input frames of the video, generating the final output frames and rendered the BG removed video using FFmpeg.
Machine Learning Engineer
• 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.
Machine Learning Research Intern
• 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 name and corresponding opcode frequencies with a label as malware or benign.• Performed malware detection using various Supervised Machine Learning algorithms like Naive Bayes, Random Forest and J48 classifier with an accuracy of 99%.
Colleagues at Apple
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Saied Ahmed
Colleague at AppleCairo, Egypt
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Noah Bider
Colleague at AppleLos Altos, California, United States
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Gaurav Gera
Colleague at AppleBengaluru, Karnataka, India
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Rakhi Singh
Colleague at AppleGurugram, Haryana, India
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Omar Rs
Colleague at AppleXochimilco, Mexico City, Mexico
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Davidson Castro
Colleague at AppleMontes Claros, Minas Gerais, Brazil
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Bảo Khanh
Colleague at AppleSoc Trang, Vietnam, Viet Nam
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Rhondalyn Jones
Colleague at AppleMadison, Wisconsin, United States
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Irina Dikeocha
Colleague at AppleAbuja, Federal Capital Territory, Nigeria
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Shiyu Wang
Colleague at AppleShanghai, China
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Sudesh Kumar Santhosh Kumar education
Masters In Electrical And Computer Engineering, Machine Learning And Data Science, 3.85
Bachelor'S Degree, Electrical, Electronics And Communications Engineering, Cgpa - 9.34 / 10
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
Frequently asked questions about Sudesh Kumar Santhosh Kumar
Quick answers generated from the profile data available on this page.
What company does Sudesh Kumar Santhosh Kumar work for?
Sudesh Kumar Santhosh Kumar works for Apple.
What is Sudesh Kumar Santhosh Kumar's role at Apple?
Sudesh Kumar Santhosh Kumar is listed as Machine Learning Engineer at Apple.
Where is Sudesh Kumar Santhosh Kumar based?
Sudesh Kumar Santhosh Kumar is based in Los Angeles, California, United States while working with Apple.
What companies has Sudesh Kumar Santhosh Kumar worked for?
Sudesh Kumar Santhosh Kumar has worked for Apple, Lexisnexis Legal, Usc Viterbi School Of Engineering, Usc Information Sciences Institute, and Redmind Technologies.
Who are Sudesh Kumar Santhosh Kumar's colleagues at Apple?
Sudesh Kumar Santhosh Kumar's colleagues at Apple include Saied Ahmed, Noah Bider, Gaurav Gera, Rakhi Singh, and Omar Rs.
How can I contact Sudesh Kumar Santhosh Kumar?
You can use AeroLeads to view verified contact signals for Sudesh Kumar Santhosh Kumar at Apple, including work email, phone, and LinkedIn data when available.
What schools did Sudesh Kumar Santhosh Kumar attend?
Sudesh Kumar Santhosh Kumar holds Masters In Electrical And Computer Engineering, Machine Learning And Data Science, 3.85 from University Of Southern California.
What skills is Sudesh Kumar Santhosh Kumar known for?
Sudesh Kumar Santhosh Kumar is listed with skills including Python, At89S52 Micro Controller, Research, Embedded C, Machine Learning, Public Speaking, Deep Learning, and Internet Of Things.
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