Parth Patel Email & Phone Number
Who is Parth Patel? Overview
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Parth Patel is listed as Machine Learning Software Engineer at Argonne National Laboratory, a company with 5085 employees, based in Lemont, Illinois, United States. AeroLeads shows a matched LinkedIn profile for Parth Patel.
Parth Patel previously worked as Software Engineer at Argonne National Laboratory and Machine Learning Engineer (Data Science and Learning Division (DSL)) at Argonne National Laboratory. Parth Patel holds Master'S Degree, Computer Science from University Of Illinois Urbana-Champaign.
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About Parth Patel
Hi, my name is Parth. As a recent computer science graduate student at the University of Illinois Urbana-Champaign, I am passionate about solving challenging problems at the intersection of artificial intelligence, high-performance computing and data science. My academic journey, coupled with diverse professional experiences, has equipped me with a strong foundation in core CS concepts, advanced programming skills, and cutting-edge technologies.Currently, I am working as a Software Engineer at Argonne National Laboratory on the Diaspora Project, where I architect resilient, scalable federated learning workflows for multi-messenger astronomy. My work involves processing billions of data points annually to optimize the detection of faint gravitational waves while preserving data privacy and security.Previously, as a Machine Learning Engineer in the Data Science and Learning Division at Argonne, I developed APACE, a novel computational framework that optimizes AlphaFold2 for high-performance computing platforms. This project, which won the 2023 HPCwire Readers' Choice Award for "Best Use of HPC in Life Sciences," significantly reduced inference time for protein structure prediction from 12.5 days to just 68 minutes.I also contribute as a Research Software Engineer at the National Center for Supercomputing Applications, where I conduct numerical simulations of binary black hole mergers and develop AI models for gravitational wave denoising.My industry experience includes roles at Ericsson R&D, where I worked on DevOps and security, and at SPi Global, where I developed AI-driven pipelines for document image restoration and data extraction.My core competencies include distributed computing, machine learning, data analysis and software engineering. I have also earned multiple certifications and honors in these domains, such as Neural Networks and Deep Learning, Introduction to TensorFlow for AI, and ranking in the top 2% for NPTEL courses.My future goal is to contribute to an organization that is highly focused on solving problems for social good using cutting-edge tools and technology. I am actively seeking 2024 SDE/ML/Data Science full-time opportunities where I can leverage my skills and experience to make a positive impact. In my free time, you can find me capturing photos, sketching, and playing games.Strengths - Positive Attitude, Time and Task Management, Critical Thinker, Detail-oriented, Problem Solving, Able to lead, Creative and Patient.
Parth Patel's current company
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Parth Patel work experience
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Software Engineer
Current- Architected resilient, scalable federated learning workflows for multi-messenger astronomy, efficiently processing 10B data points per year to optimize detection of faint gravitational waves buried in complex noise, all while preserving data privacy and security- Streamlined real-time data analysis and experimental steering by integrating AWS Kafka.
Machine Learning Engineer (Data Science And Learning Division (Dsl))
- Devised APACE, a novel computational framework that optimizes AlphaFold2 (AI system by Google DeepMind) to run at scale in high performance computing platforms through CPU & GPU optimizations, and distributed computing.- Leveraged NCSA’s Delta Supercomputer system’s data storage and data staging for enhanced I/O handling, along with cutting-edge.
Research Software Engineer
Current- Conducted numerical simulations and analyses of eccentric, spin-precessing binary black hole mergers using the Einstein Toolkit, significantly enhancing the understanding of gravitational waves emitted during these events, extracting valuable information about the properties of the involved black holes- Reduced computation time by 50% for script.
Graduate Teaching Assistant
- Served as a Graduate Teaching Assistant for ECE 220: Computer Systems & Programming taught by Professor Yuting Wu Chen for Spring 2023.- Conducted lab sessions for students, providing guidance and support for practical assignments- Held regular office hours to address student concerns, clarify concepts, and assist with debugging- Designed and reviewed.
Software Development Engineer (Devops Team)
Upon completing my undergraduate studies, I joined Ericsson R&D as a Software Engineer, initially contributing to the Security team before transitioning to the DevOps team. In the Security team, I focused on fortifying systems and ensuring compliance with industry standards. Later, in the DevOps team, I played a key role in developing, deploying, and.
Software Engineer Intern (Security Team)
I working as a Software Engineer Intern in Security team at Ericsson R&D during my final semester. In this role, I conducted in-depth vulnerability assessments, identifying and mitigating potential security risks within the system to strengthen its overall resilience.- Conducted comprehensive analysis and enhancement of system security requirements and.
Machine Learning Engineer
- Architected and developed a state-of-the-art, multi-modal framework for combating fake news on online social networks, effectively combining two CNNs for visual features (image manipulation and polarity) and BERT for advanced text analysis- Optimized model training and inference by leveraging Google Cloud and TPU acceleration, processing over 1 million.
Class Representative
Served as the Class Representative for B.Tech CS class at IIITDM Kancheepuram for the academic year Jan’20 – May’21As a class representative, I acted as a liaison between professors and students. I created Google forms to collect my classmates' opinions, which I then summarised and presented to the Head of the Department and Dean of Academics. Even when.
Machine Learning Engineer (Computer Vision Team)
- Worked on the Restoration of Severely Degraded Images and Deep Learning approaches for extracting data from scanned forms.- Designed and deployed AI-driven pipeline that restores degraded scanned document images using Deep Convolutional Denoising Autoencoders (70% OCR accuracy improvement) and extracts key-value pairs with high precision using YOLO-based.
Placement Coordinator
As a placement volunteer, I was responsible for conducting smooth placement drives for our Seniors.
Colleagues at Argonne National Laboratory
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Bob Jin Kwon
Colleague at Argonne National Laboratory
Greater Chicago Area, United States
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PJ
Peter Jacobs
Colleague at Argonne National Laboratory
Bensenville, Illinois, United States, United States
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Liela Clarke
Colleague at Argonne National Laboratory
Chicago, Illinois, United States, United States
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Mike Holik
Colleague at Argonne National Laboratory
Oak Brook, Illinois, United States, United States
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Theodore Krause
Colleague at Argonne National Laboratory
United States, United States
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Rebecca Gagnon
Colleague at Argonne National Laboratory
Minooka, Illinois, United States, United States
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CK
Carissa Kiehl
Colleague at Argonne National Laboratory
Kenosha, Wisconsin, United States, United States
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AM
Andrea Manning
Colleague at Argonne National Laboratory
Oak Park, Illinois, United States, United States
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SC
Suellen Cook, M.S., Csp, Chmm
Colleague at Argonne National Laboratory
Lemont, Illinois, United States, United States
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JD
Junjing Deng
Colleague at Argonne National Laboratory
Greater Chicago Area, United States
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Parth Patel education
Master'S Degree, Computer Science
Bachelor Of Technology - Btech (Hons.), Computer Science, 9.44/10
Frequently asked questions about Parth Patel
Quick answers generated from the profile data available on this page.
What company does Parth Patel work for?
Parth Patel works for Argonne National Laboratory.
What is Parth Patel's role at Argonne National Laboratory?
Parth Patel is listed as Machine Learning Software Engineer at Argonne National Laboratory.
Where is Parth Patel based?
Parth Patel is based in Lemont, Illinois, United States while working with Argonne National Laboratory.
What companies has Parth Patel worked for?
Parth Patel has worked for Argonne National Laboratory, National Center For Supercomputing Applications, University Of Illinois Urbana-Champaign, Ericsson, and Indian Institute Of Information Technology Design & Manufacturing Kancheepuram.
Who are Parth Patel's colleagues at Argonne National Laboratory?
Parth Patel's colleagues at Argonne National Laboratory include Bob Jin Kwon, Peter Jacobs, Liela Clarke, Mike Holik, and Theodore Krause.
How can I contact Parth Patel?
You can use AeroLeads to view verified contact signals for Parth Patel at Argonne National Laboratory, including work email, phone, and LinkedIn data when available.
What schools did Parth Patel attend?
Parth Patel holds Master'S Degree, Computer Science from University Of Illinois Urbana-Champaign.
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