Dear Hiring Manager, I’m writing to express my interest in roles where I can apply my background in machine learning and AI research. With over three years of experience building scalable solutions for log analysis, predictive modeling, and generative AI, I bring a mix of hands-on technical expertise and research-oriented thinking. Most recently at Fujitsu Research, I led projects that applied hypergraph models and large language models to automate system diagnostics—resulting in improved efficiency and error detection. One of our key innovations is now part of a patent filing, and our associated paper is under review at a leading conference. I'm equally comfortable collaborating across teams as I am deep-diving into complex models. Here’s a quick snapshot of what I bring: • Strong programming skills in Python and experience with TensorFlow, PyTorch, and LangChain • Practical exposure to multivariate time series forecasting and graph neural networks • Proven success in generative AI and LLM-based systems, including data masking and query automation • Research-driven mindset with a track record of publishing and contributing to patents • Comfortable navigating agile environments and building end-to-end AI workflows I hold a Master’s in Computational and Data Sciences from the Indian Institute of Science, where I also served as a Teaching Assistant for a machine learning course. That role helped me hone my ability to explain complex ideas clearly—something I consider essential when working across teams. I'm open to opportunities in both India and the UAE, and I’d be happy to further discuss how my background can align with your team’s goals. Thank you for your time and consideration. I look forward to hearing from you. Warm regards, Athira Gopal Bengaluru, India (Open to relocate to UAE) 📞_Phone details not available. Sign in: https://www.twine.net/signup_ | ✉️ _Email not available. Sign in: https://www.twine.net/signup_ 🔗 LinkedIn: athira-gopal

Dear Hiring Manager, I’m writing to express my interest in roles where I can apply my background in machine learning and AI research. With over three years of experience building scalable solutions for log analysis, predictive modeling, and generative AI, I bring a mix of hands-on technical expertise and research-oriented thinking. Most recently at Fujitsu Research, I led projects that applied hypergraph models and large language models to automate system diagnostics—resulting in improved efficiency and error detection. One of our key innovations is now part of a patent filing, and our associated paper is under review at a leading conference. I'm equally comfortable collaborating across teams as I am deep-diving into complex models. Here’s a quick snapshot of what I bring: • Strong programming skills in Python and experience with TensorFlow, PyTorch, and LangChain • Practical exposure to multivariate time series forecasting and graph neural networks • Proven success in generative AI and LLM-based systems, including data masking and query automation • Research-driven mindset with a track record of publishing and contributing to patents • Comfortable navigating agile environments and building end-to-end AI workflows I hold a Master’s in Computational and Data Sciences from the Indian Institute of Science, where I also served as a Teaching Assistant for a machine learning course. That role helped me hone my ability to explain complex ideas clearly—something I consider essential when working across teams. I'm open to opportunities in both India and the UAE, and I’d be happy to further discuss how my background can align with your team’s goals. Thank you for your time and consideration. I look forward to hearing from you. Warm regards, Athira Gopal Bengaluru, India (Open to relocate to UAE) 📞_Phone details not available. Sign in: https://www.twine.net/signup_ | ✉️ _Email not available. Sign in: https://www.twine.net/signup_ 🔗 LinkedIn: athira-gopal

Available to hire

Dear Hiring Manager,
I’m writing to express my interest in roles where I can apply my background in machine learning and AI research. With over three years of experience building scalable solutions for log analysis, predictive modeling, and generative AI, I bring a mix of hands-on technical expertise and research-oriented thinking.
Most recently at Fujitsu Research, I led projects that applied hypergraph models and large language models to automate system diagnostics—resulting in improved efficiency and error detection. One of our key innovations is now part of a patent filing, and our associated paper is under review at a leading conference. I’m equally comfortable collaborating across teams as I am deep-diving into complex models.
Here’s a quick snapshot of what I bring:
• Strong programming skills in Python and experience with TensorFlow, PyTorch, and LangChain
• Practical exposure to multivariate time series forecasting and graph neural networks
• Proven success in generative AI and LLM-based systems, including data masking and query automation
• Research-driven mindset with a track record of publishing and contributing to patents
• Comfortable navigating agile environments and building end-to-end AI workflows
I hold a Master’s in Computational and Data Sciences from the Indian Institute of Science, where I also served as a Teaching Assistant for a machine learning course. That role helped me hone my ability to explain complex ideas clearly—something I consider essential when working across teams.
I’m open to opportunities in both India and the UAE, and I’d be happy to further discuss how my background can align with your team’s goals.
Thank you for your time and consideration. I look forward to hearing from you.
Warm regards,
Athira Gopal
Bengaluru, India (Open to relocate to UAE)
📞_Phone details not available. Sign in: https://www.twine.net/signup_ | ✉️ Email not available. Sign in: https://www.twine.net/signup
🔗 LinkedIn: athira-gopal

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
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Intermediate
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Language

English
Advanced

Work Experience

Researcher at Fujitsu Research
June 1, 2023 - Present
Led the development of an automated log analysis system using Generative AI and machine learning models to improve error detection and root cause analysis. Developed a hypergraph-LLM framework for log data analysis, automating system failure diagnostics and increasing efficiency. Worked on POD-based Sketch for static graph training and enhancement of the multivariate time series forecasting using curriculum learning. Filed patents for AI-based log analysis systems, with research papers under review at ACL. Collaborated with cross-functional teams to design and implement scalable AI-driven solutions for data processing and decision-making.
Teaching Assistant at Indian Institute of Science (IISc)
April 1, 2022 - September 11, 2025
Assisted in teaching Practical Machine Learning courses, guiding students in developing and optimizing machine learning models using TensorFlow, Scikit-learn, and Keras, and improving understanding of real-world data challenges.
Researcher 2 at Fujitsu Research
June 1, 2023 - Present
Led the development of an automated log analysis system using Generative AI and machine learning models to improve error detection and root cause analysis. Developed a hypergraph-LLM framework for log data analysis, automating system failure diagnostics and increasing efficiency. Built a chatbot for user queries, filed a patent, and paper got accepted.

Education

Master of Technology at Indian Institute of Science
January 1, 2020 - March 1, 2023
Master of Science at University of Hyderabad
June 1, 2017 - June 1, 2019
Bachelor of Science at Kannur University
June 1, 2014 - June 1, 2017
Master of Technology at Indian Institute of Science
January 1, 2020 - March 31, 2023
Master of Science at University of Hyderabad
June 1, 2017 - June 30, 2019
Bachelor of Science at Kannur University
June 1, 2014 - June 30, 2017

Qualifications

Scalable Graph Learning Based on Matrix Decomposition and Locality Hashing Techniques
January 11, 2030 - September 11, 2025
Query and Community-Dependent Hyperedge Ranking for Question Answering with Log Data in Non-Natural Language
January 11, 2030 - September 11, 2025
Automated Log Analysis and Query System
January 11, 2030 - September 11, 2025
POD-based Sketch for Efficient Static Graph Training
January 11, 2030 - September 11, 2025

Industry Experience

Software & Internet, Professional Services, Education, Media & Entertainment, Computers & Electronics

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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