Gilu
Ranni, Kerala, India
Experience: 4 years
Open to: Full-Time, Part-Time
Education: Masters
Availability: Within 15 Days
Skills: Jupyter Notebooks, LLMs/ChatGPT, Matplotlib, NumPy, pandas, Python, PyTorch, scikit-learn, TensorFlow
Previously worked at: India-based Companies
Assessment Score: 55
- Years of Experience: Over 4 years of experience as a Junior Research Fellow specializing in signal processing and deep learning, with a focus on SONAR signal analysis, noise cancellation, and sensor array modeling.
- Educational Background: Holds a Master’s degree in Communication Engineering with a CGPA of 9.32 and a Bachelor’s degree in Electronics and Communication Engineering with a CGPA of 8.54 from reputed Indian universities. Recognized for excellence with several academic achievements.
- Research Experience: Demonstrated expertise in the design and implementation of deep neural networks for various signal processing tasks, including passive SONAR, drone detection systems, and adaptive noise cancellation, with a track record of publishing research in journals and conferences.
- Technical Skills: Proficient in Python, MATLAB, TensorFlow, Keras, and other deep learning tools. Skilled in image and signal analysis, neural network design, machine learning algorithms, and data collection and preparation for complex projects.
- Publications and Recognition: Published in international journals and conferences, including a book chapter on computational intelligence in healthcare. Awarded Best Paper at the National Conference on Machine Learning and AI (NCMLAI-19).
- Collaborative and Leadership Experience: Worked alongside scientists and researchers in collaborative environments, effectively supervising students, contributing to impactful research, and adhering to scientific protocols to produce reliable and defensible results.