Author Profile
Early Academic Pursuits:
Praneeth Nemani began his academic journey at the prestigious Dr. SPM International Institute of Information Technology in Naya Raipur, where he pursued a Bachelor of Technology (B.Tech) in Computer Science and Engineering. During this period, he excelled in a diverse range of coursework, including Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Predictive Analytics, Data Analytics, and more. His academic performance was reflected in an impressive GPA of 8.26/10.
Professional Endeavors:
Praneeth's professional journey showcases a blend of research and industry experience. Notably, as a Software Design Engineer Intern at Newgen Software Technologies, he developed an end-to-end personalized monitoring system using Apache Kafka, Heroku, Prometheus, and Grafana Labs. His contributions involved deploying a producer-consumer architecture and creating a customized dashboard for data visualization.
In academia, Praneeth served as an NLP Research Intern at the University of Kentucky, where he worked on a transformer-based framework for summarization and inference using the Schema-Guided Dialogue dataset. Additionally, as an AI Research Intern at the University of East Anglia, he conducted a comprehensive analysis of stereotypical biases in NLP Transformer models.
Contributions and Research Focus:
Praneeth's research focus spans various domains within computer science, as evident from his diverse publications. Notably, he co-authored papers on topics such as speaker-independent Visual Speech Recognition, multi-modal learning for health parameter estimation, and gender bias in transformers. His work includes systematic reviews, futuristic applications, and novel frameworks, showcasing a commitment to advancing the field.
Praneeth's impactful contributions extend to projects like "Contextually Aware QA Pair Generation," where he utilized NLTK, Spacy, and other tools to enhance question-answering systems. Additionally, his involvement in "Multiple Object Tracking and Person Re-Identification using CNNs" demonstrates expertise in computer vision and deep learning.
Accolades and Recognition:
Praneeth's academic excellence is underscored by his achievements, such as securing a percentile of 97.16% in the Joint Entrance Examination (JEE) Mains, with recognition through a 100 Percent Scholarship honor in the 10+2 Pre-University Programme at FIITJEE. His role as the CSEN Representative of the Graduate Student Advisory Board (GSAB) at CU Boulder and as a Student Volunteer at National Service Schema further highlights his leadership and commitment to service.
Impact and Influence:
Through his research publications and internships, Praneeth has made a significant impact on the fields of NLP, computer vision, and AI. His work on bias detection in transformers and holistic approaches to various challenges in computer science reflects a commitment to addressing real-world issues.
Legacy and Future Contributions:
Praneeth's legacy is marked by his academic achievements, industry contributions, and impactful research. With a Master's in Computer Science by research at the University of Colorado Boulder, he is poised to continue making substantial contributions to the field. His future endeavors are likely to further shape the intersection of AI, NLP, and computer science as a whole.
Citation
- Citations 26 26
- h-index 3 3
- i10-index 1 1
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