HELLO, I'M
Nevasini S.
Pre-final year undergrad CSE student specialization in ML/AI and NLP.
NEVASINI S
NLP | Research Intern | Deep Learning Developer | Aspiring Data Scientist | Mentor |
+91-9886162521
About
MY BACKGROUND
I am passionate about emerging technologies and their applications. I am excited about applying my knowledge to solve complex and intriguing problems. At present, my primary focus is on creating and applying cutting-edge AI & Deep Learning techniques for applications including Speech Recognition and Computer Vision.
I am a NLP, Data Science Enthusiast and a passionate deep learning developer and researcher, who loves to work on projects belonging to NLP and Deep Learning. I have been shortlisted as finalists in quite a few hackathons and part of student-led tech clubs, handling executive positions after getting reviewed for her hard work, passion, and skills for deep learning.
Education
WHAT I’VE LEARNED
2020–2024
PES University, Bangalore, India
CSE, specialization in ML/AI and NLP.
GPA: 8.75/10.0
2018–2020
Narayana E-techno School, Bangalore.
Best Outgoing Student Award.
2008–2018
Cambridge International School, Bangalore,
Class Valedictorian
Experience
WHERE I’VE WORKED
Research Intern, IIT-Madras RBCDSAI
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Working on Automated Doubt Generation Models for Natural Language Contexts
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Using tranformers such as T5,GPT and Bert for better results.
ML/AI developer in Multilex
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Worked on BERT based NER Performance Test on News Artciles.
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Fine-Tuning Neural Machine Translation on news headlines using Marian MT and Pytorch.
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Currently Working on Exploration of Topic Modelling using Sentence Transformers and BERT.
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Multimodal deep learning - NLP + Image Feature Extraction for Fake or suspicious News Detection.
Full Stack Web Development, Stealth Startup
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Worked on well-designed, tested code using best practices for website development, including mobile and responsive site design.
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Reviewed code, debugged problems and corrected issues.
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Managed development milestones from initial steps through final delivery.
Teaching Assistant
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Taught the course advanced algorithms for a group of 40 students during the summer of 2021.
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Prepared content from referring to various international authors and delivered smoothly.
Skills & Courses
WHAT I BRING TO THE TABLE
Deep Learning
Natural Language Processing (NLP) | Human Computer Interaction | Time-Series Analysis | Sequence Learning | Sequence to Sequence Networks | Classical ML
Frameworks
Tensorflow - Keras | Pytorch | BERT | Simple Transformers (Hugging Face) | Sentence Transformers (SBERT) | NLTK | Scikit - Learn
Databases
MongoDB (PyMongo) | Firebase (Pyrebase) | MYSQL (SQLite3)
Web Frameworks
Flask | Streamlit | FastAPI | Postman | HTML | CSS
Programming Languages
Python | C/C++ | R
Cloud Platforms
AWS Basics (EC2-Instance) | Heroku | Azure Basics
Achievements
WHERE I SHINE
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Presented my paper on Garbage Collection Using a Finite Liveness Domain on International Symposium on Memory Management.
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Nokia Student University Collaboration 2021, best project
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Hackathon hackloop, second place
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GirlScript Winter of Contributing, an Open Source program.
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Wrestle-AI: Secured first place in wrestle-AI competition
Interests
OUT OF OFFICE
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Natural Language Processing
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Artificial Intelligence
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Deep Learning
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Time Series Analysis
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Machine Learning
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Speech Analysis
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Information Retrieval​
Projects
Emergency Ally
Breast Histopathological Detection
Used CNN model for training the datasets about 22k is the dataset size. Using Computer Vision all the datasets were properly organized.
Obtained an accuracy of 96%.
Computer Semantic
Distance Between Text
Inputs using Siamese Neural Network
Reimplementation of Paper Siamese recurrent architectures for learning sentence similarity from MIT.