CV
Table of contents
Basics
Name | Rahul Sharma |
Label | CS graduate and Machine Learning enthusiast |
rahulsharmaviswakarma@gmail.com | |
Phone | +91 7349485773 |
Url | https://rahulsharmavishwakarma.github.io |
Summary | Detail-oriented computer science graduate with interest in machine learning, computer vision, and NLP research. Published work on AI diagnostic assistant using radiology imaging. Skilled in Python, PyTorch, TensorFlow. Proven ability to develop AI models across various domains |
Education
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2020 - 2024 Bachelor of Technology
HKBK College of Engineering
Computer Science and Engineering
- Machine Learning & Deep Learning
- Software Engineering and Data Structures
- Relational Database and NoSQL Databases
Work
- 2023.08 - 2023.09
Machine Learning Intern
Varcons Technologies
Built a sentiment analysis model for stock price prediction with over 80% accuracy. Conducted research on machine learning topics in computer vision and natural language processing systems.
- 2023.08 - 2024.05
Undergraduate Researcher
HKBK College of Engineering
Developed a model to analyze and respond to questions on biomedical images with over 70% accuracy. Conducted research on fine-tuning large language models like LLaMA for medical question-answering and designed an R-CNN based model for document fraud analysis.
Skills
Languages and Libraries | |
Python | |
C++ | |
Javascript | |
PyTorch | |
TensorFlow | |
Pandas | |
Numpy | |
Matplotlib | |
Scikit-learn | |
MLflow | |
Django | |
SQL |
Tools | |
Linux | |
Git/GitHub | |
Docker | |
MongoDB | |
Azure | |
Google Cloud Platform | |
MySQL | |
SQLite |
Machine Learning | |
Deep Learning | |
Computer Vision | |
Natural Language Processing | |
Reinforcement Learning | |
Generative Adversarial Networks | |
Transfer Learning | |
Model Deployment | |
Model Interpretability | |
Transformer Models | |
Diffusion Models | |
Retrieval Augmented Generation |
Certificates
Microsoft Certified: Azure AI Fundamentals | ||
Stanford University |
Machine Learning Specialization | ||
DeepLearning.AI |
Deep Learning Specialization | ||
DeepLearning.AI |
Publications
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2024.03.25 Beyond Imagery: AI-Enhanced Diagnostic Assistant for Cancer and Tumor Diagnosis using Radiology Imaging
IJETS
Developing a multimodal model for analyzing and responding to questions on medical images using VQA datasets and fine-tuned language models.
Languages
English | |
Fluent |
Hindi | |
Native Speaker |
Kannada | |
Fluent |