Neerudi Sai Vikas
AI & Data Science Specialist
Transforming complex data challenges into innovative AI solutions
About Me
I'm an AI and Data Science professional with expertise in Machine Learning, Natural Language Processing, and Deep Learning. My passion lies in building intelligent systems that can understand, learn, and adapt to solve complex real-world problems.
With a strong foundation in Computer Science from IIT Indore and specialized knowledge in AI from my ongoing MTech program, I combine theoretical depth with practical implementation skills to deliver impactful solutions.
I thrive in collaborative environments where I can apply my technical expertise to create innovative solutions that drive business value and technological advancement.
Education Journey
MTech in Artificial Intelligence and Data Science
Specializing in advanced machine learning algorithms, deep learning architectures, and large-scale data processing techniques with a focus on practical applications in industry and research.
Key Achievements
- Ongoing research on transformer architectures for multimodal learning
- Working on a novel approach to approach for ARC Competition in Kaggle
Relevant Courses
- Advanced Deep Learning
- Natural Language Processing
- Computer Vision Systems
- Reinforcement Learning
- Big Data Analytics
BTech in Computer Science and Engineering
Gained strong foundations in computer science principles, algorithms, data structures, and software engineering practices with a focus on AI applications and system design.
Key Achievements
- Led research project on the project 'Permanent vs Determinant' exploring matrix computations
Relevant Courses
- Data Structures and Algorithms
- Machine Learning Fundamentals
- Operating Systems
- Database Management Systems
- Software Engineering
Self Paced Online Learning
Focused on cutting-edge AI research methodologies, advanced neural network architectures, and practical implementation of research papers.
Key Achievements
- Implemented 5 state-of-the-art models from recent research papers
- Final project selected for showcase in program highlights
Relevant Courses
- Research Methods in AI
- Neural Network Architecture Design
- Paper Implementation Practicum
- AI Ethics and Responsibility
Technical Expertise
Machine Learning
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Related Projects / Areas
- Sentiment Analysis Engine
- Predictive Analytics
- Computer Vision System
Natural Language Processing
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Related Projects / Areas
- Sentiment Analysis Engine
- Advanced Text Summarization
Deep Learning
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Related Projects / Areas
- Sentiment Analysis Engine
- Computer Vision System
- Generative Models
Data Analysis
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Related Projects / Areas
- Core to various analytical tasks
- Data pipeline development
Python
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Related Projects / Areas
- Utilized in all core projects
- Scripting & Automation
TensorFlow/PyTorch
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Related Projects / Areas
- Sentiment Analysis Engine
- Computer Vision System
- Custom Model Development
Additional Expertise
Featured Projects
Sentiment Analysis Engine
Developed an advanced NLP model for multi-lingual sentiment analysis with 94% accuracy across 7 languages.
Computer Vision System
Built an object detection and tracking system for retail analytics, reducing inventory errors by 35%.
Predictive Analytics Platform
Created a time-series forecasting solution for supply chain optimization, improving efficiency by 28%.
Permanent vs Determinant
An exploratory study on matrix computations with applications in quantum computing and graph theory.
mRNA Vaccine Degradation Prediction
Developed deep learning models to predict mRNA degradation rates for the Stanford OpenVaccine Kaggle competition.