I'm a student pursuing a Bachelor's in Data Science and Artificial Intelligence. I enjoy and am working at the intersection of AI, data science, stats and optimization. My expertise spans Data Analytics, Machine learning, Neural networks, software development and Database Engineering, with applications in Finance, Education and SaaS products.
- Machine Learning & AI (Fine-tuning LLMs, Optimization)
- Signal Processing (Object detection, patterns and signal representation)
- Data Science & Analytics (Using Data to build scalable solutions)
- Evolutionary Algorithms (Genetic Algorithms, Elitism, Crossover, Mutation)
- Educational AI Solutions (LLM powered-translation, wrappers for education, fine-tuning for relevant curricula)
- Graph Theory and Discrete Mathematics
- Econometrics (Using statistical models for economic analysis and predictions)
- Design of Algorithms (Efficiency, use-cases and solving LeetCode)
- Fine-Tuning LLMs for Education π§
- AI-Based Customer Sentiment Analysis π¬
- Portfolio Optimization π
- Shaastra Hackathon-winner '24 π
- Programming: Python, JS, SQL
- Modules and Frameworks PyTorch, TensorFlow, Keras, ReactJS, VueJS, NextJS, NodeJS
- Tools: Git, Docker, Hadoop, PySpark
β‘ Always open to discuss.