I am a passionate and results-oriented Computer Science student with a strong foundation in software development, machine learning, and data science. I have hands-on experience in developing and deploying full-stack applications and machine learning models. I am a quick learner and always eager to take on new challenges.
- π Iβm currently working on enhancing my skills in Gen AI and System Design.
- π± Iβm currently learning about advanced topics in RAG and Computer Vision.
- π― Iβm looking to collaborate on open-source projects related to machine learning and web development.
- π¬ Ask me about Python, C++, Java, Machine Learning, Deep Learning, and Data Structures & Algorithms.
- π« How to reach me: itssreevardhan@gmail.com
- β‘ Fun fact: Iβm a gamer and love exploring game development in my free time.
Built an AI-powered web scraper in Python to extract coding problems and generate topic tags. Developed and deployed a full-stack online coding platform with a custom compiler using Docker on AWS EC2. Mentored 150+ students in Django and full-stack development, guiding them to complete real-world projects.
Conducted data-driven program evaluation by analyzing 100+ survey responses, ensuring impact assessment. Applied t-tests and ANOVA for statistical analysis, improving accuracy by 25%.
Developed an Insider Threat Detection model using NLP and machine learning algorithms, achieving 98% accuracy. Built a text preprocessing pipeline with NLTK & SpaCy for 2M+ records, improving data quality and efficiency by 30%.
Built a Vision Transformer-based model to detect fish diseases from underwater videos with 90% accuracy. Engineered a streamlined pipeline that processed fish images through the model, integrating and displaying real-time predictions on video frames.
Developed a complete ML pipeline for real-time wine quality prediction deployed via Docker on AWS EC2. Streamlined deployment with CI/CD (GitHub Actions), cutting manual effort by 60%.
Created an AI-powered skill-matching system achieving 85% accuracy on 500+ job descriptions. Developed a React and Flask system for real-time analysis of 2,000+ job descriptions.

