Ashutosh Kumar Tripathi
Full Stack Developer | AI & Data Analytics Student
About Me
I'm Ashutosh Kumar Tripathi, a dedicated and curious 3rd-year B.Sc. student in Computer Science and Data Analytics at the Indian Institute of Technology Patna. My academic journey has been a thrilling exploration into the core concepts that drive modern technology and data-driven insights.
My curriculum at IIT Patna provides a robust foundation in areas like programming, data structures, algorithms, and statistics. However, my true passion ignites when I delve into the more specialized domains of Machine Learning and Deep Learning.
Education
Bachelor of Science in Computer Science And Data Analysis
Indian Institute of Technology Patna (IIT PATNA) | Aug 2023 - July 2026
CPI: 8.6
Intermediate
Pt. Ramchandra Mishra Inter College - Vindyachal | July 2023
Percentage: 72%
Experience
Full Stack Intern
Nextute | Aug 2024 – Oct 2024
- Built and deployed dynamic web modules using Next.js, React, and Express.js
- Integrated NeonDB for efficient database management and real-time data updates.
- Collaborated with backend team to design scalable REST APIs and improve performance
- Enhanced UI responsiveness and implemented reusable components for faster development cycles
Projects
Sahayak AI (AI-Powered EdTech Platform)
Developed an intelligent platform for the Indian education sector, trusted by 5,000+ educators, that automates critical tasks (lesson planning, assessment creation, paper digitization) to save an average of 10+ hours per week.
TaskFlow AI: AI-Powered Project Management Platform
Developed and deployed an AI-first Project Management (PM) application that leverages machine learning to automate workflows, providing intelligent task prioritization, automated status updates, and predictive risk reporting to enhance team productivity.
JARVIS - Personal Agent
A voice-activated assistant integrating multiple productivity platforms with natural language processing capabilities.
Youtube-Comment-Sentiment-Analyzer
A Streamlit application that analyzes the sentiment of YouTube video comments using machine learning. The app fetches comments from YouTube videos and performs sentiment analysis to classify them as positive or negative.
Anime-Recommendation-System
This machine learning project provides anime recommendations based on content similarity analysis of anime synopses. The system uses TF-IDF vectorization and cosine similarity to suggest similar titles from a dataset of over 16,000 anime entries also i made Streamlit ui for user interactivity
Technical Skills
AI & Machine Learning
- Neural Networks (CNN, RNN)
- Scikit-learn, PyTorch, Keras
- LLMs & GPT Models
- ADK Agents
- Hugging Face Pre-trained Models
Web Development
- React & React-Native (App Development)
- Next.js
- Express.js
- NeonDB (PostgreSQL)
- three.js
- Node.js
Resume
Download my resume to learn more about my experience, education, and qualifications.
Get in Touch
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