AI & Machine Learning CSE Student

UTKARSH THAKUR

Computer Science Engineering AI & Machine Learning

+91-892******* **************@*****.***

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Professional Summary

Computer Science Engineering student specializing in AI and Machine Learning, with hands-on project experience in odor classification concepts, digital land governance, and web development. Interested in building practical AI-driven applications by combining machine learning, Python programming, and software development. Education

Sharda University Expected Graduation: 2028

B.Tech in Computer Science and Engineering (AI & Machine Learning) Third Year Technical Skills

Programming: Python, C++

Web Development: HTML, CSS, JavaScript, MERN Stack AI/ML: Machine Learning, Classification, Model Evaluation Libraries: Pandas, NumPy, Scikit-learn

Backend & Tools: FastAPI, REST APIs, Git, GitHub

Other Areas: GIS-based Applications, Sensor Data Analysis Experience

Artificial Intelligence Intern May 2026 – June 2026 Codec Technologies Pvt. Ltd.

• Completed a one-month Artificial Intelligence internship program from 27 May to 25 June 2026.

• Gained exposure to AI concepts and practical learning through the internship program. MERN Stack Intern June 2026 – July 2026

CodeSquadz Education Pvt. Ltd.

• Completed an internship focused on MERN Stack development and web application fundamentals.

• Gained exposure to React and modern web development concepts through learning and practical exercises. Projects

AI Nose – AI-Based Electronic Nose for Odor Classification

• Designed a machine learning-based electronic nose concept to classify odor patterns using gas-sensor readings.

• Explored a Python-based ML workflow using Pandas, NumPy, and Scikit-learn for data processing, training, evaluation, and prediction.

• Investigated temperature and humidity effects and sensor-drift handling as challenges in odor classification. BhuNexus – Digital Land Governance Platform

• Developed a prototype concept for organizing parcel-level information and demonstrating digital access to land records.

• Built an interactive interface using HTML, CSS, and JavaScript, with Python and FastAPI for backend functionality.

• Used synthetic JSON parcel data to demonstrate parcel search and structured land-record information. Flipkart Clone – E-commerce Frontend

• Developed an e-commerce frontend inspired by Flipkart, focusing on product browsing and shopping workflows.

• Implemented shopping cart functionality for adding products and managing selected items. Student Performance Predictor

• Worked on a student performance prediction project focused on analyzing student-related information. AI Chat-Based Query System

• Developed a chat-based application concept for interactive user queries and AI-generated responses. Certifications

• Machine Learning by Stanford – Cursa, 25 hours 9 minutes, January 2026.

• Artificial Intelligence Internship Certificate – Codec Technologies Pvt. Ltd., June 2026.

• Web Development Course (A Grade) – STP Computer Education, July 2024 – June 2025.

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