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AI Engineer with 1+ years in Machine Learning & Python
Highly motivated and results-driven individual with hands-on experience in Python programming and machine learning. Developed a Retrieval-Augmented Generation (RAG) project for natural language answer generation and implemented data pipelines. Proficient in machine learning model development for student performance prediction, AI applications for document interaction, and network security threat detection. Eager to contribute technical skills and innovative solutions to challenging projects.
Poornima Institute of Engineering and Technology, Jaipur
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Adavance Children Academy Sr. Sec. School
Class XII · Senior Secondary (RBSE)
N/A – May 31, 2022
Adavance Children Academy Sr. Sec. School
Class X · Secondary (RBSE)
N/A – May 31, 2020
Airlinq Technology Pvt. Ltd
Intern
May 1, 2025 – July 1, 2025
Jaipur, Rajasthan, India
Vaibhav Global Pvt. Limited
Intern
June 1, 2024 – August 1, 2025
Jaipur, Rajasthan, India
Machine Learning Model for Predicting Student Performance
January 1, 2025 – December 31, 2025
Developed a Linear Regression model to accurately forecast individual student marks based on historical data. Tools & technologies used: Python, Scikit-learn, Flask, Linear Regression Delivered a working, end-to-end application powered by Python for instant.
Chat with PDf
January 1, 2025 – December 31, 2025
Developed an AI application enabling users to chat with PDF documents by converting document content into searchable vector embeddings. Tools & technologies used: Python, Pinecone Vector DB, Large Language Model (LLM) Implemented a RAG pipeline to retrieve relevant context from the document and generate accurate, natural language answers to user queries.
Network Security Threat Detection
January 1, 2024 – December 31, 2024
Developed a Machine Learning pipeline to analyze network traffic and identify anomalies, achieving high-accuracy threat classification. Tools & technologies used: Python, Scikit-learn, Flask, Pandas Optimized the detection algorithm for real-time performance.
Machine Learning, Deep Learning & MLOps with Python: Udemy 100 Hours
Udemy
January 1, 2024 – Present
Core Java Certification
NPTEL
January 1, 2024 – Present
Web Development
Grass Solution Pvt. Limited
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's personal projects demonstrate a strong interest and initiative in AI/ML, aligning well with an AI Engineer role. The diversity of projects (student performance prediction, chat with PDF, network security) shows a broad curiosity within the AI domain. The internship experience, though limited, indicates an ability to work within a company structure. The candidate is still pursuing a bachelor's degree, suggesting a growth mindset and eagerness to learn, which can be a good cultural fit for dynamic teams. However, the lack of team-based projects or explicit collaboration experiences makes it difficult to fully assess cultural fit beyond individual drive.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to develop end-to-end applications and optimize algorithms, suggesting problem-solving and practical application skills. The internship experience at Vaibhav Global Pvt. Limited, involving website updates and bug resolution via Jira, points to an understanding of operational workflows and issue tracking. However, specific soft skills like teamwork, leadership, or communication in a professional setting are not explicitly detailed.