AI Engineer with less than a year in Machine Learning, Deep Learning, and Blockchain Development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Computer Science student with a strong foundation in data science, machine learning, and blockchain technologies. Possesses practical experience in developing AI-powered applications, predictive models, and smart contracts. Eager to apply analytical and technical skills to solve complex problems and contribute to innovative projects.
Chandigarh University
B.E. · Computer Science
August 1, 2022 – June 30, 2026
Satluj Senior Secondary School
Intermediate · PCM
June 1, 2021 – May 31, 2022
Satluj Senior Secondary School
Matriculation
June 1, 2019 – May 31, 2020
Metacrafters
Blockchain Summer Trainee
June 1, 2024 – August 1, 2024
India
RAG-Based AI Teaching Assistant
March 1, 2026 – May 1, 2026
Developed a Retrieval-Augmented Generation (RAG) system using 18 DSA lecture videos, eliminating manual search effort. Implemented semantic retrieval over 1000+ subtitle segments using embeddings and cosine similarity for accurate context extraction. Integrated LLaMA API to generate context-grounded responses, reducing hallucination and improving answer relevance. Designed an end-to-end pipeline including preprocessing, embedding generation, vector search, and response synthesis. Deployed a live AI application on Railway enabling real-time query resolution.
Customer Churn Prediction
December 1, 2025 – December 1, 2025
Performed exploratory data analysis on 7000+ customer records to identify key churn drivers such as tenure and billing patterns. Built and evaluated ML models (Logistic Regression, Random Forest, MLP) using metrics like accuracy and ROC-AUC. Applied feature engineering and preprocessing techniques to improve model performance. Developed a Streamlit-based application for real-time churn prediction and decision support.
AI-Based Crop Disease & Yield Prediction
June 1, 2025 – July 1, 2025
Trained a CNN model on 54,000+ plant images across multiple disease classes, achieving 92% accuracy. Applied data augmentation and preprocessing techniques to enhance model generalization. Built a regression-based ML pipeline for crop yield prediction using environmental parameters. Deployed a Flask web application enabling real-time disease detection and yield insights.
Data Science Course
CodeWithHarry
November 1, 2025 – Present
Cloud, IoT & Edge ML (Elite)
NPTEL IIT Kanpur
April 1, 2025 – Present
Data Analytics Simulation
Deloitte Forage
April 1, 2025 – Present
Data Visualisation
Tata Forage
June 1, 2024 – Present
Data Science with Python
Infosys Springboard
June 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in AI/ML applications, aligning well with an AI Engineer role. The diversity of projects (NLP, computer vision, predictive analytics) shows a broad curiosity and willingness to explore different domains within AI. The blockchain internship, while not directly AI-related, indicates an openness to learning new technologies and a versatile mindset. The certifications further reinforce a commitment to continuous learning in data science and related fields.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to problem-solving and an ability to work on end-to-end solutions, from data preprocessing to deployment. The academic projects suggest a capacity for independent work and learning. However, without direct interview data, it's difficult to assess communication, teamwork, or stress handling abilities.