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AI Engineer with less than a year in Generative AI and NLP
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI & ML undergraduate with hands-on experience in Python, Machine Learning, Generative AI, NLP, Retrieval-Augmented Generation (RAG), and AI-powered application development. Built end-to-end projects using LangChain, FAISS, and Streamlit. Passionate about solving real-world problems with AI and continuously learning modern AI, GenAI, and software development technologies.
Visvesvaraya Technological University (VTU)
B.E · Computer Science and Engineering (AI & ML)
September 1, 2023 – June 1, 2027
Nandi PU College
Pre University
June 1, 2021 – June 1, 2023
RAG-Based PDF Chatbot
June 1, 2026 – Present
Developed a Retrieval-Augmented Generation (RAG) chatbot for querying PDF documents using natural language. Implemented document chunking, embeddings, vector search, and retrieval workflows using LangChain and FAISS. Built an interactive Streamlit interface for document-based question answering. Improved information retrieval from large documents through semantic search techniques.
GoldenFaceAnalyzer
June 1, 2026 – Present
Developed an AI-powered facial analysis web application that evaluates facial proportions using golden-ratio based measurements. Implemented facial landmark detection and scoring workflows using computer vision techniques. Built a full-stack application using React, TypeScript, Express.js, and modern UI components. Deployed a live web application and integrated interactive image upload and facial analysis features.
Customer Churn Prediction
June 1, 2026 – Present
Developed a machine learning model to predict customer churn using the Telco Customer Churn dataset. Performed exploratory data analysis, data cleaning, and feature engineering using Pandas and NumPy. Trained a Logistic Regression model using Scikit-learn and evaluated performance on unseen test data. Achieved approximately 78% prediction accuracy and identified factors influencing customer retention.
Google AI Agents: Intensive Vibe Coding Course
Google Cloud Skills Boost
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects show a diverse interest in AI applications, from NLP/RAG to computer vision and traditional machine learning. This breadth of interest aligns with a dynamic AI engineering environment. The focus on personal projects and a certification from Google Cloud Skills Boost indicates self-motivation and a drive to acquire new skills, which is a positive cultural indicator. However, the lack of professional experience or team-based projects makes it challenging to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions, from data processing to deployment. The summary mentions a passion for solving real-world problems and continuous learning, suggesting a proactive and problem-solving mindset. However, without direct work experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or specific communication styles in a professional setting.