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AI Engineer with less than a year in RAG-based chatbots & deep learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year AI & ML Engineering student skilled in machine learning, deep learning, NLP, and Python. Built RAG-based chatbots using Llama models, FAISS, and LangChain with fast, high-quality responses. Experienced in ML model development, data preprocessing, and deploying applications using TensorFlow, PyTorch, Scikit-learn, FastAPI, and Streamlit. Passionate about creating scalable, well-structured AI solutions.
Sir M.Visvesvaraya Institute of Technology
Bachelor of Engineering · Artificial Intelligence and Machine Learning
December 1, 2022 – June 1, 2026
St.Mary's English High School
Class 12th
January 1, 2020 – January 1, 2021
Sri Krishna Public High School
Class 10th
January 1, 2018 – January 1, 2019
Aereo(Aarav Unmanned Systems Pvt.Ltd.)
Data Science Intern
August 1, 2025 – Present
Bengaluru, Karnataka, India
PCOS Prediction Web App
June 10, 2026 – Present
Built an intuitive Streamlit-based web app for early PCOS detection using SVM, improving accessibility for non-technical users. Achieved 96.29% test accuracy by applying advanced preprocessing techniques and training on 500+ patient records using Python and Pandas.
View ProjectA Cutting-edge approach to combat Digital Deception using Machine Learning
June 10, 2026 – Present
Deep Learning-Based Real vs Fake Image Classification CNN-Based Image Authenticity Detection System Fake Image Detection using Deep Learning (CNN + Grad-CAM)
Cultural Fit Analysis
The candidate's academic background in AI/ML, coupled with an internship focused on developing AI solutions, aligns well with an AI Engineer role. The projects demonstrate a diverse application of ML/DL techniques, from medical diagnosis to digital deception detection and geospatial analysis, indicating adaptability and a broad interest in AI applications. The current internship at 'Aereo' further solidifies the alignment with industry-relevant AI development.
Soft Skills & Operational Fit
The candidate's resume indicates a proactive approach to learning and problem-solving through LeetCode/GFG achievements and Kaggle dataset analysis. The internship experience highlights collaboration and deployment skills, suggesting a good operational fit for roles requiring end-to-end ML lifecycle involvement. The project descriptions are clear and concise, indicating good communication of technical work.