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AI Engineer with less than a year in Machine Learning, Deep Learning & Generative AI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI/ML Engineer with hands-on experience in Machine Learning, Deep Learning, NLP, Computer Vision, Generative AI, and Retrieval-Augmented Generation (RAG). Skilled in building AI-powered applications using Python, LangChain, TensorFlow, Scikit-learn, and Vector Databases. Passionate about developing intelligent assistants, automation systems, and production-ready AI solutions.
Laxmi Institute of Technology
Bachelor of Engineering · Information Technology
August 1, 2023 – June 30, 2026
Zetheta Algorithms Pvt. Ltd.
Data Science Intern
January 1, 2026 – March 1, 2026
India
InfoLabz
Python Django Developer Intern
April 1, 2025 – May 1, 2025
India
Resume Screening App
June 1, 2025 – June 1, 2026
• Developed ATS-style resume analyzer using NLP and keyword extraction. • Automated candidate ranking and job-description matching.
YouTube Video Chatbot
June 1, 2025 – June 1, 2026
• Built an AI chatbot that answers questions from YouTube videos using transcript-based retrieval. • Implemented embeddings, vector storage, retrieval pipelines, and prompt engineering. • Developed contextual question-answering using LangChain chains and RAG architecture.
Brain Tumor Detection Using Deep Learning
June 1, 2025 – June 1, 2026
• Built CNN-based MRI tumor detection model achieving 94% accuracy. • Applied image preprocessing and deep learning techniques for medical image classification.
Intro to Deep Learning
Kaggle
January 1, 2025 – Present
Generative AI Fundamentals
Databricks
January 1, 2025 – Present
Machine Learning using Python
Simplilearn
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in diverse AI applications, from chatbots to medical imaging and HR tools, indicating a broad curiosity and adaptability. The certifications further support a proactive learning attitude. However, the experience is primarily academic and internship-based, with limited exposure to diverse team environments or large-scale production systems, which might impact cultural fit in a fast-paced, collaborative senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work independently on complex technical challenges. The internship experiences suggest an understanding of professional development workflows. However, without specific assessment data on collaboration, stress handling, or logical reasoning, a comprehensive evaluation of soft skills and operational fit is limited.