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AI Engineer with less than a year in Machine Learning & Computer Vision
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 Engineer with hands-on experience in Computer Vision, NLP, and predictive modeling. Skilled in Python, Scikit-learn, OpenCV, and RESTful API development. Passionate about building scalable AI-driven solutions.
Indore Institute of Science and Technology
B.Tech · AIML
August 1, 2022 – June 30, 2026
Kadel labs
Trainee Software Engineer
July 1, 2025 – January 1, 2026
Bhopal, Madhya Pradesh, India
AI-based Stroke Risk Prediction
June 1, 2026 – Present
• Built supervised ML classification model using Random Forest. • Performed EDA, feature engineering, scaling, and encoding. • Achieved ~90% model accuracy. • Deployed interactive web app using Streamlit.
Interactive Voice Assistant
June 1, 2026 – Present
• Developed NLP-based voice assistant using Python. • Used PyAudio and SpeechRecognition for real-time audio processing. • Implemented GUI using Tkinter. • Enabled automation tasks and chatbot-like responses.
Real-time Inventory & Theft Detection
June 1, 2026 – Present
• Developed AI-powered object detection system using OpenCV. • Integrated REST APIs with JavaScript dashboard. • Applied predictive analytics for sales forecasting. • Improved inventory monitoring efficiency.
Python Basics for Data Science
IBM
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
Introduction to Web Development
IBM
June 1, 2026 – Present
AI for Everyone
IBM
June 1, 2026 – Present
Introduction to Data Science
IBM
June 1, 2026 – Present
Mastering Generative AI and ChatGPT(GFG)
GFG
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (Computer Vision, NLP, predictive analytics, full-stack development) and participation in hackathons suggest adaptability and a proactive learning attitude. The certifications in various AI/ML and web development topics indicate a commitment to continuous learning. The experience aligns well with an AI Engineer role, demonstrating a breadth of relevant skills.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges and deploy functional applications. Participation in hackathons suggests problem-solving skills and a collaborative spirit. However, without specific psychometric or English test scores, a detailed assessment of communication, logical reasoning, stress handling, and team collaboration is not possible.