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AI Engineer with less than a year in Machine Learning & Generative AI
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Aspiring AI/ML Engineer with MCA and hands-on experience in Machine Learning, Generative AI and Prompt Engineering. Skilled in building ML models, data preprocessing and deploying applications using Flask. Recently trained in Generative AI concepts including prompt design and LLM applications. Passionate about solving real-world problems using AI and actively seeking entry-level opportunities in AI/ML and related domains.
Krupanidhi College of Management
MCA · Computer Application
December 1, 2023 – December 1, 2025
Acharya Institute of Graduate Studies
BCA · Computer Application
June 1, 2017 – November 1, 2020
Prinston Smart Engineers
Machine Learning Intern
July 1, 2025 – August 1, 2025
Bengaluru, Karnataka, India
AI Product Portfolio – Smart Mug using Generative AI Tools
January 1, 2026 – March 1, 2026
• Created a complete product portfolio using Generative AI tools including ChatGPT, Deep AI, and Descript. • Generated product name, tagline, and feature descriptions using prompt engineering techniques. • Designed AI-generated visuals to represent product concepts using Deep AI. • Developed a product pitch video by integrating AI-generated content, visuals, and voice narration. • Demonstrated practical application of Generative AI in marketing and product design.
Thyroid Disease Detection System (ML + Web App)
September 1, 2025 – December 1, 2025
• Developed a full-stack ML web application to predict thyroid disorders using clinical lab parameters. • Built the frontend with HTML, CSS, and JavaScript for form-based input and real-time results display. • Designed the Flask backend for data preprocessing, feature scaling, and ML model inference. • Trained multiple ML models and selected the best performer using accuracy and other evaluation metrics.
Stock Market Price Prediction using Machine Learning
January 1, 2025 – June 1, 2025
• Developed machine learning models to forecast stock closing prices using historical market data. • Performed data cleaning, feature engineering, and time-series analysis to improve model performance. • Trained and evaluated models such as Random Forest and LSTM to compare predictive accuracy.
Travel Ticket Management System
July 1, 2020 – November 1, 2020
• Developed a web-based travel ticket management system to handle booking and cancellation workflows. • Designed and implemented a reporting module to generate usage analytics and support operational decisions. • Improved the user experience through intuitive UI design, making the platform easier and faster to use.
Shopping Portal
January 1, 2020 – May 1, 2020
• Built an online shopping portal with product browsing, cart, and checkout functionality. • Integrated a payment gateway to support secure and seamless transactions. • Created an admin dashboard for inventory and order management, improving oversight and workflow organization.
Generative AI & Prompt Engineering
Udemy
January 1, 2026 – Present
Machine Learning Internship
Prinston Smart Engineers
January 1, 2025 – Present
Data Structures and Algorithms in Python
Coding Ninjas
January 1, 2021 – Present
Introduction to Python
Coding Ninjas
January 1, 2021 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from Generative AI product design to traditional ML applications and web development, indicates a broad interest and adaptability. The target role of 'AI Engineer' aligns well with their recent projects and certifications in Generative AI and Machine Learning. The candidate's proactive pursuit of certifications and an internship demonstrates a self-driven learning attitude, which is a positive cultural fit for dynamic tech environments. However, the experience level is entry-level, which might require more mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, teamwork, communication, adaptability, and time management as soft skills. Project descriptions indicate an ability to work on full-stack applications and integrate various components, suggesting a practical, hands-on approach. The 'Smart Mug' project highlights creativity and an understanding of product development, which aligns with an innovative operational environment. However, without direct interview data, the depth of these soft skills cannot be fully assessed.