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AI Engineer with less than a year in Python backend development and machine learning.
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Assessing your cultural and operational fit
Computer Science graduate with hands-on experience in machine learning, data preprocessing, and Python-based backend development. Built ML classification models using Scikit-learn and Pandas, and developed production-grade APIs with FastAPI. Holds a certification in Programming with Generative AI (NPTEL) and Prompt Engineering for AI Systems. Eager to contribute to AI solution development, model validation, and cross-functional collaboration in an aerospace engineering environment.
Jain College of Engineering & Technology
Bachelor of Engineering · Computer Science & Engineering
August 1, 2022 – June 30, 2026
Adarsh PU Science College
Pre-University Science
June 1, 2020 – May 31, 2022
Saint Michael's High School
SSLC
June 1, 2017 – May 31, 2020
Aultum International
Backend Development Intern
May 1, 2026 – Present
Hubli, Karnataka, India
Maternal Health Predictive Analytics System (ParentalGuard)
June 1, 2026 – Present
Designed a predictive analytics framework for maternal health surveillance targeting rural and underserved populations, applying supervised machine learning for health risk classification. Implemented data preprocessing and feature engineering pipelines using Pandas to clean, structure, and prepare health datasets for model training and evaluation. Incorporated encrypted data storage and user-level access controls to ensure data privacy compliance and system reliability.
Conversational AI Assistant (ChatGPT Clone)
June 1, 2026 – Present
Built an AI-powered conversational assistant leveraging natural language processing (NLP) models to simulate human-like dialogue for customer support, education, and creative writing use cases. Designed a customizable, domain-adaptable architecture enabling seamless user interaction and query handling across varied applications.
IoT Fire Detection & Suppression System
June 1, 2026 – Present
Engineered an autonomous fire detection and suppression model using Arduino UNO and MEGA integrated with multiple IoT sensors to detect and extinguish fire in real time. Demonstrated hardware-software integration skills; won 1st place at SDMCET Buildathon and JCET Davangere Buildathon, and 3rd place at CMRIT Bengaluru 24-hour Hackathon.
Programming with Generative AΙ
NPTEL
June 1, 2026 – Present
Prompt Engineering for AI Systems
1 Million Prompters
June 1, 2026 – Present
SQL Basic
HackerRank
June 1, 2026 – Present
Full-Stack Web Developer
Sathvik Softech
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including academic, personal, and hackathon projects, indicates a strong drive for learning and innovation. Participation in a robotics club and hackathons suggests a collaborative and competitive spirit. The pursuit of certifications in Generative AI aligns well with an AI Engineer role, demonstrating initiative and a desire to stay current with industry trends. The candidate's experience is primarily academic and internship-based, which is typical for an entry-level professional, but the breadth of exposure is commendable.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through hackathon achievements and project development. Collaboration is evident from the internship description. The candidate's proactive learning and diverse project portfolio suggest a good work attitude and adaptability, which are positive indicators for operational fit.