AI Engineer with less than a year in Artificial Intelligence and Web Development.
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Assessing your cultural and operational fit
Highly motivated and results-driven B.Tech Computer Science and Engineering (Data Science) student with a strong foundation in AI, Cloud Computing, and web development technologies. Completed a 90-day internship focusing on AI and Cloud, developing a comprehensive capstone project "Chatbot with Context Memory". Possesses practical experience in building IoT-based agricultural intelligence systems and interactive AI chatbots using various frameworks and APIs. Eager to apply technical skills and problem-solving abilities to innovative engineering roles.
Moodlakatte Institute of Technology
B.TECH Computer Science and Engineering (Data Science) · Computer Science and Engineering (Data Science)
August 1, 2022 – June 30, 2026
Mother Teresa PU College
Karnataka Pre-University Certificate [12th]
June 1, 2020 – May 31, 2022
Mother Teresa Memorial School
Secondary School Leaving Certificate [10th]
June 1, 2018 – May 31, 2020
SuprMentr Technologies Pvt Ltd
Internship
February 1, 2026 – May 31, 2026
India
Chatbot with Context Memory
March 1, 2026 – Present
An AI-powered conversational assistant with session-based memory for coherent multi-turn dialogue, built using a REST API backend and containerised for deployment.
Chatbot with Gemini Integration
September 1, 2025 – Present
Developed an interactive chatbot using HTML and CSS, integrated with the Gemini API for improved user interactions. Designed a dynamic and responsive user interface to enhance user experience. Optimized logic for efficient performance and accurate chatbot responses.
Krishi Darshana - IoT Agricultural Intelligence System
January 1, 2024 – Present
An IoT-based agricultural decision support system integrating real-time sensor data and AI algorithms to predict crop yield and provide smart farming recommendations.
Google Data Analytics Professional Certificate
Coursera
June 1, 2026 – Present
SuprMentr AI with Cloud Computing Internship Certificate
SuprMentr
May 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in AI applications, from agricultural intelligence to conversational agents. The internship in AI with Cloud Computing suggests an alignment with modern tech stacks. The academic nature of all projects and limited professional experience means cultural fit is primarily inferred from project choices and stated skills, which align with an innovative, tech-driven environment.
Soft Skills & Operational Fit
The candidate demonstrates initiative through academic projects and an internship. The project descriptions indicate an ability to work on practical applications of AI. However, without direct work experience beyond an internship, it's difficult to assess operational fit, teamwork, or stress handling capabilities.