
AI Engineer with less than a year in Python, AI/ML & Web Technologies
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Assessing your cultural and operational fit
Motivated Information Science graduate from Cambridge Institute of Technology, Bengaluru with a strong academic foundation (CGPA: 8.0) and hands-on experience in Python, SQL, and full-stack development. Demonstrated ability to build scalable systems, integrate AI/LLM technologies, and deliver real-world projects. Seeking a technology analyst role at Deloitte to contribute to impactful client solutions and digital transformation initiatives.
Cambridge Institute of Technology
B.E. · Information Science
August 1, 2021 – June 30, 2025
Sri Chaithanya Junior College
Class XII · MPC Stream
June 1, 2019 – May 31, 2021
Perprodcorp
Full Stack Development Intern
October 1, 2025 – June 1, 2026
Bengaluru, Karnataka, India
INFIDATA Technologies
Machine Learning Intern
October 1, 2025 – June 1, 2026
India
Personalized Food Recommendation System
January 1, 2025 – December 31, 2025
Built an AI-powered food recommendation engine that personalizes suggestions based on user mood, location, and dietary preferences. Integrated OpenAI LLM to generate context-aware recommendations; used Google Places API to fetch nearby restaurants with live directions. Delivered a seamless full-stack experience with React.js front-end and Node.js back-end, serving real-time personalized results.
Online Movie Ticket Booking System
January 1, 2025 – December 31, 2025
Designed and built a full-stack ticket booking platform supporting real-time seat availability, user authentication, and booking confirmation. Leveraged Firebase for real-time database updates and authentication, ensuring a smooth experience for both users and theatre admins.
Mobile Store Management System
January 1, 2025 – December 31, 2025
Developed a complete store management solution covering customer registration, order processing, and inventory tracking. Designed a normalized relational database schema in MySQL for efficient data retrieval and transaction management.
Personal Portfolio Website
January 1, 2025 – December 31, 2025
Built a responsive portfolio site featuring project showcases, skills, and a modern UI with smooth CSS animations, accessible across all devices.
Machine Learning using Python – INFIDATA Technologies Internship Certificate
INFIDATA Technologies
June 1, 2026 – Present
Basic Machine Learning Lab Hands-on Hackathon - Certified Participant
Unknown
June 1, 2026 – Present
Python (Basic) Certificate
HackerRank
June 1, 2026 – Present
Full Stack Development - Course Completion Certificate
Unknown
June 1, 2026 – Present
Exploring IoT Concepts through Python Programming - Course Completion Certificate
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a good breadth of technical interests, from full-stack development to AI/ML applications. The 'Personalized Food Recommendation System' project, in particular, demonstrates an innovative approach and integration of modern AI technologies, which aligns well with a forward-thinking, AI-focused role. The internships in both Machine Learning and Full Stack Development indicate a willingness to learn and adapt to different technical domains. However, the candidate's experience level is entry-level, which might require significant mentorship and ramp-up time in a senior-level environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to deliver seamless user experiences and collaborate on API design, suggesting good problem-solving and teamwork skills. The focus on real-time systems and personalized recommendations aligns with operational needs for dynamic AI applications. However, without specific psychometric or English test scores, a deeper assessment of communication clarity, work attitude, stress handling, and team collaboration is not possible.