Headline

Artificial Intelligence Engineer Trainee at Rubixe - AI Solutions Company

About

I’m a tech enthusiast passionate about building impactful AI and web solutions. Proficient in Python, Machine Learning, Deep Learning, AI, and Web Development using Flask. Over the past year, I’ve brought multiple ideas to life through diverse projects. Created the Kidney Stone Detection Web App to assist in early medical diagnosis. Developed HematoVision, an advanced blood cell classification system using transfer learning. Built a Conversational Image Recognition Chatbot combining deep learning and NLP. Designed a Real-Time Multilingual Voice Distress Detection App to enhance personal safety. Explored Automatic Vehicle Number Plate Detection using image processing and ML. Always eager to learn through hackathons, courses, and self-driven challenges. My mission: turn innovative ideas into practical, real-world tech solutions.

Location

Greater Bengaluru Area

AI stack

antigravity

claude code

notebooklm

ollama

openai

ChatGPT

Work experience

Artificial Intelligence Engineer Intern at Rubixe - AI Solutions Company, Aug 2026 - Present · 2 mos, Greater Bengaluru Area, • Engaged in four Capstone projects as part of the AIE program, dedicating 20 days to each project. • Successfully received Grade A evaluations on three completed projects, showcasing strong analytical and problem-solving skills. • Currently finalizing the last Capstone project and preparing for the upcoming 30-day Client Project phase. • Developed expertise in artificial intelligence and machine learning applications within a dynamic startup environment.

Artificial Intelligence Engineer trainee at DataMites™, Mar 2026 - Sep 2026 · 7 mos, Bengaluru, Karnataka, India, Joined as a Artificial intelligence Engineering trainee.where I am showcasing my skills to develop my career in new development job market.

AI and ML Intern at SmartInternz, Oct 2025 - Mar 2026 · 6 mos, Remote, During my 6-month internship at Smart Internz, I gained hands-on experience in machine learning, data analysis, and real-world problem solving. The internship focused on applying AI concepts to practical applications and building end-to-end projects. Key Highlights: Developed a project on Rising Water Flood Detection using machine learning techniques. Worked with data preprocessing, feature extraction, and model training to identify flood conditions. Implemented algorithms to analyze water level patterns and predict potential flood risks. Gained experience in Python, data handling libraries (NumPy, Pandas), and visualization tools. Improved skills in problem-solving, debugging, and model optimization. Collaborated in a structured learning environment with mentorship and regular evaluations.

Machine Learning Intern at SmartInternz, Oct 2025 - Mar 2026 · 6 mos, Built a Rising Water Flood Detection system using Python, NumPy, and Pandas — handling data preprocessing, feature engineering, and model training to analyze water level trends and enable early flood risk warning for disaster preparedness.

Machine Learning Intern at SmartInternz, Jun 2025 - Aug 2025 · 3 mos, Completed a 2-month applied machine learning program, building and deploying ML models on real-world datasets in collaboration with a remote team on end-to-end project delivery.

Summer Intern at SmartInternz, Jun 2025 - Jul 2025 · 2 mos, virtual

Education

Bachelor of Technology, Computer Science, Siddartha Institute of Science and Technology, Puttur

Mathematics physics and chemistry, Sai srinivasa junior college

Public links

github: https://github.com/babiazees007