Prashanth
Bengaluru, Bangalore Division, Karnataka, India
Experience: 2 years
Open to: Full-Time, Part-Time
Education: Bachelors
Availability: Immediate
Skills: Automation Anywhere, Django, Docker, Git, Jupyter Notebooks, LLMs/ChatGPT, Matplotlib, MySQL, NumPy, pandas, PostgreSQL, Postman, Problem Solving, Python3, React, scikit-learn, TensorFlow
Previously worked at: IT Service Companies
Assessment Score: 60
- Educational Background
Currently pursuing a B.E. in Artificial Intelligence & Machine Learning from Mangalore Institute of Technology and Engineering, with a CGPA of 8.5. Completed relevant courses in data visualization and applied machine learning, along with certifications from Google, TATA, and the University of Michigan. - Professional Experience
Worked as an AI Generalist at Sahajseva Digital Consultancy from May 2024 to October 2024, where the focus was on developing scalable solutions and collaborating with product teams for functionality and performance improvements. Also worked as a Full Stack Developer Intern at AIDN Health from April 2023 to December 2023, contributing to frontend development using React Native for health management app features. - Key Projects
Led the development of a content posting automation system to streamline workflow efficiency. Designed a comprehensive Travel CRM using React.js, TypeScript, and AWS, which improved customer satisfaction and operational efficiency. Also developed a chatbot using NLP for candidate queries and deployed it using Flask and JavaScript. - Machine Learning and AI Projects
Developed an AI-based system for medical leaf characteristic estimation using VGG-16 and Random Forest classifiers. The system was aimed at improving biodiversity conservation and enhancing herbal remedy efficacy. Contributed to machine learning models for market research and business analytics at Feynn Labs. - Internship Experience
Completed a Machine Learning Internship at Feynn Labs, focusing on business analytics and AI prototyping. Also interned at Accolade Tech Solutions, working on a real-time Fire Alert System using YOLOv3 for object detection, contributing to the project’s successful implementation and user interface development. - Skills and Technologies
Proficient in Python, React Native, JavaScript, TensorFlow, scikit-learn, Flask, and machine learning frameworks. Experienced with data visualization, SQL, and cloud technologies such as Digital Ocean and Docker. Skilled in applying AI techniques to solve real-world problems across various domains.