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Ambareesh kannan

@ambareeshkannan

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Aspiring software developer with expertise in AI and machine learning.

India

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What I'm looking for

I am looking for a role that fosters innovation and offers growth opportunities.

I am a passionate software developer with a strong foundation in computer science and engineering. My academic journey at Lovely Professional University has equipped me with the skills necessary to tackle complex problems using innovative solutions. I have consistently achieved academic excellence, earning a place on the Dean's List, and have developed a keen interest in artificial intelligence and machine learning.

Throughout my projects, I have successfully built AI-powered systems, such as a hairstyle recommendation engine and a logistics optimization platform, showcasing my ability to integrate advanced technologies like Python, OpenCV, and Flask. My experience with data structures and algorithms has further strengthened my problem-solving skills, allowing me to optimize performance in various applications.

I am eager to contribute my skills and knowledge to a dynamic team that values innovation and creativity. I thrive in environments that challenge me and provide opportunities for growth, and I am excited to take on new challenges in the tech industry.

Experience

Work history, roles, and key accomplishments

Project Hairdo

Self Employed

Mar 2025 - Present (4 months)

Built an AI-powered system that suggests suitable hairstyles based on facial features, integrating image processing techniques to analyze face shape and match it with the best hairstyle using a recommendation algorithm. Enhanced accuracy and user experience through adaptive styling suggestions.

Python OpenCV Machine Learning Image Processing

Reverse Logistics Optimization using GenAI

Self Employed

Feb 2025 - Present (5 months)

Built an AI-powered logistics platform to reduce product returns by analyzing customer behavior and generating pre-purchase prompts. Trained an LLM-based model using LangChain and OpenAI GPT to classify return reasons, with the backend developed using Flask API and the frontend built with Streamlit.

Python Flask Lang Chain Streamlit Google Colab LLM API Development

Binary Search Tree Implementation

Self Employed

Jul 2024 - Present (1 year)

Developed a Binary Search Tree (BST) with operations for insertion, deletion, searching, and traversal. Optimized performance to ensure efficient data retrieval with logarithmic time complexity, demonstrating a strong understanding of DSA concepts through practical implementation in Java.

Java Binary Search Trees Optimization Software Development

Movie Recommender System

Self Employed

Feb 2024 - Present (1 year 5 months)

Developed a Movie Recommender System that provides personalized movie suggestions based on user preferences and viewing history. Implemented collaborative filtering and content-based filtering techniques to improve recommendation accuracy, demonstrating expertise in machine learning algorithms and practical implementation in Python.

Python Pandas NumPy scikit learn Machine Learning Collaborative Filtering Content Based Filtering

Education

Degrees, certifications, and relevant coursework

Lovely Professional University

Bachelor of Technology, Computer Science and Engineering

Grade: 7.8

Activities and societies: Recognized in the Dean Gaining a solid foundation in computer science principles, including programming, data structures, algorithms, and software engineering concepts. Developing strong analytical and problem-solving skills applicable to various computational challenges. Actively participating in hands-on projects to reinforce theoretical knowledge and gain practical experience in software development methodologies.

Pursued a Bachelor of Technology in Computer Science and Engineering, focusing on core computer science principles. Achieved a CGPA of 7.8, demonstrating strong academic performance in the field.

SMHSS School Ayiloor

Intermediate, Science

Grade: 95%

Completed intermediate education with a strong focus on core subjects, achieving a commendable percentage of 95%. Developed foundational knowledge and critical thinking skills essential for higher education.

Gangothri English Medium School

Matriculation, General Studies

Grade: 89%

Completed matriculation with a strong academic record, achieving a percentage of 89%. Gained fundamental knowledge across various subjects, preparing for further academic pursuits.