10/14/2026 updated
100 % available
Aspiring Software Engineer & AI/ML Enthusiast
Coimbatore, India
Only remote
B.E. Computer Science and Engineering (AI & ML)About me
Software Engineer and AI/ML Enthusiast with strong foundations in Data Structures, Object-Oriented Programming, Database Management System, Machine Learning, and Full-Stack Development. Skilled in Python, Java, C++, SQL, JavaScript, and Modern Web Technologies.
Java (Programming Language)JavaScriptArtificial IntelligencePython (Programming Language)Machine LearningSoftware EngineeringSQL DatabasesWeb EngineeringFull Stack Development
Machine Learning & AI
Application of supervised machine learning algorithms for tasks such as demand forecasting and spam detection. Experience with NLP-based classification systems, text preprocessing, and feature extraction using Python and ML frameworks.
Programming Languages
Proficiency in multiple programming languages including C, C++, Python, and Java. Active problem-solving on platforms such as CodeChef (750+ problems) and LeetCode (100+ problems).
Full-Stack Web Development
Design and development of full-stack web applications using HTML, CSS, JavaScript, SQL, Bootstrap, Tailwind CSS, MERN Stack, and REST APIs. Experience building responsive and user-friendly interfaces.
Data Structures & Algorithms
Strong foundation in DSA concepts, demonstrated through certifications and extensive competitive programming practice.
Database Management
Knowledge of DBMS principles and SQL, applied in full-stack projects and supported by a certification in Introduction to Databases.
Object-Oriented Programming
Understanding and application of OOP concepts in software design and development across multiple projects.
Data Analysis
Use of data-driven analysis to improve inventory visibility and demand prediction accuracy, including visualization dashboards and graphical reporting.
Version Control & Development Tools
Familiarity with tools such as Git, GitHub, VS Code, Eclipse, and Excel for software development and project management.
Application of supervised machine learning algorithms for tasks such as demand forecasting and spam detection. Experience with NLP-based classification systems, text preprocessing, and feature extraction using Python and ML frameworks.
Programming Languages
Proficiency in multiple programming languages including C, C++, Python, and Java. Active problem-solving on platforms such as CodeChef (750+ problems) and LeetCode (100+ problems).
Full-Stack Web Development
Design and development of full-stack web applications using HTML, CSS, JavaScript, SQL, Bootstrap, Tailwind CSS, MERN Stack, and REST APIs. Experience building responsive and user-friendly interfaces.
Data Structures & Algorithms
Strong foundation in DSA concepts, demonstrated through certifications and extensive competitive programming practice.
Database Management
Knowledge of DBMS principles and SQL, applied in full-stack projects and supported by a certification in Introduction to Databases.
Object-Oriented Programming
Understanding and application of OOP concepts in software design and development across multiple projects.
Data Analysis
Use of data-driven analysis to improve inventory visibility and demand prediction accuracy, including visualization dashboards and graphical reporting.
Version Control & Development Tools
Familiarity with tools such as Git, GitHub, VS Code, Eclipse, and Excel for software development and project management.
Experience
Professional experience0 - 5 years
Freelancer since2025
Languages
EnglishFluentHindiFluent
Project history
Developed an inventory management system to automatically update stock levels during product arrival and billing processes. Implemented supervised machine learning algorithms to forecast future product demand using historical sales data. Built low-stock alert functionality and improved inventory visibility through data-driven analysis. Technologies: Python, Machine Learning, Data Analysis.
Developed an NLP-based application to classify emails and messages as spam or legitimate. Applied text preprocessing, feature extraction, and machine learning techniques for spam detection. Integrated message history tracking, visualization dashboards, and graphical reports displaying daily spam detection trends. Technologies: Python, NLP, Machine Learning.
Designed and developed a full-stack hotel booking platform with responsive user interfaces. Implemented room search, reservation management, and booking functionalities. Integrated frontend and backend components and optimized website responsiveness across multiple devices. Technologies: HTML, CSS, JavaScript, SQL.