KAVIN KUMARAN S
Chennai
Summary
Dedicated and highly motivated BE graduate specializing in Computer Science AIML with a strong foundation in Python,Java. Seeking an opportunity to contribute to innovative projects and enhance technical expertise in a challenging professional environment.
Overview
1
1
year of professional experience
1
1
Certification
2
2
years of post-secondary education
Work History
Machine Learning Intern
Profenna Technology
05.2025 - 06.2025
- Developed efficient data preprocessing pipelines for faster model training and improved performance.
- Performed exploratory data analysis to identify patterns, trends, and potential features for machine learning models.
- Researched, designed and implemented machine learning applications to solve business problems affecting 75 of users.
Junior Front End Developer
Zealsoft Technology
11.2024 - 12.2024
- I worked as a Junior Front End Developer in zealsoft and worked as a frontend engineer on the project learn hub project which will act as a learning platform for different tools.
- Also, Developed a python project and created a task manager which can be intergrated with other website also to make a interactive webpage.
Education
B.E - Computer Science And Engineering – AIML
CHENNAI INSTITUTE OF TECHNOLOGY
Kundrathur,Chennai-600069 06.2023 - Current
Skills
- HTML
- CSS
- JavaScript
- Expressjs
- Nodejs
- Java
- Python
- C
- SQL
- Mango DB
Certification
- WEB FULL STACK DEVELOPER COURSE Training - 3 Months From Eduskills Academy
- Cisco Networking and Cyber Security
- UI &UX (learn tube)
- Google cloud skill boost
- Ui path (automation implement methodology fundamentals)
Accomplishments
Stock market prediction project
• Project To predict stock prices using historical data through machine learning models and evaluate
their performance for short-term trend forecasting.
• Collected and preprocessed historical stock data; engineered features like moving averages and
volatility indicators
Autonomous vehicle lane detection
• Developed a computer vision-based system to detect road lane markings in real-time using Python
and OpenCV.
• Implemented edge detection, region of interest masking, and Hough Transform to identify lane
boundaries.Enhanced performance with perspective transformation and curve fitting for accurate
lane tracking.
AI student performance representation
• Designed and developed an AI-powered student performance analysis system to assess learning
outcomes and provide personalized insights.mainly working on frontend
Timeline
Machine Learning Intern
Profenna Technology
05.2025 - 06.2025
Junior Front End Developer
Zealsoft Technology
11.2024 - 12.2024
B.E - Computer Science And Engineering – AIML
CHENNAI INSTITUTE OF TECHNOLOGY
06.2023 - Current
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