Yogesh R | CSE Student

Hi, I'm Yogesh R.

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Self-driven, quick starter, passionate programmer with a curious mind who enjoys solving a complex and challenging real-world problems.

About

I am a final year Computer Science student at the Indian Institute of Technology Palakkad. I aspire to become a successful expert in Computer Science by channelizing my technical knowledge and skills to ensure personal, professional growth and contribute to the organization’s prosperity.

Languages: C++, Python, C, SQL
Software Development Technologies: Angular, Flutter, Django, GraphQL, Git, Docker, AWS
Artificial Intelligence: Machine Learning, Deep Learning with TensorFlow
Additional Technologies: Linux OS, Automation with Python

Experience

ABB

Data Analyst Intern

Developed an elegant AI model to optimize energy usage in data centres
Made many data visualization and analysis to scrutinize and preprocess the data effectively
Worked on many modelling approaches like ANN, LSTM, XGBoost, etc
AI models were built using TensorFlow and logged using MLflow
Tools: TensorFlow, MLflow, Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn,

June 2021 - Aug 2021 | Bangalore, India

DETECT Technologies

Software Development Intern

Developed a web portal to facilitate the company’s administrative processes, such as supply-chain and inventory management.
Full-stack development with Angular, Django, PostgreSQL and AWS S3
Deployed in AWS EC2 with Nginx web server

Tools:

Jun 2020 - Aug 2020 & Dec 2020 | Chennai, India

Panasonic

Research & Development Intern

Developed a software involving image processing using artificial intelligence
Tools: Python, OpenCV, TensorFlow, Numpy, Matplotlib, Scikit-learn

Dec 2019 | Cochin, India

Projects

meet.me

A discussion board application tailored for teams to brainstorm ideas.

Accomplishments

Role: Technical Architect
Tools: .NET 5, Nunit 3
It contains features such as chatting, whiteboard, screen-share, summary generation and telemetry

Pegasus - Driver Assistance

A mobile app to assist driver by warning obstacles ahead.

Accomplishments

Tools: Flutter, and Django
The app detects obstacles based on the reading from the accelerometer.
When an obstacle is detected, it is updated to the server and thus any other drivers on the same route will be warned of the upcoming obstacle.