S. Keshav Chandrasekhara

Computer Science Undergraduate | Aspiring DevOps & AI Engineer
Bangalore, IN.

About

Proactive Computer Science undergraduate with a strong foundation in DevOps, Cloud, and AI applications, skilled in Python, Java, and AWS. Proven ability to develop scalable ML-powered systems and robust solutions, demonstrated through impactful projects like a stock market visualization dashboard and a Docker-hosted QA system leveraging Meditron LLM.

Education

Dayanand Sagar College of Engineering
Bangalore, Karnataka, India

B.E.

Computer Science

Grade: 9.06 CGPA

Courses

Ethical Hacking

Introduction to Cloud Computing

Natural Language Processing (NLP)

DevOps

Sadhana PU College
Bangalore, Karnataka, India

PUC

Languages

English
Kannada
Telugu
Hindi

Skills

Programming Languages

Python, Java.

DevOps & Cloud

Docker, Jenkins, Minikube, AWS (S3, EC2), GitHub CI/CD.

Databases

MySQL, MongoDB.

Artificial Intelligence & Machine Learning

ChatGPT, CoPilot, Gemini, Meditron LLM, Natural Language Processing (NLP).

Operating Systems

Linux (Ubuntu).

Libraries & Frameworks

bokeh, numpy, datetime, Sentencetransformers, fastapi, pandas, Swing.

Interests

Technical & Academic

Reading Technical Articles, Research Papers, Learning New Technologies.

Personal Development

Learning Foreign Languages.

Recreational

Playing Badminton, Watching Sports Shows.

Projects

Fin-Dashboard

Summary

Developed a comprehensive stock market visualization dashboard using Python, integrating real-time data from the Yahoo Finance API.

Medical-RAG

Summary

Designed and implemented a Retrieval-Augmented Generation (RAG) Question-Answering system tailored for medical data.

Jmail

Summary

Engineered a simple desktop mail application using Java's Swing system for user communication.

Devops-DeepDetect

Summary

Contributed to the development and deployment of a local machine learning model for image authenticity detection within a DevOps framework.