Caleb Chandrasekar

AI/ML Engineer & Full Stack Developer
New Delhi, IN.

About

Highly motivated and results-oriented AI/ML Engineer and Full Stack Developer with a strong academic foundation and practical experience in designing, developing, and deploying intelligent systems. Proven ability to collaborate effectively in agile environments, enhance code quality, and lead technical initiatives. Eager to leverage expertise in Python, machine learning, and MERN stack development to drive innovation and solve complex challenges.

Work

Acmegrade
|

ML Engineer Intern

Summary

Contributed to the development and maintenance of artificial intelligence models in an agile environment.

Highlights

Engineered and maintained robust artificial intelligence models utilizing Python, enhancing application functionalities and performance.

Partnered with cross-functional agile teams to successfully design and implement novel AI models, including solutions for music recommendation and precise stock price prediction.

Elevated software reliability and maintainability by implementing rigorous peer code reviews and establishing automated testing procedures.

Volunteer

Geek Room – K. R. Mangalam University
|

Coordinator

Summary

Led and managed various technical initiatives and community-building efforts within the university's tech community.

Highlights

Spearheaded and executed multiple key technology initiatives and workshops, significantly increasing engagement and skill development within the college tech community.

Orchestrated successful hackathons, coding contests, and facilitated numerous student-led projects, fostering a vibrant innovation ecosystem.

Provided mentorship to new students, guiding them in technical skills and actively promoting participation in open-source contributions.

Education

Indian Institute of Technology, Ropar

Minor

Artificial Intelligence

Courses

Artificial Intelligence

Comparison of Learning Algorithms

Machine Learning

K. R. Mangalam University

B.Tech.

Computer Science and Engineering (Specialization in AI/ML)

Courses

Operating Systems

Comparison of Learning Algorithms

Basic Machine Learning Concepts

Awards

PEARS Hackathon Organizer Recognition

Awarded By

Geek Suite

Recognized for significant contributions as an organizer for PEARS Hackathon, one of the largest hackathons hosted by Geek Suite.

KRMU Campus Community Leader Feature

Awarded By

K. R. Mangalam University (KRMU)

Featured by KRMU's official social media for leadership and impactful contributions within the campus community.

GitHub Campus Expert Finalist & Hacktoberfest Contributor

Awarded By

GitHub

Selected as a finalist for the prestigious GitHub Campus Expert program and actively contributed to Hacktoberfest.

Languages

English

Fluent

Skills

Programming Languages

C++, Python, JavaScript, PHP, SQL, TypeScript, Java.

Web Development & Frameworks

React, Node.js, Next.js, Laravel, MERN Stack.

AI/ML Technologies

Langchain, Ollama, HuggingFace, Mistral (Model), Artificial Intelligence, Machine Learning, Time Series Regression, Content-Based Filtering.

Tools & Platforms

Git, GitHub, Docker, Jupyter Notebook, Streamlit.

APIs & Databases

REST APIs, FastAPI, MongoDB.

Projects

Personal Portfolio Website

Summary

Engineered a dynamic and responsive MERN stack portfolio website to effectively showcase a diverse range of personal projects, technical skills, and professional achievements.

Sahayak: Offline Mental Well-Being Companion

Summary

Developed Sahayak, an innovative offline mental well-being companion. This local-first chatbot provides bite-sized coping exercises for stress and anxiety, ensuring complete user privacy by operating entirely on the local machine without cloud dependencies.

Stock-Price Prediction And Music Recommendation

Summary

Created two distinct interactive Python-based applications: one leveraging time series regression for accurate stock price prediction, and another providing personalized music recommendations through advanced content-based filtering algorithms.