Caleb Chandrasekar - AI/ML Engineer & Full Stack Developer

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 Experience

ML Engineer Intern

Acmegrade

Dec 2025 - Present

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

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.

Education

Artificial Intelligence

Indian Institute of Technology, Ropar

Courses

Artificial Intelligence
Comparison of Learning Algorithms
Machine Learning

Computer Science and Engineering (Specialization in AI/ML)

K. R. Mangalam University

Courses

Operating Systems
Comparison of Learning Algorithms
Basic Machine Learning Concepts

Volunteer

Coordinator

Geek Room – K. R. Mangalam University

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

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.

Projects

Personal Portfolio Website

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

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

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.

Awards

PEARS Hackathon Organizer Recognition

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

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

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