Pioneering Data & Quantum Architectures
I am Thrilok M, currently pursuing my MSc in Data Science at Christ University, Bangalore (Yeshwanthpur Campus). My academic and professional journey is defined by a strong curiosity for computing paradigms, leading me from a BCA in Data Analytics at St. Joseph's University to exploring the frontiers of Machine Learning, Generative AI, and Quantum Computing.
As the Head of the Quantum Club at Christ University, I focus on building communities around quantum information sciences, organizing Qiskit hackathons, and developing algorithmic simulation models. I am passionate about engineering production-grade software architectures, MLOps automation pipelines, and high-performance frontend interfaces.
Core Interests
- Machine & Deep Learning
- Quantum Information Systems
- MLOps & Cloud Engineering
- Full-Stack Development
- Academic & Applied Research
Technical Mastery
Categorized expertise across coding, modeling, and system architectures.
Machine Learning Research Assistant
Academic- Exploring quantum computing simulation runtimes, investigating algorithms for noisy intermediate-scale quantum (NISQ) frameworks.
- Developing Python and Streamlit dashboard prototypes to visualize multidimensional statistical models.
- Writing clean scientific documentation and study outlines on advanced neural networks and quantum gate structures.
Data Science Intern
Internship- Conducted exploratory data analysis (EDA) and data preprocessing on complex datasets, improving model input cleanliness.
- Developed and evaluated predictive machine learning classification and regression models using scikit-learn.
- Performed detailed feature engineering and statistical data analysis to identify significant data patterns and metrics.
MSc (Master of Science) in Data Science
Current StudentFocusing on advanced machine learning algorithms, deep learning, statistical modeling, big data tools, research methodologies, and quantum computing frameworks.
BCA (Bachelor of Computer Applications) in Data Analytics
CGPA: 7.59Acquired strong foundations in data structures, algorithms, databases, statistics, exploratory data analysis (EDA), and machine learning concepts.