Kunal Bainsla
Building intelligent systems with Machine Learning, Deep Learning and Generative AI.
About Me
I am a 2nd Year B.Tech student in Cyber Security dedicated to mastering the art and science of Machine Learning, Deep Learning, and Artificial Intelligence.
My focus lies in constructing robust predictive pipelines, designing clean neural network architectures, and experimenting with next-generation Generative AI and Agentic AI workflows.
Bridging computer science fundamentals with practical AI engineering, I write clean, modular Python code backed by solid mathematical intuition and exploratory data analysis.
Bachelor of Technology (B.Tech) in Cyber Security
AI & Machine Learning Roadmap
Systematic progression from programming fundamentals to autonomous agentic intelligence.
Python
Core language fluency, OOP design, file handling, and algorithmic problem solving.
Data Science
Exploratory Data Analysis (EDA), missing value treatment, feature encoding, and statistical charts.
Machine Learning
Supervised and unsupervised models, cross-validation, hyperparameter tuning, and leak-free pipelines.
Deep Learning
Multi-layer perceptrons, backpropagation dynamics, loss optimization, and activation modeling.
Generative AI
Embeddings, vector stores, semantic search, and Retrieval-Augmented Generation (RAG) workflows.
Agentic AI
Autonomous decision loops, tool calling, multi-agent collaboration, and secure AI execution.
Skills & Core Stack
Categorized technologies, analytical methods, and development tools leveraged across machine learning and AI workflows.
Programming
Data Science
Machine Learning
Deep Learning
AI
Tools
Featured Projects
Practical machine learning pipelines, predictive classifiers, and software architectures built with Python.
Movie Recommendation System
Recommendation system that suggests movies based on user preferences and similarity between movies.
Library Management System
Object-oriented Python application for managing books, users, borrowing and returning operations.
Loan Approval Prediction
Machine learning application that predicts loan approval using preprocessing and classification models.
Titanic EDA & Preprocessing
Exploratory data analysis and preprocessing of the Titanic dataset to identify patterns and prepare data for machine learning.
Heart Disease & Heavy Equipment Prediction
Predictive machine learning models built covering binary classification for cardiac health risk and regression for equipment valuations.
Experience & Timeline
Applied software development, AI model experimentation, and undergraduate engineering journey.
Practical Development & Projects
Practical AI & Software Developer
ActiveBuilding practical AI/ML models, deep learning architectures, and data engineering pipelines. Experimenting with predictive classification, recommendation systems, and autonomous agent workflows.
- Engineered end-to-end ML pipelines with scikit-learn, TensorFlow, and Pandas
- Designed algorithmic recommendation engines using vector similarity matrices
- Practicing structured software engineering with clean OOP principles and Git version control
B.Tech Student Researcher
AcademicExploring the synergy between machine learning and security systems—investigating adversarial robustness, safe AI execution, and algorithmic threat modeling.
- Analyzing data security and preprocessing safeguards for AI inference pipelines
- Studying network fundamentals, cryptographic principles, and defense architectures
Formal Education
Bachelor of Technology (B.Tech)
Let's Build Something Intelligent.
Open to AI/ML engineering internships, research collaborations, and open-source intelligence projects.
Direct Connect
Have an internship opportunity, a machine learning challenge, or want to discuss AI security? Reach out directly.