Open to internships and collaboration
I build machine learning and data products that turn raw information into clear decisions.
Computer Science student at GJUST with a strong foundation in mathematics, statistics, Python, SQL, and predictive modeling.
Portfolio
Research, computer vision, and machine learning work from my latest resume
Leaf Count Estimation for Plant Phenotyping
Engineered an automated CV pipeline using Python and OpenCV that achieved 92% accuracy, reduced manual phenotyping time by 70%, and streamlined analysis through a web-based application for agricultural datasets.
Dog Breed Classification System
Architected a CNN-based model to classify 120+ dog breeds, improved training efficiency by 25% through optimized preprocessing, and built reliable evaluation workflows using Python-based ML libraries.
Research Intern at ICAR-IASRI
During my ICAR-IASRI research internship in New Delhi, I built and evaluated machine learning workflows for plant-image analysis and connected the results to a usable web-based research tool.
Machine Learning Intern at Infosys Springboard
Built a deep learning-based image classification system in Python during the Infosys Springboard virtual internship, handling preprocessing, model training, and performance evaluation end to end.
About Me
Grounded in math, driven by curiosity, focused on useful AI
5+
Featured projects
2027
Expected graduation
8+
Core tools used regularly
I am a Computer Science student with a strong base in mathematics and statistics, currently building my skills in machine learning, data analysis, and intelligent systems. I enjoy working on projects where data can reveal patterns, improve decisions, and power practical user experiences.
My current focus is Python, SQL, and ML tooling like Pandas, NumPy, Matplotlib, and Scikit-learn. I’m especially interested in predictive analytics, retrieval-powered assistants, and projects that translate technical complexity into something people can actually use.
What I bring
Analytical thinking, strong fundamentals, and a habit of learning fast through real projects.
What I am exploring
GenAI product experiences, predictive modeling pipelines, and decision-support tools for real users.
Machine learning
workflows
From raw data cleanup to model experimentation, I build practical ML flows around Python, Scikit-learn, and reproducible notebooks.
Data analysis and visualization
I use statistics and data exploration to surface trends, test assumptions, and communicate insights in a way that supports better decisions.
GenAI assistant prototyping
I explore conversational AI products like InvestaWise, where model outputs need to be helpful, contextual, and understandable for everyday users.
Web prototypes for project showcases
I also build lightweight portfolio and demo interfaces that help ML ideas feel presentable, credible, and easier to understand.
Resume
Education, project experience, and technical foundation
My current path is centered on building strong fundamentals in computer science while applying them through ML, analytics, and GenAI side projects that solve practical problems.
My education
B.Tech Computer Science and Engineering
From Guru Jambheshwar University of Science and Technology, Hisar, Haryana
Relevant coursework includes C/C++, Python, Java, object-oriented programming, data structures and algorithms, DBMS, web development, probability and statistics, and linear algebra.
Senior Secondary Education
Completed higher secondary studies in the science stream, strengthening the base that later shaped my interest in mathematics, statistics, and computing.
Matriculation
Built early academic foundations across mathematics, science, and problem-solving before moving into computer science-focused studies.
Experience
Research Intern
with
ICAR-IASRI
Indian Council of Agricultural Research - Indian Agricultural Statistics Research Institute, New Delhi
Built a computer vision-based system to estimate leaf count from plant images for agricultural phenotyping, trained and evaluated machine learning models, and integrated the results into a web-based application.
Machine Learning Intern
with
Infosys Springboard
Virtual Internship 6.0, Remote
Developed a deep learning-based image classification system using Python, including data preprocessing, model training, and performance evaluation workflows.
Project highlights
InvestaWise
Project focus: financial guidance assistant for Indian users
Built a conversational finance assistant using LLMs and custom retrieval to simplify investment choices and product discovery for users with different levels of financial literacy.
Leaf Count Estimation for Plant Phenotyping
Project type: automated agricultural phenotyping pipeline
Engineered an automated CV pipeline using Python and OpenCV that achieved 92% accuracy and reduced manual phenotyping time by 70%, then integrated the ML outputs into a web application for high-resolution agricultural datasets.
Winner Predictor - Formula 1
Project focus: predictive analytics and model experimentation
Forecasted Formula 1 race winners using historical data from 1953-2024, combining preprocessing, feature engineering, model training, and visualization through Jupyter and Streamlit.
Dog Breed Classification System
Project type: CNN-based image classification system
Architected a CNN-based deep learning model to categorize 120+ dog breeds, improved training efficiency by 25% through optimized preprocessing, and implemented robust Python-based evaluation workflows for reliable performance across diverse test sets.
Get to Know Me
Project focus: showcasing technical work with clarity
Created a personal showcase to present projects, skills, and technical direction with better storytelling around Python, SQL, and machine learning work.
Tools I use to learn and build
C
C++
HTML5
CSS3
JavaScript
Python
SQL
Pandas
NumPy
MySQL
SciKit-Learn
Matplotlib
MongoDB
Java
GitHub
Azure ML
Jupyter
LLM Tools
HTML
CSS
Current focus
Building stronger projects around predictive analytics and applied AI
Right now I’m sharpening the fundamentals that make good ML work reliable: clean data handling, thoughtful feature selection, statistical reasoning, and clearer product communication.
Testimonials
Clients say about me
I had the pleasure of working with Vaibhav Singh on the development of our Financial Assistance Web App, and I must say, the experience exceeded my expectations. From the very beginning, Vaibhav demonstrated exceptional technical expertise, professionalism, and dedication to delivering a high-quality product.
We truly appreciate the exceptional work done on analyzing our cosmetics data. The insights provided were detailed, actionable, and highly valuable in refining our marketing and SEO strategies. The team’s expertise in data science and machine learning helped us understand customer trends, product demand, and online engagement more effectively.
Contact
Let’s build something thoughtful with data and AI
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