RITIK GAIRE

I AM

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About Me

Graduate Machine Learning Researcher and Backend Engineer with expertise in predictive modeling, statistical analysis, and computer vision. Co-authored a peer-reviewed paper on algorithmic bias in AI systems. Skilled in building ML pipelines, feature engineering, model evaluation, and deploying scalable data systems.

Location: Flint, MI
Email: ritikg@umich.edu


Education
University of Michigan-Flint

M.S. Computer Science & Information Systems (ML/Data Science)

Tribhuvan University

B.S. Computer Science & Information Technology


Experience
University of Michigan-Flint

Graduate Research Assistant (Summer Research)

Roshani Digital Pvt. Ltd.

Backend Developer (Data Systems)

Spyders Lab

Junior Backend Developer


My Skills
Data Analysis Libraries

Scikit-learn, Pandas, NumPy, Feature Engineering, Cross-Validation, Ensemble Models, ROC-AUC, Hypothesis Testing, ANOVA, Matplotlib, Seaborn

Database

PostgreSQL, MySQL, SQLite

Programming Language

Python, SQL

Other Tools

OpenCV, YOLOv8, Object Detection, Video Analytics, AWS, Docker, Git, Linux, Apache Airflow

Web Frameworks

FastAPI, Django, Django Rest Framework, LangGraph

2

ML Projects

2

Years Experience

30

Technologies

1

Publications

WHAT CAN I DO

Machine Learning

Predictive modeling, ensemble classifiers, feature engineering, and model evaluation

Statistical Analysis

ANOVA, correlation analysis, hypothesis testing, and data-driven insights

Computer Vision

Object detection, player tracking, video analytics with OpenCV and YOLOv8

Backend Development

FastAPI, Django REST Framework, PostgreSQL, and scalable microservices

Data Engineering

ETL pipelines, Apache Airflow, data processing at scale

Cloud & DevOps

AWS, Docker containerization, and deployment automation

PUBLICATIONS & RESEARCH


Public Perceptions of Algorithmic Bias and Fairness in Cloud-Based Decision Systems

Peer-reviewed research on algorithmic bias in cloud-based AI decision systems, published in Applied Sciences (MDPI).

___ Ritik Gaire, University of Michigan-Flint ___

Building Predictive ML Pipelines for Sports Analytics

How ensemble classifiers and computer vision are revolutionizing soccer analytics through player tracking and match prediction.

___ Ritik Gaire, Personal Project ___

Multi-Agent AI Systems with Human-in-the-Loop

Building autonomous multi-agent research systems with LangGraph, featuring human-in-the-loop validation and prompt optimization.

___ Ritik Gaire, Personal Project ___
SOME OF MY WORK
All Data Science Machine Learning Web Development
Soccer Match Analytics System

Soccer Match Analytics System
Multi-Agent Research Automation System

Multi-Agent Research Automation System

Start Work With Me

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