Available for ML / AI roles · Summer 2026

Gagan RBuilding intelligent systems.

Machine Learning Engineer Intern · AI & Data Science Enthusiast.Based in Bengaluru, building intelligent systems with measurable impact.

8.3
CGPA
ML Intern
FlyRank AI
4+
Featured Projects
7+
Certifications
GR
Gagan R
ML · Data Science · AI
Predictive Model
AUC 0.92 · Calibrated
RAG Assistant
LLM · Vector DB
Customer Analytics
FastAPI · MLOps
Production-ready
About

From data to decisions

I am a Bachelor of Engineering student in Information Science and Engineering at Akash Institute of Engineering and Technology, graduating in 2027.

I specialize in Machine Learning, Data Science, predictive analytics, customer intelligence, Generative AI and Large Language Models — and I enjoy transforming raw data into intelligent systems that generate measurable business impact.

PythonMachine LearningLLMsFastAPIAnalyticsSQL
  • 2023
    Started B.E. in Information Science

    Akash Institute of Engineering and Technology.

  • 2026
    ML Engineer Intern · FlyRank AI

    Building ML pipelines for AI-powered applications.

  • 2027
    Expected Graduation

    Bachelor of Engineering, Information Science.

Experience

Hands-on, in production

Machine Learning Engineer Intern

FlyRank AI
Jun 2026 — Aug 2026
  • Developed machine learning pipelines for AI-powered applications
  • Built feature engineering and preprocessing workflows
  • Assisted in experimentation and model evaluation
  • Worked with large-scale datasets
  • Improved predictive model performance
  • Supported deployment-ready AI systems
Skills

Technical stack

A toolkit built around shipping ML, analytics and AI products end-to-end.

Machine Learning

  • Classification92%
  • Regression90%
  • Clustering85%
  • Predictive Modeling90%
  • Feature Engineering88%
  • Hyperparameter Tuning84%

Data Science

  • EDA92%
  • Statistical Analysis88%
  • A/B Testing86%
  • Hypothesis Testing85%
  • Bayesian Inference78%
  • Customer Analytics90%

Artificial Intelligence

  • Generative AI88%
  • Prompt Engineering90%
  • LLM Applications86%
  • Conversational AI84%
  • RAG Systems86%
  • Text-to-SQL82%
Programming
PythonSQLJavaJavaScriptC
Frameworks
Scikit-LearnPandasNumPyFastAPISQLAlchemy
Tools
TableauPower BIGitGitHubJupyter
Services

What I build

Machine Learning Solutions

Predictive models and ML systems that turn business questions into actionable insight.

Data Science & Analytics

Statistical analysis, EDA and advanced analytics that surface what matters in the data.

Customer Analytics

Segmentation, churn prediction, CLV and retention analytics tailored to your funnel.

Generative AI Solutions

RAG systems, AI assistants and conversational analytics powered by modern LLMs.

MLOps & Deployment

Production-ready ML pipelines and scalable FastAPI services built to ship.

Business Intelligence

Interactive dashboards, KPI tracking and visualization that drives decisions.

Featured Projects

Selected work

A few projects that show how I move from problem framing to a deployed, measurable outcome.

+18% retention lift

Customer Segmentation & Retention Analytics Platform

End-to-end customer intelligence: RFM segmentation, churn prediction and CLV estimation with a retention insights dashboard.

  • RFM Segmentation
  • Churn Prediction
  • CLV Estimation
  • Retention Recommendations
  • Insights Dashboard
PythonScikit-LearnSQLFastAPI
3× faster ad-hoc analysis

Conversational Analytics Agent

An LLM-powered business analyst: ask questions in natural language, get answers from your knowledge base and SQL warehouse.

  • Retrieval-Augmented Generation
  • Text-to-SQL
  • Natural Language Queries
  • Knowledge Base Search
  • BI Assistant
PythonLLMsFastAPIVector DB
95% confidence reporting

A/B Testing & Experimentation Framework

Statistical experiment design, hypothesis testing and automated reporting for product and growth teams.

  • Experiment Design
  • Hypothesis Testing
  • Significance Analysis
  • Automated Reporting
  • Decision Support
PythonStatisticsSQLPandas
−42% calibration error

Uncertainty Quantification in ML Classifiers

Trustworthy ML: model calibration, reliability analysis and confidence estimation for high-stakes classifiers.

  • Model Calibration
  • Reliability Analysis
  • Platt Scaling
  • Isotonic Regression
  • Confidence Estimation
PythonScikit-LearnMachine Learning
Open Source

On GitHub

A live snapshot of what I build, ship and contribute to.

Contributions · last 6 months
LessMore
20+
Repositories
300+
Commits
12
Featured
Top Languages
Python62%
SQL18%
JavaScript12%
Other8%
Certifications

Credentials & achievements

Oracle
Oracle Data Science Professional
IBM
IBM RAG Applications
Amazon Web Services
AWS Machine Learning Foundations
Microsoft
Microsoft Generative AI Fundamentals
Cisco
Introduction to Data Science
Anthropic
Claude with Google Vertex AI
Anthropic
Claude with Amazon Bedrock
Contact

Let's build something amazing

Open to ML/AI internships, full-time roles and freelance collaborations.