SAI RITHWIK NOOGURI Open to opportunities

AI ENGINEER & DATA SCIENTIST

Intelligence,
made useful.

I turn complex data into clear decisions.
And ambitious ideas into things that work.

Explore my work ↘Let's build together ↗

✳ AI ENGINEER

↗ DATA → IMPACT

SAI RITHWIK HUMAN BEHIND THE AI

A LITTLE CURIOSITY. A LOT OF POSSIBILITY.

01 / MEET THE BUILDERMOVE YOUR CURSOR

Applied AI✳Data Engineering✳Machine Learning✳Analytics✳Research

01 / SELECTED WORK

Built with curiosity.
Backed by purpose.

From housing affordability to adaptive fraud detection · work that connects technical depth with a practical problem.

JACKSONVILLE / RENTAL AFFORDABILITYDATA → CLARITY

Raw data→Clean & validate→Insights

20%less time preparing data

PYTHON + ETL + TABLEAU

01 / DATA ENGINEERING2025

Making housing data
make sense.

A repeatable pipeline and Tableau dashboards that bring Jacksonville rental affordability into focus.

Explore the project +

The challenge

Bring fragmented rental housing records together into a reliable dataset for affordability research.

My contribution

Collected, cleaned, and integrated records with Python and C. Built ETL workflows, Tableau dashboards, and version-controlled preparation pipelines.

The result

Reduced data-preparation time by 20%, giving researchers more time to investigate affordability trends.

ADAPTIVE FRAUD DETECTIONRESEARCH / 2025

TRANSACTION

ML + REINFORCEMENT LEARNING

LEARNDECIDEADAPT

CLASSICAL ML × DEEP REINFORCEMENT LEARNING

02 / PUBLISHED RESEARCHIJSRET

Fraud evolves.
Detection should, too.

Exploring adaptive credit card fraud detection through machine learning and deep reinforcement learning.

Read the research ↗

GKB LAB / CUSTOMER INTELLIGENCEML → BUSINESS

40%

less manual reporting

SQL→Azure ML→Power BI

03 / PREDICTIVE ANALYTICS2023–24

Turning customer signals
into smarter decisions.

Churn modeling and automated KPI dashboards connecting operational data to retention and sales.

Explore the project +

My contribution

Analyzed CRM data with Python and SQL, built Power BI dashboards with automated refresh, and applied Azure ML regression models to forecast churn.

The result

Reduced manual reporting by 40%. The modeling work supported reported improvements of 15–20% in retention and sales.

ROLEFIT STUDIOIN DEVELOPMENT

A better fit.
One page.

Resume+Job description→Tailored draft

04 / PERSONAL TOOLBUILDING NOW

Less friction.
More thoughtful applications.

A resume and cover-letter tool I’m refining to improve job-description alignment, skills formatting, and one-page output.

Inside the build +

RoleFit Studio is an ongoing personal project. Current work focuses on cleaner skill extraction and consistent one-page resume layouts. It is not yet presented as a public product.

Ask me about the build ↗

DOCUMENT INTELLIGENCEPERSONAL PLATFORM

Answers.
With evidence.

Documents→Retrieve + rerank→Cited answers

05 / APPLIED AIRAG PLATFORM

A source behind
every answer.

A document RAG platform with parent/child chunking, two-stage retrieval, reranking, and page citations. Built with React, Flask, PostgreSQL, ChromaDB, and Gemini.

Inside the architecture +

Designed the path from PDF upload to a cited answer, preserving document context through structured chunks and a multi-stage retrieval pipeline.

Extended the platform with API tokens, webhooks, agent-triggered forms, and audit trails. The platform remains an ongoing build.

Read my build notes ↗

RESEARCH & WRITINGAI IN PRACTICE

Build it.
Understand it.

LLMsRAGApplied research

06 / IDEAS IN PUBLIC2026

Making complex AI
easier to understand.

Writing and research on large language models, advanced ML, and retrieval architectures. Connecting technical ideas with the people who use them.

Explore the writing +

Advanced AI & Machine Learning Models

A practitioner’s guide spanning neural networks, transformers, RAG, and reinforcement learning.

Read the book ↗

Vectorless RAG

My exploration of retrieval approaches for constrained environments.

Read the discussion ↗

GOOD ENGINEERING SHOWS UP IN THE OUTCOME.

40%

Less manual reporting

Automated dashboards · GKB Lab

20%

Faster data preparation

Rental housing research · Jacksonville

25%

Fewer recurring data issues

SQL validation · Kundan

02 / THE JOURNEY

Real problems.
Hands-on experience.

MAY 2025 · PRESENT

Data Science Intern

Jacksonville Rental Housing Project

Building reliable datasets and repeatable ETL workflows to help researchers understand rental affordability.

PythonTableauETLParquet

AUG · DEC 2025

Research Fellow & Digital Content Developer

UNF Florida Blue Center for Ethics

Connected AI research, writing, and digital experiences. Developed website content and published commentary on AI’s impact on work.

AI ResearchTypeScriptContent Strategy

NOV 2023 · JUN 2024

Data Scientist Intern

GKB Lab Inc.

Translated CRM and operational data into automated reporting, KPI dashboards, and customer churn predictions.

PythonSQLAzure MLPower BI

SEP 2021 · NOV 2023

Data Scientist

Kundan Jewellers and Exporters

Built recurring data-processing pipelines, SQL validation checks, and dashboards to support reporting and quarterly planning.

PythonSQLPower BI

HI, I’M SAI.

03 / THE PERSON BEHIND THE PIPELINES

Part scientist.
Part builder.
Always curious.

UNITED STATES

Hi, I’m Sai. I like the moment when a complicated problem becomes something someone can actually use.

My work spans data science, machine learning, and applied AI · from getting messy data into shape to building predictive models and exploring LLM-powered tools.

I also write about the human side of AI. Because understanding what we can build is only half the question. The other half is what it means for people.

Read my perspective on AI & work ↗

UNIVERSITY OF NORTH FLORIDA

MS in Data Science

View degree credential ↗

04 / THE TOOLKIT

From raw data
to real-world systems.

AI & Machine Learning

Anthropic Claude · Claude Code · OpenAI · Google Gemini · xAI Grok · RAG · Agentic patterns · MCP · Tool calling · PyTorch · TensorFlow · scikit-learn · Reinforcement learning

Data & Analytics

Python · SQL · R · ETL · Apache Iceberg · Databricks · Tableau · Power BI · PostgreSQL · MongoDB · ChromaDB · Snowflake

Cloud & Engineering

Azure · AWS · Google Cloud · Vertex AI · Cloud Run · React · Flask · REST APIs · TypeScript · Java · C · Git · CI/CD

ALWAYS LEARNING

Credentials that keep me building.

LinkedIn credentials ↗

Anthropic

Claude 101

Jun 2026

Intelligence,made useful.

Built with curiosity.Backed by purpose.

Making housing datamake sense.

The challenge

My contribution

The result

Fraud evolves.Detection should, too.

Turning customer signalsinto smarter decisions.

My contribution

The result

Less friction.More thoughtful applications.

A source behindevery answer.

Making complex AIeasier to understand.

Advanced AI & Machine Learning Models

Vectorless RAG

Real problems.Hands-on experience.

Data Science Intern

Research Fellow & Digital Content Developer

Data Scientist Intern

Data Scientist

Part scientist.Part builder.Always curious.

MS in Data Science

From raw datato real-world systems.

AI & Machine Learning

Data & Analytics

Cloud & Engineering

Credentials that keep me building.

Claude 101

Claude Code 101

Building RAG Apps Using MongoDB

AI Agent Fundamentals

Tooling, MCP, and Agent Execution Environments

AWS Educate Introduction to Generative AI

AI for Work and Life

AI Prompt Engineering Skills

Introduction to AI

Prompting ChatGPT with Multimodal Techniques

Introduction to Prompt Engineering for Generative AI

Prompt Engineering with ChatGPT

AI Show: How to Draw Anything with Azure AI and Stable Diffusion

What Is Generative AI?

Demystifying ChatGPT and Generative AI: What Every Professional Needs to Know

MongoDB Database Administrator

Securing MongoDB Self-Managed Networking

Data Analytics with Python

Advanced Tableau Desktop

SQL for Data Analysis

Azure Database for MySQL

DevOps for Data Scientists

Building Web3 Decentralized Apps in Ethereum

Microsoft Azure Data Fundamentals (DP-900) Cert Prep by Microsoft Press

Azure AI Engineer Associate (AI-102) Cert Prep: Implement Generative AI Solutions

Data or Specimens Only Research

Responsible Conduct of Research for Engineers

Research Administrators and Staff

IACUC Researchers and Students

Dual Use Research of Concern (DURC)

Conflicts of Interest

Let's buildsomething that matters.

Intelligence,
made useful.

Built with curiosity.
Backed by purpose.

Making housing data
make sense.

Fraud evolves.
Detection should, too.

Turning customer signals
into smarter decisions.

Less friction.
More thoughtful applications.

A source behind
every answer.

Making complex AI
easier to understand.

Real problems.
Hands-on experience.

Part scientist.
Part builder.
Always curious.

From raw data
to real-world systems.

Let's build
something that matters.