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Divija Ganiga

Senior Data Scientist Associate at Independent Research

Little ELM, United States

Senior Cloud Data Engineer with 10+ years of experience across Oracle,Ford, Rivian, Chase. I specialize in building scalable data pipelines and AI solutions using AWS (ECS, EKS), Python,Databricks, Glue and SQL. By merging domain expertise with advanced AI including LLM agents and RAG I transform complex datasets into high-impact manufacturing and financial insights.

Divija Ganiga Points
Academic 10
Author 12
Influencer 0
Speaker 0
Entrepreneur 0
Total 22

Points based upon Thinkers360 patent-pending algorithm.

Thought Leader Profile

Portfolio Mix

Company Information

Company Type: Individual
Minimum Project Size: N/A
Average Hourly Rate: N/A
Number of Employees: N/A
Company Founded Date: Undisclosed

Areas of Expertise

Agentic AI 30.20
AI 30.21
AI Governance 30.07
AI Infrastructure
Big Data 30.11
Cloud 30.23
Cybersecurity 30.21
DevOps
Finance 30.71
FinTech 30.32
Risk Management 30.16

Industry Experience

Financial Services & Banking
Higher Education & Research

Publications & Experience

9 Article/Blogs
Beyond the Password: Why Behavioral Biometrics Is Becoming Banking's Last Line of Defense
BiometricUpdate.com
July 30, 2026
Explores why traditional behavioral biometric fraud detection isn't enough as AI-generated synthetic mouse and keystroke behavior increasingly evades baseline-comparison systems, and argues for adversarial robustness as a core defense layer in financial fraud prevention.

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Tags: Agentic AI, AI Governance, Cybersecurity

Why AI Fraud Detection is Vulnerable and How to Fix It
Import from medium.com
July 15, 2026
Why AI Fraud Detection is Vulnerable and How to Fix ItArtificial intelligence is transforming financial fraud detection, but it introduces critical vulnerabilities like data poisoning and prompt injection. My recent paper introduces RDA-LLM, a multi-layered defensive framework designed to secure th

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Tags: AI, Big Data, Cloud

Stop Writing Regex: Using Agentic AI for Semi-Structured Data
Import from medium.com
February 22, 2026
Most real-world documents sit in an awkward middle ground.They are not clean forms.They are not free text.They are semi-structured.Official notices, administrative letters, statements, requests, and scanned PDFs all share recognizable fields like names, identifiers, dates, references yet their la

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Tags: AI, Big Data, Cloud

OpenAI’s Codex App Marks the Shift From Coding to Orchestrating
Import from medium.com
February 02, 2026
Today, I caught myself doing something unusual, something different from my regular workflow.I had multiple pull requests open. Two features were moving forward. A bug I’d been postponing for days was quietly being resolved in the background.And I wasn’t typing much code.I wasn’t stuck in an

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Tags: AI, Big Data, Cloud

A Practical Guide to Connecting Python and Spark to Iceberg via AWS Glue
Import from medium.com
January 23, 2026
IntroductionMost modern data stacks didn’t start with Iceberg. They evolved into it. For many organizations data stack looked mostly like this:Amazon RDS : Used for application-level transactions where strict ACID guarantees were non-negotiable.Amazon Athena : The go-to for exploring massive da

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Tags: AI, Big Data, Cloud

The Ralph Wiggum Technique: How I Ship Code While I Sleep
Import from medium.com
January 21, 2026
Last Tuesday, I gave Claude a messy React codebase at 11 PM. 847 ESLint errors. Components sprawling over 400 lines. No consistent patterns anywhere.I wrote a 3-minute prompt describing what “clean” looked like. Hit enter. Closed my laptop. Went to bed.Wednesday morning: 23 git commits. Zero li

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Tags: AI, Big Data, Cloud

Beyond Autocomplete: A Guide to Building Agent Skills in Google Antigravity
Import from medium.com
January 14, 2026
How to encode your engineering standards into autonomous AI agents using the new open standard for development.The era of the “AI coding assistant” is evolving. While we’ve spent the last few years getting used to ghost-text autocompletes and side-panel chats, Google Antigravity has introduced

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Tags: AI, Big Data, Cloud

From Research to Realization: Why “Vibe Coding” is the New Product Velocity
Import from medium.com
January 08, 2026
Two years ago, I was a consumer of technology. As a Data Engineer and AI researcher, I understood the conceptual architecture of Large Language Models (LLMs), but a “technical wall” separated my ideas from execution. But, in these two years a lot has changed in the software industry and then cam

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Tags: AI, Big Data, Cloud

# Beyond Chatbots: How Agentic AI is Revolutionizing Financial Compliance & Fraud Detection
Import from medium.com
January 07, 2026
Beyond Chatbots: How Agentic AI is Revolutionizing Financial Compliance & Fraud DetectionIn the high-stakes world of financial services, speed and accuracy aren’t just metrics , they are the firewall between security and systemic risk. For decades, banks and financial institutions have relied

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Tags: AI, Big Data, Cloud

2 Journal Publications
Real-Time Document Intelligence using Large Language Models in Large-Scale Enterprise Systems
IEEE
May 11, 2026

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Tags: Agentic AI, Cybersecurity, Finance

Large Language Model–Driven Real-Time Subpoena Analysis for Automated Fraud Detection in Large-Scale Banking Systems
2026 International Conference on Computer Networks and Inventive Communication Technologies (ICCNCT)
March 01, 2026
This paper proposes a Large Language Model-based Real-Time Subpoena Analysis (LLM-RTSA) framework to recognize fraud within large banking systems by parsing subpoena text, extracting legal intent, and correlating structured semantic embeddings with transaction streams.

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Tags: AI, FinTech, Risk Management

1 Whitepaper
Defensive Architectures for LLM-Based Fraud Detection Against Data Poisoning and Prompt Injection
2026 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET) / IEEE
March 26, 2026
This paper proposes a Resilient Defensive Architecture for LLM-based Fraud Detection (RDA-LLM), a multi-layered framework designed to protect against adversarial manipulation such as data poisoning and prompt injection while maintaining high detection accuracy.

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Tags: AI, Cybersecurity, FinTech

Thinkers360 Credentials

1 Badge

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