Get-it-done engineer with a soul for speed, flavor, and tech

About Me: Explorer at Heart


Hi, I’m Amogh Ranganathaiah—a developer with a strong foundation in programming, data, cloud infrastructure, and applied AI. From engineering agentic AI workflows using LLMs to architecting scalable pipelines across AWS and Azure, I bring a get-it-done mindset to everything I build.

Beyond the console and cloud, I’m driven by curiosity:

Traveling: I explore places through their culture, people, and food.

Automobiles: I’m into fast, gas-powered machines—old-school speed over smart tech.

Cooking: My kitchen’s a creative lab—timing, flavor, and instinct, just like code.

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Research

Optimizing AI for Low-Power, Confidential Environments

Edge and Fog Computing Architectures Private Generative AI

Under the guidance of Prof. Sameer Verma, I’m collaborating with Marc and Lawrence to explore the deployment of Generative AI on Edge and Fog architectures. Our research focuses on containerization, virtualization, and orchestration to enable secure, low-latency inference in resource-constrained settings. We leverage RAG and CAG techniques to ensure performance, privacy, and intelligent decision-making at the edge.
Machine Learning

Academic Journey

Master of Science (MS): August 2023 – May 2025

Business Analytics (STEM)

Lam College of Business, San Francisco State University

Runner-Up in CSU Business Analytics Competition 2024 for developing Loan Default Classification model for SBA. Relevant Coursework:
- Data Management (SQL, NoSQL, VectorDB)
- Python for Data Analytics
- Machine Learning (Supervised, Unsupervised, Semi-Supervised)
- DevOps, Data Infrastructure
- Pattern Analysis, Time Series Analysis
- Business Intelligence (Tableau, PowerBI)
- Advanced Statistical Multivariate Analysis
Laptops
Bachelor of Engineering (BE): August 2017 - August 2021

Computer Science and Engineering

KS Institute of Technology, Visvesvaraya Technological University

I co-authored a paper on currency authentication using image processing and k-NN, published in a national tech journal. Relevant Coursework:
- Database Management
- C, Java, Python Programming
- Object-Oriented Analysis and Design
- Design and Analysis of Algorithm
- Engineering Mathematics I, II, III
- Operating System
- Computer Networks
Laptops
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