LIVE 4 Production Applications

Explore Production-Grade
AI Applications

Four applications designed, built, and operated end-to-end — a multi-tenant SaaS CRM with Postgres row-level security, a payments platform with an event-sourced ledger and ML fraud scoring, a RAG-powered knowledge base, and an AI resume-analysis SaaS. All are live in production on AWS — launch them below.

ecclesiacrm.me
Multi-tenant SaaS

Ekklesia CRM

Multi-tenant church & conference CRM with subdomain tenancy, Postgres row-level security, passwordless passkey sign-in, tamper-evident audit trails, and a fully automated CI → staging → prod pipeline.

Next.js Node.js API PostgreSQL RLS Redis AWS EC2
Live on AWS · EC2
payforge.sathwiksangeethamproject.dev
FinTech Platform

PayForge

Payment processing platform with event-sourced transactions, a double-entry ledger, ML-based fraud scoring, background settlement jobs, and real-time dashboards.

Rails 8 Next.js 16 LightGBM PostgreSQL Redis
Live on AWS · EC2 + Caddy
kb.sathwiksangeethamproject.dev
Enterprise AI

Knowledge Base AI

Enterprise knowledge management with semantic search, RAG pipeline, AI-powered Q&A, and real-time document processing.

Next.js Rails API PostgreSQL pgvector Ollama
Live on AWS · EC2 + Caddy
resume.sathwiksangeethamproject.dev
SaaS Platform

ResumeAI Pro

AI-powered resume scoring SaaS with multi-criteria analysis, ATS optimization, bulk processing, team collaboration, and PDF export.

Rails 8 React 19 Inertia.js pgvector Ollama
Live on AWS · EC2 + Caddy
Sathwik Sangeetham

Sathwik Sangeetham

Software Engineer Intern @ Latitude • MS Computer Science, University of Houston

Software engineer in Houston, currently at Latitude — contributing to core financial infrastructure for global money movement, and collaborating with compliance and leadership teams to build secure, resilient systems for payments, settlement, and operational workflows in regulated environments. Completed an MS in Computer Science at the University of Houston (GPA 3.767), where he also supported the university's HPC clusters as an HPC support engineer and teaching assistant. Earlier, interned at Kellton building generative-AI pipelines with PyTorch and TensorFlow. Outside of work, he designs, ships, and operates the four production applications on this page — owning everything from schema design and row-level security to CI pipelines, TLS, and monitoring. Holds 19 industry certifications across Microsoft Azure, DevOps, AI, cloud, and software development — including Microsoft Certified: DevOps Engineer Expert, Azure Administrator Associate, and GitHub Foundations.

4
Apps in Production
3.767
MS GPA / 4.0
19
Certifications
MS Computer Science
University of Houston
2024 — 2026 • Houston, TX
GPA: 3.767 / 4.0
BE Computer Science
Sathyabama Institute of Science & Technology
2019 — 2023 • Chennai, India
GPA: 3.69 / 4.0

Professional Background

Financial infrastructure, high-performance computing, and applied machine learning.

Software Engineer Intern
Latitude
May 2026 — Present • Houston, TX • Hybrid
  • Contribute to the development of core financial infrastructure for global money movement
  • Collaborate with compliance and leadership teams to ensure secure and resilient software solutions
  • Build foundational systems for payments, settlement, and operational workflows in regulated environments
HPC Support Engineer & Teaching Assistant
Hewlett Packard Enterprise Data Science Institute • University of Houston
Aug 2024 — May 2026
  • Provide frontline support and resolve tickets for UH's HPC clusters — Carya (770+ TFlops, 200+ nodes) and Sabine (600+ TFlops, 170+ nodes)
  • Troubleshoot SLURM job scheduling, MPI/OpenMP parallel execution, GPU allocation, and storage I/O issues for research groups
  • Assist graduate-level data science and machine learning coursework as Teaching Assistant
GenAI Training & AI/ML Intern
Kellton Tech Solutions
Jan 2023 — Jun 2023
  • Built and fine-tuned generative AI models for enterprise NLP use cases including text summarization and classification
  • Developed data preprocessing pipelines and model evaluation frameworks using Python, TensorFlow, and PyTorch
  • Collaborated with cross-functional teams to integrate AI solutions into production workflows

Certifications

19 industry certifications across Microsoft Azure, DevOps, AI, cloud architecture, and software engineering.

Microsoft
AZ-400: Designing and Implementing Microsoft DevOps Solutions
Microsoft · Jun 2023
Microsoft Certified: Azure Fundamentals
Microsoft · Dec 2022 · ID: 289D48A95CD47885
Microsoft Certified: Azure AI Fundamentals
Microsoft · Dec 2022 · ID: CFEAFE0C31BC6027
Microsoft Certified: Azure Data Fundamentals
Microsoft · Dec 2022 · ID: 26DBC3BB40540486
Microsoft Certified: Security, Compliance, and Identity Fundamentals
Microsoft · Dec 2022 · ID: E3F068A480979062
Microsoft 365 Certified: Fundamentals
Microsoft · Dec 2022 · ID: 3CBDEBA01BCD36F8
Microsoft Certified: Power Platform Fundamentals
Microsoft · Dec 2022 · ID: 8513D1C64AB87173
Microsoft Certified: Dynamics 365 Fundamentals (ERP)
Microsoft · Dec 2022 · ID: 18E6C6BB504AF626
Microsoft Certified: Dynamics 365 Fundamentals (CRM)
Microsoft · Dec 2022 · ID: D37C04C0B1E7C178
HackerRank
Problem Solving (Intermediate) Certificate
HackerRank · Oct 2021
Python (Basic) Certificate
HackerRank · Sep 2021
SQL (Intermediate) Certificate
HackerRank · Sep 2021
Java (Basic) Certificate
HackerRank · Sep 2021
Google · Cisco · University of Michigan
Technical Support Fundamentals
Google · Mar 2024
Introduction to Data Science
Cisco · Jun 2023
Programming for Everybody (Getting Started with Python)
University of Michigan · Jun 2022 · ID: GN4RU684LHEZ

Tech Stack

The tools I use day to day — at work, in the four production apps above, and on the HPC clusters. Nothing aspirational.

Languages
PythonTypeScriptJavaScriptRubyJavaSQL
Frameworks
ReactNext.jsRailsNode.jsExpressInertia.jsTailwindCSS
Cloud & DevOps
AWSAzureDockerGitHub ActionsCaddyCloudflareLinuxSLURM
AI / ML
PyTorchTensorFlowLLMsRAGOllamapgvectorLightGBMNLP