Emmanuel Joshua in a modern workspace

emmanuel@dev:~$ whoami

Software Engineer AI Builder

I'm Emmanuel Joshua_

A

Software Engineer building production-ready AI products.

I build production-minded AI products, agentic workflows, backend services, and full-stack systems that are useful beyond the demo. Full-stack products, agentic workflows, and reliable cloud systems—built to work beyond the demo.

AI products Agentic systems Full-stack engineering AWS backend systems

I build software and AI products that hold up in real environments.

Emmanuel Joshua, software engineer and AI product builder

I'm a Software Development Engineer II at Amazon, building high-availability AWS applications, backend services, data workflows, and operational tooling. Security is the domain; software engineering—performance, reliability, observability, and automation—is the core discipline.

My current focus is AI engineering: production-ready AI products and agentic workflows, supported by the full-stack software that makes them useful. EchoFocus turns text, files, photos, and live recordings into synchronized audio, transcripts, summaries, and searchable history.

I'm completing an MS in Computer Science at UT Austin with a Machine Learning and AI focus. I'm most interested in the engineering that makes intelligent software reliable, observable, and useful in production.

MS Computer Science - ML/AI, UT Austin (in progress) BS Computer Science, Texas Southern University Speaks English & Igbo

10+

published technical articles

3

peer-reviewed publications

4

highlighted engineering projects

Experience

Software Development Engineer II current

Amazon - Defense Security Organization, Austin, TX

Sep 2025 - Present

  • Build high-availability AWS applications and backend services supporting large-scale event analysis, investigation, and response workflows.
  • Improve query and data-processing performance for services working with high-volume operational and security datasets.
  • Develop automation and operational tooling that reduces repetitive work and makes investigation workflows faster and more reliable.
  • Strengthen production reliability through observability, logging, alarms, and support-focused service improvements.

Software Development Engineer I

Amazon - Defense Security Organization, Austin, TX

Aug 2023 - Sep 2025

  • Built and improved AWS-based software systems across high-volume data pipelines, backend services, and investigation workflows.
  • Co-developed Threat Sage, an AI-powered detection platform recognized with an internal Amazon hackathon People's Choice Award.
  • Improved service performance, data retrieval, and operational workflows for applications processing large-scale datasets.
  • Built observability, logging, automation, and support tooling that reduced repetitive operational effort and improved service maintainability.

Software Developer

Meneses Law

Feb 2023 - Aug 2023

  • Contributed full-stack software engineering work supporting a legal-services organization.

Software Development Engineer Intern

Amazon, Austin, TX

May 2022 - Aug 2022

  • Developed an account-level filtering detection feature, improving data retrieval, processing, and confidentiality management, reducing costs.
  • Implemented risk management procedures using metrics and alarms.
  • Wrote and integrated 20+ unit tests, achieving 97%+ test coverage.
  • Optimized detection features, improving system efficiency and scalability.

Team Lead, Undergraduate Researcher

National Science Foundation CREST Center, Texas Southern University

Aug 2021 - Dec 2022

  • Developed and implemented a user-friendly interface for remotely controlling mobile robot agents (camera, joystick, keys, location tracking).
  • Authored a comprehensive training manual for new team members.
  • Led and managed a team of three members, optimizing robot agent operations.

REU RENEW Intern

Rice University, Houston, TX

May 2021 - Aug 2021

  • Conducted hardware testing on Agora, a real-time massive-MIMO baseband processing system, using a queue-based master-worker model.
  • Integrated Google Benchmark with Agora to improve testing accuracy and performance evaluation on the Falcon server.

Projects

A few examples of the work I want people to associate with me now: AI products, agentic workflows, and reliable software systems.

Featured live product

EchoFocus

Full-stack AI product - live at echofocus.vercel.app

Audio-first AI learning and productivity tool that turns text, files, photos, and live recordings into synchronized playback, transcripts, AI summaries, and searchable history.

Try EchoFocus ->
AI wardrobe · early product

AskZar

Full-stack AI product · React, TypeScript and Supabase

A phone-first wardrobe app inspired by the everyday help my wife gives me choosing outfits. Organize clothing photos, combine pieces you own, and generate approximate outfit previews through an in-app AI service.

Explore AskZar ->
Agentic systems

Agentic Automation Platform

Independent project - 2026, in progress

Reusable automation core combining LLM-backed reasoning, deterministic workflows, human review points, and external tool integrations so new capabilities can share the same operating layer.

AI + operations

Threat Sage

Amazon Hackathon - People's Choice Award, 2023

AI-assisted detection platform co-developed during an internal Amazon hackathon and recognized by participants with the People's Choice Award.

Publications & Research

Peer-reviewed and independent research on AI-assisted detection, automation, identity systems, and the engineering challenges of applying AI to real workflows. Full list also on Google Scholar and ResearchGate.

AI-Driven Threat Detection: Enhancing Cybersecurity Automation for Scalable Security Operations

International Journal of Science and Research Archive, 2025 - DOI: 10.30574/ijsra.2025.14.3.0615

AI-Driven Threat Intelligence System (AIDTIS): Leveraging Large Language Models for Automated Threat Research and Detection Development

International Journal of Science and Research Archive, 2025

A Decentralized Privacy-Preserving and Scalable Blockchain-Based Identity Management System

With P.O. Yusuf, A. Mai-Auduga, S.O. Yusuf, C.E. Yusuf - 2025

Writing

I write about software engineering, operations, data, automation, and what actually breaks when systems scale beyond a demo. All of it is on Medium.

Press & Recognition

Selected interviews, articles, awards, and memberships connected to my work across software engineering, AI-enabled automation, research, and security-focused systems.

Press

Staying Ahead with Threat Intelligence Authority Magazine, 2025 - Interview
Threat Research Is Broken - Security Teams Need Automation Now Cyber Defense eMagazine, March 2025 - Authored

Recognition

Judge, Globee Awards for Cybersecurity (2025 & 2026) Judge, Fortress Cybersecurity Awards (2025) Outstanding Undergraduate Student Award, TSU 1st Place, NASA Poster Competition

Professional memberships

IEEE ACM / SIGSAC International Association of Engineers (IAENG) Cloud Security Alliance National Society of Black Engineers (NSBE)

What I work on

The profile I want this site to communicate: a software engineer who can build AI features, ship the product around them, and keep the system reliable after launch.

Full-Stack AI Products

Building user-facing AI tools with usable interfaces, APIs, auth, data storage, transcripts, summaries, search, and production-minded workflows.

Agentic Workflows

Designing systems that combine LLM reasoning with deterministic workflow steps, integrations, observability, and human review where it matters.

Backend & Distributed Systems

Designing resilient services, data models, and processing paths that hold up under real load and remain understandable during operations.

AWS & Operational Reliability

Building cloud applications with monitoring, alarms, logging, automation, and support tooling that help teams operate production systems confidently.

Research & Technical Writing

Turning engineering work into clear research, articles, and mentorship for people building software, AI systems, and security-focused platforms.

Get in touch

Best reached by email. I'm always glad to talk software engineering, AI products, agentic systems, research, or interesting technical problems.