Context-aware debugging agents
Custom GitHub agents that use surrounding process and business-workflow context to investigate root causes.
ENTERPRISE SYSTEMS · AUTOMATION · APPLIED AI
Akhil ChappidiReliable software.
Useful AI.
I’m Akhil. I build enterprise-grade distributed systems, automation, and AI tools for complex business workflows. My work combines C#/.NET, cloud architecture, and agents with verifiable outputs.
ENTERPRISE AI · AUTOMATION · DISTRIBUTED SYSTEMS
Akhil ChappidiApplied AI · PhD in progress
01 / SELECTED PROJECTS
Building with evidence and intent.
Research, evaluation, and practical applications.
02 / THE PERSON BEHIND THE WORK
Curiosity is
a good place
to start.
Understanding the process. Engineering the solution.
My work focuses on reliable enterprise software and automation. I build AI tooling for debugging, code review, research, and validation, with clear context, evidence-grounded outputs, and human review where the stakes require it. I’m pursuing a PhD in Information Technology with an AI specialization, bringing a research mindset to how agents are designed, evaluated, and used in production.
AI ENGINEERING & AGENTIC SYSTEMS
Context. Evidence. Verification.
Review and validation skills
Reusable skills for code review and validation, with agents selecting and combining skills to support a consistent organization-level standard.
Multi-agent academic review
A review loop that evaluates argument flow, APA 7 compliance, paragraph structure, clarity, and evidence, then delivers feedback as a structured training plan.
Evaluation and everyday agents
An OpenClaw-based personal assistant fleet and controlled comparisons of frontier models using defined scoring rubrics across writing, reasoning, explanation, ethics, and image generation.
EXPERIENCE
Engineering & automation
Enterprise systems
Build enterprise-grade distributed applications, automation, and integration systems for complex business workflows. My experience includes data migration, extraction, transformation and validation, cloud architecture, event-driven processing, and operational reliability. I use C#/.NET, SQL, cloud services, and browser automation to connect systems and reduce manual work, and explore AI-assisted diagnostics that make failures easier to understand.
Software Engineer II / .NET Developer
Gallup Project
May 2022 – December 2023
Built Blazor and ASP.NET applications and APIs with reusable components, Entity Framework, SQL Server, and Azure services. Integrated backend services through Kafka event streams, developed C# ETL processes and SQL stored procedures, and supported data validation and production troubleshooting. Worked with Azure AD, Key Vault, App Service, Azure DevOps, Redis, Swagger, and automated testing.
EDUCATION
PhD in Information Technology
University of the Cumberlands
In progress · August 2025 – expected December 2028 · Focus on AI
MS in Management Information Systems
University of Nebraska at Omaha
GPA 3.8/4.0
TOOLS & CAPABILITIES
A practical engineering toolkit.
Software System Analysis · Data Management · Systems Integration
ACADEMIC LEARNING
Data visualization · Data analytics · Natural language processing · Large language models · Deep learning · Applied machine learning · AI in risk management
03 / NOTES FROM THE JOURNEY
Thinking out loud.
How I use AI tools, agents, and skills
GitHub Copilot, custom agents, and a workflow built around verification.
04 / SAY HELLO