Hi! I'm Akarsh.
I build AI-powered platforms for enterprises that need scale.
15+ years shipping cloud-native platforms at PwC, Charles Schwab, Bank of America and Equifax. Microsoft Certified: Azure AI Engineer Associate.
Problem: tax document processing needed AI-powered automation that stayed secure, auditable and reliable under real production load.
My role: AI .NET Engineering Lead — I lead 8 engineers across solution design, pair programming, CI/CD and cloud operations.
Proprietary enterprise platform — live demo available on request.
Problem: three product domains needed one coherent architecture, faster diagnosis and releases that stopped slipping.
My role: Senior Technical Team Lead — owned solution architecture and coded the .NET 8 APIs and React features myself.
Proprietary enterprise platform — walkthrough available on request.
Problem: banking services had to scale, stay available and pass identity scrutiny for 10,000+ users.
My role: Senior Technical Lead — architected the microservices, led a 6-engineer squad, and shipped React/TypeScript front ends with .NET back ends.
Proprietary enterprise platform — walkthrough available on request.
Problem: the NPS site served ~318M visitors a year but scored only 76% on WCAG 2.1 — not accessible for users with visual, cognitive, seizure or attention-related needs.
My angle: adapted from Aditya's original UX research — how I'd engineer the four accessibility profiles so they persist, scale, and never regress in production.
Problem: consumer data had to flow across 8 services accurately, fast, and compliant — while manual ETL ate hours every week.
My role: Sr .NET Lead — built the microservices, Event Grid schemas and automation that removed 70% of manual ETL.
Proprietary enterprise platform — walkthrough available on request.
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I started building software in 2010 and spent the next decade-plus inside the systems people trust with their money and their mail — banks, brokerages, credit bureaus and the Postal Service. Somewhere along the way I stopped just writing code and started owning the whole arc: architecture, delivery, operations, and the team doing it.
Today I lead AI engineering at PwC, where my team ships an AI-powered tax document platform. I stay hands-on — C#/.NET 8, Azure Functions, React — because the fastest way to lead engineers is to still be one. My bias is simple: small, well-governed services, automated everything, and AI used where it actually moves a metric.
Outside work I'm in Dallas-Fort Worth, usually talking fantasy football or talking someone into a better deployment pipeline.
Microsoft Certified: Azure AI Engineer Associate (Feb 2025) · Microsoft Certified Professional · Microsoft Certified: .NET Framework – Application Development
Education: MS, Electrical, Electronics & Communications Engineering — Southern Illinois University, Carbondale (2007–2008) · B.Tech, Electrical & Electronics — Jawaharlal Nehru Technological University
Multi-step agents that do real work inside governed enterprise systems — not just chat.
Shipping, observing and retraining AI features with the same rigor as any production service.
Applying generative AI where auditability, security and compliance are non-negotiable.
"Akarsh is a very talented software professional with very strong technical knowledge — an excellent team player, with high integrity and work ethics."
Earlier: .NET Development Lead — Charles Schwab, Chicago (2022) · Senior Software Engineer — USPS (2021–2022) · Sr. Full Stack Developer — Matilda Cloud Solutions (2018–2020) · Software Engineer Technical Lead — Verizon (2018–2020) · Web / ETL Lead Developer — Texas General Land Office, Austin (2017) · Senior Software Engineer — Charles Schwab, Austin (2016–2017)
Have a role, a platform to build, or a question? Send it here — it lands in my inbox.
Prefer email? akarsh.ft@gmail.com · LinkedIn · GitHub
