Open to Backend, GenAI & Full-Stack roles · remote or Hyderabad

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// production work @ Ascendion

Systems I helped build

Production systems shipping to thousands of users daily. Every metric is real and defensible; the register is honest — "co-built" means exactly that.

Co-built · production-hardened

Pensieve

AI Process-Orchestration Engine · Ascendion

I co-built a multi-agent LLM orchestration engine with human-in-the-loop approval gates, real-time streaming, and governed LLM routing across cloud providers.

2K+
daily users across domains
HITL
approval gates
Multi-cloud
governed LLM routing
Co-built · architected the backend

AAVA Code

AI Coding Plugin for VS Code · Ascendion

I co-built a single-agent prototype's re-architecture into a multi-agent orchestration system (Main-Agent + sub-agent via crewAI flows) powering an AI coding plugin for VS Code.

3K+
daily users
5+
client environments
150+
skills · 40+ tools · ~60 commands
Co-built · production-ready

Wireframe Generator

GenAI Wireframe Generator · Ascendion

I co-built a GenAI-powered wireframe generator that converts product inputs (PRDs, sketches, prompts) into production-ready UI artifacts, delivered as a full vertical slice within Experience Studio over an SSE real-time architecture.

40%
fewer UX iteration cycles (5 rounds → 3)
60%
faster prototyping
500+
users daily
Co-built · production-ready

Prompt-to-React

Prompt-to-React Code Generation · Ascendion

I co-built a prompt-to-React code generation system that turns generated wireframes into production-ready modular components and routing logic.

50%
less frontend dev time (2 days → 1 per feature)
55%
less manual coding effort
2K+
developers
50+
teams
Co-built

Execution Engine

Prompt-Driven Execution Engine · Ascendion

I co-built a prompt-driven execution engine using LLM-based agent orchestration with RAG and ReAct pipelines that automates generation of structured product artifacts.

1.5h → 15m
workflow planning time
65% → 85%
first-pass acceptance
1.5K+
users

See the reasoning behind these systems in Decisions.