I’m Zain Asher, a software engineer focused on building production AI systems, especially multi-agent LLM platforms and agentic RAG pipelines. I enjoy turning complex retrieval, orchestration, and cost constraints into reliable services that users can actually rely on. In my recent work, I’ve architected and shipped multi-LLM solutions end-to-end—designing agent graphs, implementing hybrid retrieval with validation loops, migrating vector search while keeping service interfaces stable, and delivering full-stack applications with FastAPI and Next.js. I like working in a markdown-spec-first style, using tools like Cursor and Claude Code to move from product requirements to dependable production code.

Zain Asher

I’m Zain Asher, a software engineer focused on building production AI systems, especially multi-agent LLM platforms and agentic RAG pipelines. I enjoy turning complex retrieval, orchestration, and cost constraints into reliable services that users can actually rely on. In my recent work, I’ve architected and shipped multi-LLM solutions end-to-end—designing agent graphs, implementing hybrid retrieval with validation loops, migrating vector search while keeping service interfaces stable, and delivering full-stack applications with FastAPI and Next.js. I like working in a markdown-spec-first style, using tools like Cursor and Claude Code to move from product requirements to dependable production code.

Available to hire

I’m Zain Asher, a software engineer focused on building production AI systems, especially multi-agent LLM platforms and agentic RAG pipelines. I enjoy turning complex retrieval, orchestration, and cost constraints into reliable services that users can actually rely on.

In my recent work, I’ve architected and shipped multi-LLM solutions end-to-end—designing agent graphs, implementing hybrid retrieval with validation loops, migrating vector search while keeping service interfaces stable, and delivering full-stack applications with FastAPI and Next.js. I like working in a markdown-spec-first style, using tools like Cursor and Claude Code to move from product requirements to dependable production code.

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Work Experience

Software Engineer at Ember AI
September 1, 2025 - Present
Architected and delivered a production multi-agent litigation platform orchestrating 76 specialized LLM agents using LangGraph and a seven-wave DAG (56 steps per full run with hard wave barriers). Implemented cost engineering (Anthropic prompt caching via stable-prefix prompt assembly, case-dossier memoization, async-bounded retrieval) cutting token spend by roughly 60%. Migrated retrieval from Pinecone to pgvector co-located in primary Postgres while preserving the service interface for 32+ call sites. Built an agentic RAG legal document analysis system with hybrid retrieval (LLM-driven query generation plus curated seed queries) and vision-based OCR via Gemini. Shipped a multi-LLM media platform (artie.co) end-to-end with async FastAPI backend, Celery/Redis workers, provider failover, SSE streaming, and React-based frontend; deployed on AWS infrastructure.
Associate Software Engineer at Devsinc
June 1, 2025 - March 31, 2026
Built async web applications using FastAPI, MongoDB/PostgreSQL, and Redis-backed task queues. Contributed to API design, implemented Pydantic v2 schemas, and supported end-to-end feature delivery in a production-oriented workflow.
Python Developer Intern at Conovo Technologies
June 1, 2024 - September 30, 2024
Developed web applications using Flask and Django, working across REST APIs, ORM models, and templated UI components.

Education

BS Computer Science at National University of Computer and Emerging Sciences
January 1, 2021 - January 1, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Computers & Electronics, Media & Entertainment, Professional Services