Aisha Siddiqua
@aishasiddiqua
I build auditable agentic AI and RAG systems for production use.
What I'm looking for
I've built production-grade agentic AI systems using the OpenAI Agents SDK, Anthropic Claude API, Model Context Protocol, FastAPI, and PostgreSQL. My work prioritizes deterministic routing, scoped tool access, human approval, audit logging, and reliable state management.
As Lead AI Engineering Instructor at the Governor's Initiative for Artificial Intelligence and Computing, I lead applied AI engineering delivery for 2,000+ engineers across 24 cohorts. I build the Python reference implementations students use, guide them through discovery, debugging, deployment, and act as a technical escalation point for faculty and government stakeholders.
At XponentialAI, I built multi-agent automation workflows, Python backend services, REST API integrations, and conversational AI tools from requirements through deployment.
I've also built ResolveAI, a bilingual banking complaint-resolution agent; a WhatsApp-based PSX trading discipline coach; and an autonomous task orchestration system. I'm Anthropic MCP certified at Basic and Advanced levels and build systems designed to operate beyond demos.
Experience
Work history, roles, and key accomplishments
AI Engineer
Independent Practice
Jan 2026 - Present (7 months)
Build production-grade AI agents and LLM systems, including RAG pipelines, voice interfaces, multi-agent orchestration, and FastAPI backends with real persistence. Route agent actions through deterministic Python maps and enforce single-mutator write discipline for auditability.
Education
Degrees, certifications, and relevant coursework
Virtual University of Pakistan
Bachelor of Science, Computer Science
Pursuing a Bachelor of Science in Computer Science.
Govt. Degree Boys and Girls College SRE-III, Majeed, Karachi
Intermediate, Computer Science
Completed Intermediate in Computer Science.
Availability
Location
Authorized to work in
Portfolio
aishasiddiquaportfolio.vercel.appJob categories
Skills
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