[ ORCHESTRATING MULTI-AGENT SWARMS ]

AMMAR SHAH
AI ARCHITECT.

Designing Autonomous Multi-Agent Systems & Scalable LLM Orchestration. Engineering robust logic at the frontier of machine intelligence.

Explore Projects

Featured
Projects

01
Production / NDA

CodeGuard AI

  • Built a multi-agent code review platform processing GitHub PRs with 3 parallel AI agents (Logic, Security, Quality), achieving 138 passing tests with 100% coverage.
  • Architected LangGraph-based supervisor orchestrating concurrent agent execution, reducing review latency by 65% compared to sequential processing.
  • Implemented Redis-backed job queue with rate limiting (15 RPM) and HMAC-SHA256 webhook verification, handling 500+ daily PR events.
ORCHESTRATION_AUDIT_v2.0
SYSTEM: SCANNING
102 + import { langGraph } from "@orchestrator";
103 + const agent = new SecurityAgent();
104 // Initializing safety layer
105 + await agent.verify(commit);
106 + [PASS] No vulnerabilities detected.
LATENCY
12ms
TRUST_SCORE
99.8%
02
Enterprise / Herbion / NDA

Dossier Automation

  • Engineered an end-to-end Agentic RAG system using LangChain and LLM orchestration to automate generation of complex regulatory dossiers.
  • Designed and deployed modular ML pipelines for automated document retrieval, intelligent summarization, and compliance drafting, reducing dossier preparation time by over 90%.
  • Integrated with diverse enterprise data sources to ensure comprehensive and accurate data synthesis for compliance reporting.
RAG_EXTRACTION_ENGINE
PROCESSING: OCR_SCAN
"vendor": "Herbion"
"total": "$12,450"
"sla": "COMPLIANT"
"conf": "0.992"
03
Lab / R&D / NDA

AI Research Assistant

  • Architected a multi-agent framework leveraging RAG and LangChain to automate end-to-end ML research workflows from data ingestion to model evaluation.
  • Implemented dynamic task planning capabilities enabling specialized agents to autonomously execute model inference, evaluation, and result caching.
  • Unified retrieval-augmented reasoning, summarization, and adaptive decision-making into a cohesive system.
AGENT_HUB_v3.1
TASKS: EXECUTING
Web_Scraper.sys
Reasoning_Engine.llm
Broadcaster_Node.out

Architect
Stack

CORE
Python
PyTorch
LLMs
LangChain
LangGraph
RAG
Multi-Agent
FastAPI
React
PostgreSQL
C++
AWS
Docker
Redis
CI/CD

Career
Timeline

AI Architect Engineer

Jan 2026 — Present
SAYNT AI | Karachi, PK
  • Architected production-grade Multi-Agent AI systems with complex state-management and memory.
  • Optimized AI system performance balancing latency and cost-efficiency with rigorous AIOps monitoring.

Data Engineering Intern

Jul 2025 – Aug 2025
ITANZ Private Limited | Karachi, PK
  • Engineered robust ETL processes using PL/SQL for structured migration of critical data.
  • Developed interactive dashboards in Oracle Analytics Cloud.