SAYED AFAQ AHMED
FIELD DEPLOYMENTS
Track record of production-grade engineering deployments across publishing AI pipelines, document intelligence systems, multi-agent architectures, and enterprise RAG networks.
Clavis Technologies
"Architecting production AI pipelines for the publishing sector and intelligent document processing, automating manual book-processing workflows and complex data extraction systems."
- ▶Engineering end-to-end AI pipelines for the publishing sector, automating labor-intensive manual workflows across book ingestion, manuscript parsing, layout analysis, and chapter/metadata structuring.
- ▶Developing intelligent document processing (IDP) systems utilizing multi-modal LLMs, OCR correction, and custom entity extraction to eliminate manual document preparation bottlenecks.
- ▶Architecting multi-agent extraction and deduction engines for specialized industry projects—including logistics document reconciliation (Statement of Facts, Charter Parties) to automate timeline and operational calculations.
- ▶Building high-performance, asynchronous backend microservices in Python & FastAPI integrated with vector retrieval for rapid document transformation at enterprise scale.
Test the end-to-end publishing pipeline automating manual book ingestion, chapter parsing, OCR layout normalization, and metadata structuring.
Elite Digital Technologies
"Orchestrate enterprise RAG pipelines, A2A communication patterns, and document intelligence at scale."
- ▶Built and deployed end-to-end AI systems using RAG pipelines, vector databases (pgvector, Chroma), LLMs, and multi-agent architectures serving enterprise clients.
- ▶Developed document intelligence solutions combining OCR, layout analysis, semantic search, and AI-powered Q&A to automate extraction from unstructured business documents.
- ▶Implemented Microsoft Agent Framework, Agent SDK, and A2A communication patterns to orchestrate complex multi-step enterprise workflow automation.
Simulate Agent-to-Agent (A2A) message passing across Microsoft Agent Framework with pgvector retrieval.
MISSION ARTIFACTS
High-impact AI pipelines and mission systems engineered across publishing book automation, institutional discovery, enterprise portals, and specialized document reconciliation.
Publishing AI & Book Pipeline
Production AI pipeline engineered for the publishing industry to automate intensive manual book-processing, layout parsing, chapter segmentation, and metadata extraction.
- ▶Designed automated book ingestion and structuring pipelines, reducing manual formatting, chapter tagging, and typesetting preparation by over 80%.
- ▶Integrated OCR error correction, semantic heading hierarchy detection, and multi-modal parsing to process complex literary and educational books.
- ▶Built scalable FastAPI backend microservices for high-throughput batch book ingestion and structured content synthesis.
IUArchive
AI companion platform officially recognized and adopted by Integral University for institutional student use.
- ▶Developed a RAG-powered assistant that answers student queries using faculty-uploaded lecture notes and previous-year question papers, with semantic search over a growing knowledge base.
- ▶Designed the ingestion pipeline, embedding strategy, and retrieval ranking to maximise answer relevance across heterogeneous document types.
- ▶Adopted across active departments, reducing repetitive faculty inquiry loads.
Yara International School
Contracted to rebuild the institution's web platform from scratch using Next.js (frontend) and FastAPI (backend), delivering high throughput and an autonomous management portal.
- ▶Architected role-based administrative portal (RBAC) that enabled non-technical staff to manage institutional content independently.
- ▶Significantly reduced operational overhead and eliminated legacy bottlenecks with a modern reactive architecture.
- ▶Built robust API microservices with high uptime and strict validation.
Logistics SOF & Laytime Engine
Specialized multi-agent project built to parse Statements of Facts (SOF) and Charter Parties to calculate laytime, demurrage, and despatch automatically.
- ▶Engineered multi-agent LLM parsing pipelines for cross-document reconciliation between SOF, CP, and NOR logistics records.
- ▶Automated complex operational deduction calculations, eliminating manual timeline reconciliation bottlenecks.
SYNAPSE MATRIX
Core engineering competencies spanning multi-agent design, deep RAG pipelines, scalable async backend services, and cloud defense.
AI & Neural Architectures
Core Languages & Logic
Backend & Systems
Frontend & Interfaces
Infrastructure & Cyber Defense
MERIT CITATIONS
Academic honors, cloud security credentials, responsible white-hat disclosures, and developer ecosystem leadership.
Integral University, Lucknow
Responsible Security Vulnerability Disclosure
Spearheaded developer workshops, AI hackathons, and technical bootcamps for student engineers.
Engineered community web systems and supported regional tech ecosystem developer initiatives.
TRANSMISSION DECK
Open comms channel for AI engineering roles, multi-agent consultation, enterprise RAG architectures, and collaborative research.