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Sibassam
Proof of Work

Engineered Systems & Case Studies

Authentic breakdowns of real engineering systems. We respect client confidentiality by anonymizing proprietary data while detailing the exact architectural patterns, constraints, and verified outcomes.

AI Agent & AutomationVerified Deployment

Multi-Modal Document Extraction & Triage Engine

Autonomous ingestion and structured parsing for financial and legal paperwork.

Context: Mid-sized operational consultancy processing hundreds of client declarations weekly.
Problem: Manual document intake resulted in 48-hour processing queues, frequent manual entry errors, and lost billable client hours spent on repetitive classification.
Measured Outcomes:
  • ✔Reduced average document intake turnaround from 48 hours to under 3 minutes
  • ✔Zero manual data re-entry for 84% of standard structured forms
  • ✔Deterministic audit trail for all extraction confidence scores
Read full architectural breakdown→

Architecture Stack

PythonFastAPIOpenAI / Claude APIPostgreSQLDockerRedis Queue

Key Pipeline Stages

  1. Document ingestion via secure webhook
  2. Preprocessing & layout-aware chunking
  3. Structured JSON schema enforcement via instructor/Pydantic
  4. Confidence scoring & human-in-the-loop review fallback
RAG & Knowledge RetrievalVerified Deployment

Domain Knowledge Base & RAG Copilot

Precision semantic search over proprietary operational manuals and compliance standards.

Context: Growing regional engineering consultancy with 5,000+ pages of scattered technical protocols.
Problem: Engineers in the field spent 30+ minutes looking for specific compliance clauses across outdated PDF folders, leading to inconsistent application of standards.
Measured Outcomes:
  • ✔Sub-second citation lookups across 5,000+ technical documents
  • ✔100% of generated answers cite direct section and document page links
  • ✔Adopted by 45+ daily active field engineers within 3 weeks of rollout
Read full architectural breakdown→

Architecture Stack

TypeScriptNext.jsPythonpgvectorLangChain / LlamaIndexTailwind CSS

Key Pipeline Stages

  1. Automated document sync from cloud drive
  2. Semantic chunking with metadata tagging
  3. Hybrid search via pgvector & full-text indexing
  4. Strict grounding prompt preventing unsupported hallucination
AI Agent & AutomationVerified Deployment

Automated WhatsApp Field Dispatch & Support Agent

24/7 conversational workflow triage connected to field ticketing and logistics.

Context: Nonprofit organization coordinating humanitarian distribution and field reports.
Problem: Field volunteers relied on chaotic chat groups to report supplies and logistics, causing coordinators to miss urgent field requests and miscalculate delivery schedules.
Measured Outcomes:
  • ✔Real-time ticket logging from informal natural language chat messages
  • ✔Eliminated coordinator manual copy-pasting from chat groups
  • ✔24/7 uptime during critical seasonal distribution drives
Read full architectural breakdown→

Architecture Stack

Node.jsMeta Cloud APIFastAPISQLite / PostgreSQLTailwind CSS

Key Pipeline Stages

  1. Meta Cloud API webhook listener
  2. Conversation state manager with session timeout handling
  3. Function-calling LLM agent for field ticket creation
  4. Automated confirmation dispatch to operational teams