On-Premise GenAI Copilot for a Regulated Bank
Production-grade on-prem GenAI copilot used by hundreds of employees under full regulatory compliance.
Solutions Architect & Forward Deployed Engineer
Solutions Architect & Forward Deployed Engineer. I turn complex enterprise problems into resilient, production-grade AI and distributed systems that actually ship and stay up.
I'm Hashim. I bridge enterprise ambition and production reality. Whether whiteboarding architecture with stakeholders or debugging distributed systems at 2 a.m., I care about technology that works — reliably, securely, and at scale.
Selected delivery work — expand a card for challenge, solution, impact, and tech.
Production-grade on-prem GenAI copilot used by hundreds of employees under full regulatory compliance.
Sustained 100k+ events/sec in production with high availability and clear operational observability.
Scaled a communications platform to 5,000+ concurrent enterprise users with production-grade stability.
High-level diagrams for core systems and a typical forward-deployed engagement.
Private LLM path with RAG, citations, and audit logging — no data leaves the regulated boundary.
On-Prem GenAI Copilot Architecture. Private LLM path with RAG, citations, and audit logging — no data leaves the regulated boundary.. Flow: flowchart LR User[User] --> GW[API Gateway / Auth] GW --> Orch[Orchestrator] Orch --> RAG[RAG Pipeline] RAG --> Ing[Ingestion] Ing --> Chunk[Chunking] Chunk --> Emb[Embedding] Emb --> VS[(Vector Store)] Orch --> LLM[Private LLM] VS --> Orch LLM --> Resp[Response with citations] Orch --> Audit[Audit Log]
Partitioned streaming with back-pressure and a dedicated observability plane for production ops.
High-Throughput Event Pipeline. Partitioned streaming with back-pressure and a dedicated observability plane for production ops.. Flow: flowchart LR Prod[Producers] --> Bus[Message Bus / Streaming Layer] Bus --> Cons[Processing Consumers] Cons --> Sink[Sink / Downstream] Cons --> Obs[Observability plane] Bus --> Obs
Edge load balancing into stateless services plus a stateful session layer over the real-time core.
Enterprise Communications Platform. Edge load balancing into stateless services plus a stateful session layer over the real-time core.. Flow: flowchart LR Clients[Clients] --> LB[Load Balancer / Edge] LB --> Stateless[Stateless services] LB --> Session[Stateful session layer] Stateless --> Core[Real-time media / messaging core] Session --> Core Core --> Persist[Persistence and Analytics]
Whiteboard to production: discovery, reference architecture, spike, harden, then handover.
Typical Forward-Deployed Engagement Flow. Whiteboard to production: discovery, reference architecture, spike, harden, then handover.. Flow: flowchart LR D[Discovery and Whiteboarding] --> R[Reference Architecture] R --> S[Spike / POC] S --> P[Production Hardening] P --> H[Handover and Knowledge Transfer]
Enterprise ecosystems
I'm Hashim — Solutions Architect and Forward Deployed Engineer.
Over the last 5+ years I've owned the full lifecycle of mission-critical platforms. The last 3+ years have been focused on architecture and delivery of AI and distributed systems in complex enterprise environments.
I move fluidly between stakeholder whiteboarding sessions and deep production debugging. My north star is simple: build technology that works — reliably, securely, and at scale.