Kareem Mohammad

Applied AI Engineer & Systems Architect
Autonomous Agent Swarms  ·  Low-Latency Distributed Caching  ·  Zero-Trust Enterprise Infrastructure

A drop-in caching engine that accelerates Node.js APIs by keeping hot data in local CPU memory and off-heap RAM before it ever hits Redis or the database.

Eliminates costly database round-trips and Redis network saturation by absorbing 95%+ of hot read traffic in local RAM and off-heap POSIX memory before it touches the network.

• Three-Tier Storage Hierarchy: Automatic cascading through L1 RAM (adaptive W-TinyLFU + Count-Min Sketch) $\rightarrow$ L1.5 Off-Heap POSIX /dev/shm tmpfs & NVMe spill $\rightarrow$ L2 Clustered Redis/Valkey.
• Thundering-Herd Prevention: In-process Singleflight promise coalescing eliminates duplicate DB queries under 10k-concurrency spikes, combined with background Stale-While-Revalidate (SWR) revalidation.
• WASM & Mathematical Internals: Inlined WebAssembly Murmur3 64-bit Bloom filters for zero-GC key-existence checks; zero-JSON MsgPack binary serialization reducing heap pressure by up to 68%.
• Zero-Dependency Cloud Snapshots & Envelope Encryption: Standalone AWS SigV4 signer for instant cold-start hydration from S3 / Cloudflare R2; AES-256-GCM / CTR envelope encryption with key-rotation fallbacks.
• Turnkey Ecosystem Adapters: Native modules for Next.js 16/15 App Router (cacheHandlers), NestJS dynamic modules, Prisma $extends, Drizzle ORM withCache, Express & Fastify (RFC 7232 weak ETag & 304 Not Modified), and zero-Node Cloudflare Workers / Edge Isolates.
• Observability Suite: Real-time SSE Web admin dashboard, Prometheus golden-signals text exporter, pre-built Grafana dashboards, and terminal top monitor (npx tricache top).

┌──────────────────────────────────────┬─────────────┬─────────────┬───────────────────────────┐
│ Tier / Architecture Path             │ Throughput  │ p50 Latency │ Memory & Eviction Engine  │
├──────────────────────────────────────┼─────────────┼─────────────┼───────────────────────────┤
│ TriCache L1 (In-Memory RAM)          │  2.82 M/s   │    396 ns   │ W-TinyLFU + Count-Min     │
│ TriCache L1.5 (/dev/shm POSIX tmpfs) │  851.5 K/s  │    1.17 µs  │ Zero-GC Off-Heap Spill    │
│ TriCache Singleflight Stampede Gate  │   10k req   │   1 origin  │ Zero herd collapse        │
│ Standalone Remote Redis (Network IO) │   75.0 K/s  │   13.30 µs  │ Network + JSON parse cost │
└──────────────────────────────────────┴─────────────┴─────────────┴───────────────────────────┘

A runtime context memory substrate that prevents LLM hallucination and knowledge drift in autonomous production agents without model retraining.

Replaces expensive fine-tuning with an active runtime context layer that dynamically governs multi-tier memory graphs around frozen models (API or local).

• Governed Context Substrate: Eliminates catastrophic forgetting and output drift by actively regulating runtime context frames without model weight updates.
• Multi-Tier Memory Read Engine: Synthesizes reads across hot working memory, temporal knowledge graphs, and semantic embeddings into verified, context-budgeted prompt frames within bounded latency.
• Deterministic Assembly & Hybrid Retrieval: Merges structured entity relationships, sparse lexical indexes (BM25), and dense vector embeddings (pgvector) into calibrated token windows.
• Append-Only Capture Ledger: Continuous telemetry stream logging model inputs, tool interactions, and execution trajectories for asynchronous background distillation and graph compaction.
• Behavioral Verification Gates: Strictly validates model outputs through offline behavioral invariant gates before actions are committed to production systems.

┌──────────────────────────────────────┬─────────────┬─────────────┬───────────────────────────┐
│ Memory Substrate / Read Pathway      │ Recall Mode │ Latency     │ State Invariant Target    │
├──────────────────────────────────────┼─────────────┼─────────────┼───────────────────────────┤
│ L1 Working Context Frame             │ Dynamic Hot │ Zero-IO RAM │ Token-Budgeted Working Set│
│ L2 Temporal Knowledge Graph          │ Relational  │ < 2.4 ms    │ Entity Trajectory & State │
│ L3 Dense Semantic Store (pgvector)   │ Embedding   │ < 8.1 ms    │ Generalized Long-Term RAG │
│ Dynamic Memory Read Invariant Gate   │ Validated   │ In-Process  │ Zero Catastrophic Drift   │
└──────────────────────────────────────┴─────────────┴─────────────┴───────────────────────────┘

An event-driven talent platform and applicant tracking engine built to ingest, parse, and coordinate high-volume candidate pipelines in real time.

Consolidates fragmented enterprise hiring workflows into a distributed microservices monorepo running on low-overhead background workers.

• Distributed Domain Isolation: Turborepo monorepo separating distinct service domains (identity-svc, jobs-svc, candidates-svc, employees-svc) backed by NestJS and coordinated asynchronously over a Kafka (KRaft) event bus.
• High-Throughput Go Workers: High-performance resume parsing, semantic entity extraction, and asynchronous pipeline ingestion built in Go for maximum memory efficiency under heavy concurrency.
• Dual-Plane Web Architecture: Next.js App Router featuring high-speed ISR/SSR for public careers portals alongside a high-density, real-time operator workspace built with custom "Tech-Grotesque" design tokens.
• Resilient Data Layer: PostgreSQL managed via Drizzle ORM, multi-tenant RBAC security guards, Redis caching, and OpenSearch for instant full-text candidate indexing.
• Cloud Infrastructure as Code: Automated provisioning via Terraform spanning AWS ECS Fargate, Aurora Serverless, Amazon MQ, and S3 asset vaults.

A multi-agent execution harness that isolates worker processes and verifies tool outputs before actions reach production systems.

Enables autonomous multi-agent swarms to safely coordinate, discover tools, and execute complex engineering tasks through structured protocols.

• ACT (Agent Coordination Toolkit): Multi-agent CLI harness decoupling planning, tool invocation, and formal verification; operates Tier-1 in-process agent swarms directing headless Tier-2 worker processes via structured SPIL tasks.
• GLUE Framework: Declarative DSL linking engine designed to dynamically assemble, instantiate, and route collaborative agent collectives.
• Model Context Protocol (MCP): Implemented terminal-driven MCP server discovery, schema validation, and dynamic capability injection across local and remote agent environments.

An enterprise incident reporting platform engineered to guarantee whistleblower anonymity and meet strict EU Whistleblowing Directive and GDPR mandates.

Converts stringent regulatory requirements into high-assurance cloud software with end-to-end cryptographic integrity.

• End-to-End Product Architecture: Solely engineered the production B2B platform, converting complex legal privacy requirements into high-assurance cloud software.
• Cryptographic Case Lifecycle: Multi-stage case routing engine featuring dual-authorization workflows, immutable audit logs, and tamper-evident incident reporting.
• Ironclad Isolation: Multi-tenant PostgreSQL Row-Level Security (RLS) combined with isolated VPC network boundaries to guarantee zero metadata leakage and absolute informant anonymity.

┌─────────────────────────────────────────┐
│  ⚡ Zero-GC & Off-Heap Systems          │
│  /dev/shm POSIX tmpfs · 2.81M ops/sec   │
└────────────────────┬────────────────────┘
│
▼
┌─────────────────────────────────────────┐
│  🧠 Deterministic AI Governance         │
│  Governed context layer · Agent swarms  │
└────────────────────┬────────────────────┘
│
▼
┌─────────────────────────────────────────┐
│  🛡️ Defense-in-Depth Isolation          │
│  Cryptographic audits · Zero leakage    │
└─────────────────────────────────────────┘

• Deterministic AI over Stochastic Chaos: Grounding LLMs with strict behavioral boundaries, governed context substrates, and deterministic multi-phase evaluation.
• Low-Latency Systems Engineering: Squeezing hardware limits with POSIX /dev/shm shared memory, WASM SIMD filters, and binary protocols rather than bloated serialization layers.
• Zero-Trust Multi-Tenancy: Enforcing strict cryptographic boundaries, envelope encryption, and non-bypassable database policies across all enterprise tiers.

• Email: zadkareem@gmail.com
• LinkedIn: linkedin.com/in/kareem-osama
• GitHub: github.com/Kareem411