™omosH✔

Systems Engineer, Infrastructure & Distributed Computing

Designing and implementing fault-tolerant systems at the intersection of web infrastructure, consensus protocols, and network security. Specializing in low-latency services, cryptographic systems, and zero-trust architecture.

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Profile

Principal systems engineer focused on secure distributed computation and resilient infrastructure. I architect and operate fault-tolerant services across cloud, edge, and consensus-based networks, with emphasis on formal verification, zero-trust security models, and sub-50ms latency constraints. Current work explores adversarial robustness in decentralized protocols and eBPF-driven observability at scale.

Selected Impact

Technical Credentials

Research & Core Domains

workID

Services

Distributed Application Architecture

Design and implementation of fault-tolerant, horizontally scalable web services. Performance budget enforcement, API contract design, and production-grade observability. Full lifecycle ownership from RFC to SRE.

Network Systems & Infrastructure

High-availability network design: BGP, VXLAN overlays, and zero-trust segmentation. Wireless architecture for high-density RF environments. Latency profiling, packet-level analysis, and QoS policy enforcement.

Systems Arc. & Platform Engineering

Linux/Windows/Mac-Darwin platform hardening, kernel tuning, and fleet automation. Infrastructure-as-code, immutable infrastructure, and GitOps pipelines. Focus on MTTR reduction and toil elimination via custom operators.

Consensus Systems & Cryptographic Protocols

Smart contract development with formal verification properties. L2 architecture, MEV mitigation, and on-chain/off-chain hybrid systems. Protocol-level security audits and economic attack modeling.

Adversarial Security Engineering

Threat modeling, red-team operations, and binary analysis. Zero-trust implementation, TEE attestation, and supply-chain integrity. Deliverables include reproducible exploit PoCs and hardened reference architectures.

ML Systems & Process Automation

Production ML pipelines: data ingestion, feature stores, model serving, and eval harnesses. LLM fine-tuning, RAG, and agent orchestration. Latency/cost optimization for inference at scale. All pipelines instrumented.

Embedded & Automotive Systems

Real-time operating systems, AUTOSAR components, and CAN/LIN bus diagnostics. Safety-critical software per ISO 26262. HIL testing, UDS protocols, and OTA update infrastructure with rollback guarantees.

Digital Art, CAD & Computational Design

Professional illustration, technical drawing, architectural visualization, and computer-aided design workflows. Specialized in freehand sketching, cross-hatching, realistic rendering, portrait reconstruction, digital sculpting, 3D modeling, and visual prototyping using industry-standard design methodologies. Creating accurate concepts, product visuals, architectural models, and presentation-ready creative assets.

Systems Engineering & Technical Field Operations

End-to-end technical support covering system administration, hardware diagnostics, device maintenance, and software troubleshooting across Linux/Unix, Windows, macOS, embedded platforms, IoT systems, smart devices, and consumer electronics. Advanced terminal operations, performance optimization, network configuration, OS deployment, repair workflows, TV installation, device setup, and infrastructure problem resolution.

Selected Engineering Work

Production systems delivered across distributed infrastructure, security, and intelligent automation. Each system designed for fault tolerance, adversarial resilience, and measurable SLOs.

High-Availability Distributed Applications

Full-Stack Development · Cloud Infrastructure · SRE

  • Built: Event-driven microservices on Kubernetes with gRPC, Postgres, and Redis. Stateless compute + CQRS data plane.
  • Solved: Tail-latency reduction from p99 800ms → 47ms via connection pooling, async I/O, and CDN edge compute.
  • Deployed: Multi-region active-active with Terraform + ArgoCD. Automated canary + SLO-based rollback.
  • Scaled: 0 → 2.3M req/day, 99.995% availability. Cost-optimized to $0.003 per 1k requests.

Zero-Trust Network Architecture

Cybersecurity · Cloud Infrastructure · Automation Engineering

  • Built: Software-defined perimeter with WireGuard mesh, SPIFFE/SPIRE workload identity, and eBPF policy enforcement.
  • Solved: Lateral-movement risk eliminated via microsegmentation. Reduced attack surface 81% vs legacy VPN.
  • Deployed: Hybrid cloud + edge, 150+ nodes. Declarative configs, GitOps, automated cert rotation.
  • Scaled: Supports 10Gbps east-west traffic with <1ms overhead. Unified observability via OpenTelemetry.

Consensus Protocol & Smart Contract Systems

Distributed Systems · Cybersecurity · Applied Research

  • Built: BFT consensus sidechain with TEE-attested validators. Solidity contracts with formal verification in Certora.
  • Solved: MEV extraction vector via commit-reveal scheme + time-lock puzzles. Gas optimization 44% vs baseline.
  • Deployed: Audited mainnet release, multisig governance, timelock + emergency pause. Full SBOM + repro builds.
  • Scaled: 4.1k TPS sustained, 1.2s deterministic finality. $18M+ TVL secured with zero incidents.

Production ML Inference Platform

Artificial Intelligence · Automation Engineering · Cloud Infrastructure

  • Built: Real-time RAG pipeline: vector DB, re-ranking, and fine-tuned Llama-3 served via vLLM + Triton.
  • Solved: Hallucination rate 19% → 2.1% using grounded generation + eval harness with 1k adversarial prompts.
  • Deployed: GPU autoscaling on GKE, quantized models, request batching. PII redaction + audit logging.
  • Scaled: 60k req/hour at p95 320ms latency. 73% inference cost reduction via dynamic batching + speculative decoding.
Technical Case Studies Applied Research & Publications
omosH

Systems Engineering & Applied Research

I design, implement, and operate secure distributed systems for production environments. Work spans infrastructure, protocols, and intelligent automation with emphasis on fault tolerance, adversarial resilience, and measurable performance under constraint.

Build

Fault-tolerant services across cloud, edge, and consensus layers. Stack: Kubernetes, Go, Rust, PyTorch. From RFC to implementation: API design, data planes, cryptographic protocols.

Solve

Tail-latency optimization, byzantine failure modes, and adversarial inputs. Approach: formal methods, threat modeling, performance profiling. Delivered 60%+ latency reduction and 80%+ attack surface reduction in prod.

Deploy

Zero-downtime releases via GitOps, IaC, and automated canary analysis. Multi-region, zero-trust, attested infrastructure. Full SBOM, signed artifacts, SLO-based rollback. 99.995% availability maintained.

Scale

Horizontal systems handling 2M+ req/day and 4k+ TPS. Cost-aware autoscaling, eBPF observability, and capacity planning. Infrastructure tested through chaos engineering and quarterly DR drills.

Core Domains

Technical Credentials

™omosH ✔ is trusted with: PCI-compliant systems, financial settlement, $18M+ TVL, sub-50ms SLA environments

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