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@echenim
echenim
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William Echenim echenim

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echenim /README.md

πŸ‘‹ Hey, I’m William Echenim

πŸš€ I’m a Senior Backend Engineer, Systems Architect who loves building infrastructure that scales β€” cleanly, efficiently, and reliably.

🧠 Over the years, I’ve engineered real-time bidding engines, telemetry pipelines, and blockchain systems that handle 100K+ events per second and don’t flinch under pressure.

Most of my work sits at the intersection of distributed systems, streaming infrastructure, and real-time decisioning. I enjoy solving challenges around latency, scale, and observability β€” and I’m most at home when I’m deep in Go, Rust, gRPC, Kafka, Flink, or wrangling performance issues in Kubernetes.

If it’s high-throughput, fault-tolerant, or mission-critical β€” I’m probably interested.

Let’s just say: I like building things that work even when things go wrong.


πŸ“Œ Pinned Projects

  • 🧠 ContextOs: Context-driven operating layer for structured memory, task execution, and agent-style workflows
  • πŸ› οΈ Nekton-Server: High-performance MCP server for vLLM/Ollamaβ€”real-time data augmented, multi-user, and built for scale.
  • πŸ›° StrataLinks-DSP: Real-time ad bidding engine built with Go, Kafka, Flink, and gRPC
  • πŸ” Onchain Micropayments: Rust + Go system for high-volume, sub-cent crypto transactions
  • ⚑️ zkDEX Executor: Execution router + proof generator using Go and Rust for zk-rollup environments
  • πŸ“‘ Telemetry Ingestor: Sensor-style data pipeline ingesting and analyzing high-frequency data streams

πŸ›  Tech Stack: My Favorite Toys

Go Rust Python C%23 C%2B%2B TypeScript Elixir Erlang Envoy HAProxy Kafka NATS Redis RabbitMQ Flink Pulsar PostgreSQL ScyllaDB Cassandra Aerospike DynamoDB MySQL Oracle MSSQL Neo4j JanusGraph Qdrant Milvus Docker Kubernetes AWS GCP GitHub Actions Prometheus Grafana OpenTelemetry Ethereum Solana Avalanche Substrate CosmWasm


🎯 Fun Facts

  • 🧠 Built distributed systems handling 100K+ QPS with sub-100ms p99 latency
  • ✍️ Contributed to blockchain runtimes, zk-rollup infra, and high-frequency event processors
  • πŸ“Œ Favorite Quote:

    "Build systems that fail gracefully, recover fast, and scale without begging."


πŸ“¬ Reach Out

I'm always open to:

  • 🎯 High-impact backend challenges
  • πŸ§ͺ Startup infrastructure problems
  • 🧠 Mentorship, collab, or just a good engineering convo

Feel free to connect or drop a message:


Pinned Loading

  1. AvalancheConsensusProtocol AvalancheConsensusProtocol Public

    Avalanche Consensus is a consensus protocol that is scalable, robust, and decentralized. It combines features of both classical and Nakamoto consensus mechanisms to achieve high throughput, fast fi...

    Go 3

  2. hf-batch-downloader hf-batch-downloader Public

    Automate bulk downloads of Hugging Face LLMs with retry logic, manifest export, checksum validation, and usage reporting. Ideal for managing GGUF models at scale.

    Python

  3. TXGraph TXGraph Public

    Built to answer: How do you execute millions of smart contract transactions β€” concurrently β€” without breaking determinism?

    Go

  4. ContextOs ContextOs Public

    The MCP Server is a production-grade Model Context Protocol implementation designed to work with multiple local LLMs (including vLLM) for flexible and efficient AI inference.

    Go

  5. PaxosConsensus PaxosConsensus Public

    look up repo for micro-service-api-design

    Go

  6. Bedrock Bedrock Public

    Bedrock is a full-stack BFT protocol node implementing a HotStuff/Tendermint-style consensus protocol with deterministic execution and adversarial networking assumptions. It is designed to tolerate...

    Rust

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