I'm Vic, an engineer and builder driving real-world impact through bleeding-edge infrastructure across Solana, Polkadot, Ethereum, and modern clients.
My north star: ship 1B+ USD worth of decentralized systems to accelerate global autonomy, intelligence, and transparency β at scale.
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I am heavily involved in working with network performance bottlenecks, building blockchain data pipelines, and solving complex data problems in decentralized infrastructure and protocols.
Presently: Solana
, Substrate
, EVM
, Rollups
, Layer2
, Data Infrastructure
, P2P Networking
, Node Architecture
, Local-First Systems
, and Compute Over Data
- π§± 15 years in software engineering
- π± 12 years of Nodejs
- π 10 years of Python
- π¦ 6 years of Rust
- πΉ 2 years of Go
- π§ͺ 12 years in data, machine learning, and AI
- ποΈ 12 years of SQL/NoSQL
- π§± 8 years of Big Data
- π€ 6 years in AI
- πΈοΈ 5 years building Web3 protocols
- π 4 years Ethereum (EVM)
- β‘οΈ 2 years Solana
- π 2 years Substrate
{
"blockchain": [
"Solana", "Substrate", "NFTs", "Ethereum", "op-geth", "Firedancer"
],
"machine_learning_and_data_science": [
"TensorFlow", "PyTorch", "LLMs (LlamaCpp, HuggingFace, LangChain)",
"Computer Vision (Edge Detection, Segmentation, Tracking)",
"Deep Reinforcement Learning"
],
"data": [
"PostgreSQL", "MongoDB", "Redis", "MySQL", "MSSQL", "HBase",
"JanusGraph", "Qdrant", "ElasticSearch", "Hadoop", "Spark", "Dagster", "Airflow", "dbt"
],
"backend": [
"Python (Tornado, Falcon)", "NodeJS (Express, SocketIO, Async)",
"Rust (Tokio)", "Java (SpringBoot)"
],
"devops_and_monitoring": [
"Docker", "Kubernetes", "Terraform", "ChaosMonkey", "Jepsen",
"TIG Stack (Telegraf, InfluxDB, Grafana)",
"ELK Stack (Elasticsearch, Logstash, Kibana)"
],
}
cere-network
β Decentralized AI Agent Platformpayout
β Payout, fees, and debt managementoffchain-worker-etl
β Consensus-based aggregation of distributed activitymerkle-proofs
- Proof-of-activity batching via MMR trees
op-bnb
β OpStack-based optimistic rollup for BNB Chainop-batcher
β Foundational contributions to Optimism client to solve race conditionop-perf
β Node sync improvements and state verificationop-node
β Client patch for sequencer backpressure handling
kermes
β Solana Restaking Platform- Multi-Asset Staking: SPL tokens, SPL-2022 tokens, NFTs, and LSTs
- Vault Share Tokens: LP-like representation of user shares
- Reward System: Rewards in tokens, points, or NFTs
- Secure CPI: Safe cross-program interactions
random-pedersen
β Pedersen commitment and randomness tooling- Secure Decentralized Randomness: Pedersen + MPC for tamper-proof RNG.
- Homomorphic Aggregation: Combine values without revealing inputs.
- Collaborative Commit-Reveal Protocol: Multi-node process with integrity checks.
- Axum-based JSON AP*: Minimal HTTP API with ephemeral cache.
llama-eats
β AI-powered food ordering with contextual LLM recommendations- LLM-Powered Intent Parsing: Uses quantized LLaMA-2 for dynamic dialogue state tracking.
- Vector-Based Preference Matching: Embedding models + cosine similarity for dish retrieval.
- Numerical Inference via Fine-Tuned GPT-2: Parses budget constraints from natural expressions.
- Context-Preserving Session Embeddings: UUID-based context store for coherent multi-turn ordering.
raceme-js
β Modular clustering framework with genetic algorithm extensions- Genetic Clustering Extensions: Implements genetic-based algorithms tailored for social network community detection.
- Multi-Store Adaptability: Supports planned adapters for Cassandra, MongoDB, and Neo4j.
- Algorithm Diversity: Supports K-Medoids, Fuzzy C-Means, and Betweenness clustering.
- Performance & Comparisons: Framework benchmarking and comparing clustering models.