I am a diligent software engineer and avid open source developer with over 8 years of experience.
I am focused on building innovative and cutting-edge business solutions for clients around the world.
Unfortunately, many of what I do is not sourced, but feel free to take a look at my public repository here.
Python |
C# |
PyTorch |
TensorFlow |
React |
Vue |
Next.js |
PostgreSQL |
GraphQL |
|
FastAPI |
Flask |
Docker |
AWS |
GCP |
Azure |
Go |
Solidity |
Rust |
/// SolvC4u's motto
struct LinusTorvalds;
impl LinusTorvalds {
/// Return Linus Torvalds quote
fn said(&self) -> &str {
"Most good programmers do programming not because they expect to get paid /
or get adulation by the public, but because it is fun to program."
}
}
fn main() {
let linus_torvalds = LinusTorvalds;
println!("Linus Torvalds - {}", linus_torvalds.said());
}- Strategic AI Leadership: Over 3+ years architecting, building, and deploying AI/ML systems that drive business value. Proven ability to lead cross-functional teams and align AI initiatives with product and company strategy.
- Full-Stack ML Engineering: Deep hands-on expertise in Python, TensorFlow, PyTorch, JAX, and OpenAI APIs. Skilled in training foundation models, fine-tuning LLMs, optimizing inference pipelines, and integrating AI into production-grade software.
- Advanced ML & Deep Learning: Proficient in classical ML algorithms and state-of-the-art architectures (Transformers, GANs, VAEs, Diffusion Models). Experienced in multimodal learning, self-supervised learning, and reinforcement learning.
- Data & MLOps Excellence: Strong background in data architecture, feature engineering, and building scalable pipelines using MLflow, Airflow, and Ray. I ensure reproducibility, versioning, observability, and model explainability at scale.
- AI x Blockchain Innovation: Spearheading AI integration into Web3 — including smart contract analysis with LLMs, anomaly detection in on-chain data, and autonomous agents in decentralized finance and governance systems.
- Cloud-Native AI Deployment: Extensive experience deploying AI systems on AWS, GCP, and Azure. Containerization (Docker, Kubernetes), REST/gRPC API development, and end-to-end CI/CD for real-time and batch inference at scale.