AI and blockchain engineering for Web3 and ML systems
DeepStack is a 9-person engineering team in Hyderabad building AI and blockchain systems using a modern polyglot stack: Rust and C++ for backend services (Actix, Axum, Tokio), Python for ML (TensorFlow, PyTorch, scikit-learn), and Substrate/Cosmos SDK for blockchain modules. The company is anchored in systems work — no hiring in the last 30 days and a 4:1 mid-to-senior ratio suggest a stable, project-driven operation focused on depth over growth. Active projects center on ML pipeline scaling and model-to-API integration, with documented pain around production ML deployment.
DeepStack develops custom AI and blockchain solutions for clients who need careful engineering and long-term technical partnership. The team operates from Hyderabad as a tightly scoped group of 9 engineers, all based in India. Their work spans three domains: machine learning pipeline architecture and LLM integration, blockchain module development for Substrate and Cosmos, and backend API design. The technology choices — Rust, C++, PostgreSQL, Kubernetes for infrastructure; TensorFlow and PyTorch for ML — reflect a focus on production-grade systems rather than rapid prototyping. No recent hiring and minimal turnover suggest the team is stable and client-focused.
Rust, C++, Python (TensorFlow, PyTorch, NumPy, pandas), PostgreSQL, Redis, Kubernetes, Docker, Substrate, Cosmos SDK, and WebAssembly. For observability: Prometheus, Grafana, Jaeger.
Scalable ML pipeline development, LLM prompt engineering, model integration into backend APIs, and blockchain module development using Substrate and Cosmos SDK.
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