/ Think. Deisgn. Code. Deploy.

AI, Embedded, Blockchain — Shipped, Not Theorized.

Diop Vector lab is a living record of rmy current projects : architecture decisions, integration failures, and knowledge base code across every domain I am interested in. The moto is Signal over noise — always.

— Active technical domains

Processes currently running

• AI / ML
• Embedded
• Blockchain
• AI Agents

LLM Engineering

ESP32 + FreeRTOS

Solidity + Bitcoin

RAG + Agent Systems

PyTorch, LangChain, PydanticAI — fine-tuned pipelines with documented failure modes, not benchmark theatre.

Bare-metal firmware, MQTT telemetry, and constrained inference — documented at the hardware limit.

Smart contracts, on-chain state machines, and protocol-level analysis — not wallet tutorials.

Retrieval pipelines, vector databases, and autonomous agent loops — traced end-to-end with real data.

• Distributed Systems
• DevOps
• Real-Time Analytics
• IoT

Kafka Streaming

Docker + Kubernetes

Grafana + FastAPI

Sensor + Edge Systems

Event-driven pipelines at scale — partitioning strategy, consumer lag, and the production failures that clarified the design.

Container orchestration, GitOps workflows, and cluster-level observability — reproducible from manifests.

Metrics pipelines, live dashboards, and API instrumentation — built to surface what matters under load.

Hardware-to-cloud telemetry pipelines — firmware, protocol, and ingestion layer designed as one system.

• Python Engineering

• Golang

• Cloud Infrastructure

Systems-Grade Python

Low-Level Systems

Distributed Infrastructure

Async patterns, typed interfaces, and performance-critical Python — where the language is a constraint, not a convenience.

Memory-safe systems code for embedded targets and high-throughput services — ownership model as a design tool.

Multi-region deployments, service mesh, and cost-aware architecture — decisions documented at each scale boundary.

+ Reproducible reference

Syntax-highlighted, searchable, and documented where it fails — every entry covers a real integration problem across ESP32, Kafka, LangChain, Solidity, Kubernetes, and more.

The knowledge base is the proof