Technologies
Engineering technologies behind complex operational systems
From AI orchestration and forecasting models to LiDAR integration, scientific computing, and autonomous control systems.
Core technology stack
Technologies selected for performance, scalability, synchronization, and real-world operational constraints.
Backend systems
Python, FastAPI, asynchronous architectures, distributed processing, APIs, orchestration logic, and high-load backend infrastructure.
Scientific computing
NumPy, SciPy, xarray, Cartopy, mathematical modeling, environmental simulations, and scientific data processing.
Frontend & interfaces
React, Next.js, TypeScript, Tailwind, operational dashboards, analytics interfaces, and real-time visualization systems.
Data infrastructure
PostgreSQL, ClickHouse, Redis, vector databases, graph databases, caching, and large-scale analytical storage.
AI & machine learning
LLM orchestration, RAG pipelines, embeddings, forecasting models, semantic search, and AI-assisted automation.
Mobile & spatial computing
Swift, SwiftUI, ARKit, RealityKit, real-time synchronization, and hardware-connected mobile systems.
Built for production-scale systems
Technologies operating continuously across live infrastructure, telemetry streams, hardware devices, and unstable environments.
Real-time synchronization
Systems designed for continuous communication between APIs, devices, operators, sensors, and live operational data streams.
Infrastructure resilience
Architectures built to handle unstable inputs, asynchronous workflows, telemetry interruptions, and imperfect real-world conditions.
Hardware communication
Integration with LiDAR, IMU sensors, laser modules, serial devices, telemetry systems, and embedded controllers.
AI-assisted orchestration
Operational pipelines combining automation logic, validation systems, machine learning, and decision-support workflows.
Applied engineering technologies
Frameworks, protocols, platforms, and systems used across real-world engineering projects.
FastAPI
React
Next.js
TypeScript
PostgreSQL
ClickHouse
Redis
Qdrant
Neo4j
Docker
LangChain
SwiftUI
ARKit
Leaflet
MapLibre
Telethon
aiogram
SonarQube
WebSocket
LiDAR & IMU
Technology applied in real operational systems
Examples of technologies working together inside production environments.
Ocean forecasting
Scientific data ingestion, environmental modeling, satellite streams, and predictive analytics.
AI analytics infrastructure
Large-scale audience analytics, embeddings, recommendation systems, and behavioral forecasting pipelines.
Agricultural robotics
Computer vision, hyperspectral analysis, robotics coordination, and autonomous monitoring systems.
Autonomous aviation
Telemetry processing, stabilization logic, embedded controllers, and autonomous navigation systems.
Enterprise AI automation
RAG pipelines, code validation systems, orchestration layers, and AI-assisted operational workflows.
Spatial visualization
Laser synchronization, CAD parsing, LiDAR processing, and real-time hardware communication.