The Person Behind TradeOps

Hendrik Fuchs

FounderSoftware EngineerSystems Researcher

A technical founder building software systems, exploring artificial intelligence, and researching how technology works beneath the surface.

Founder Story

Curiosity became the path into engineering.

Hendrik's path into technology did not begin through a traditional software engineering route. It began with curiosity, self-directed learning, and the need to understand how useful systems are actually put together.

Programming became a practical way to turn that curiosity into working products. Over time, he built software across multiple domains, moving between backend engineering, data processing, automation, web applications, and lower-level systems work.

The common thread is depth. Hendrik is interested not only in using a framework, but in understanding the architecture, data flow, and behavior beneath it. That approach eventually led him to found TradeOps and build the platform from the ground up.

2011-2013Technical training

Developed practical technical foundations before moving into software engineering.

2013-2017Architectural design & technical work

Worked in technical environments where precision, planning, and translating requirements into practical output mattered.

2014-PresentSelf-directed programming

Built programming knowledge independently through study, experimentation, and complete software projects.

2017-2020Business software

Built software around operational requirements, automation, data, and real business workflows.

2020-PresentIndependent software development

Delivered custom software directly to clients across web applications, backend systems, automation, and technical problem solving.

PresentFounder of TradeOps

Leads the product vision and technical implementation of the TradeOps platform.

Founder of TradeOps

From product concept to operating platform.

Hendrik is the founder and technical builder behind TradeOps. His role spans product vision, software architecture, implementation, and the operational details required to turn an idea into a working platform.

Product vision
Software architecture
AI-powered workflows
Backend systems
Data processing
Platform implementation
Software Engineering

Engineering across the full system.

The work crosses languages and layers, but the objective stays consistent: build software that solves a real problem and remains understandable enough to operate responsibly.

01

Backend

Building the services, interfaces, and data boundaries that keep products dependable as they grow.

PythonTypeScriptC#RustAPIsDatabase architectureBackend systems
02

Data

Turning fragmented information into repeatable pipelines, analysis, and operational software.

Data pipelinesAnalytics systemsGeospatial processingData processingAutomation
03

Full Stack

Taking products from a working concept to a complete application used through real business workflows.

Production web applicationsAuthenticationReal-time systemsBusiness workflows
Selected Projects

Working software across different problem spaces.

These public projects show the range of Hendrik's engineering interests, from backend architecture and data systems to product workflows and technical tooling.

Teaching & Knowledge Sharing

Understanding improves when it can be explained.

Hendrik has created and published two Udemy courses, including teaching Pine Script and practical programming concepts. Teaching has strengthened his ability to break technical ideas into understandable steps without removing the details that make them useful.

View Udemy profile
Independent Development

Software built around real client problems.

As an independent software developer, Hendrik has completed more than 80 Fiverr projects. The work has involved building custom solutions, working directly with clients, and translating business requirements into technical systems that can be used in practice.

View Fiverr profile
Security & Systems Research

Studying what software does beneath the interface.

Alongside software development, Hendrik maintains an interest in understanding how software works internally. The work is practical and exploratory, connecting reverse engineering techniques with better vulnerability awareness, security tooling, and more secure software development.

Responsible Research

All security research is performed only on systems owned by Hendrik or where explicit authorization has been granted.

Security Research & Defensive Tooling

Hunter Extensions & ReconPilot

A local security-research workspace built to reduce noise without removing the operator from the investigation. Hunter explores an evidence handoff model for Burp Suite, while ReconPilot implements a Rust-based pipeline for collection planning, normalization, enrichment, graph correlation, prioritization, and reporting.

The architecture keeps external-tool execution and AI reasoning behind separate, explicit controls. Model output is treated as a hypothesis that must cite available evidence and still requires analyst validation.

View project on GitHub
Status
Active research project
Repository
Public on GitHub
Focus
Defensive workflows & evidence analysis
Languages
Java, Rust, TypeScript
Interfaces
Burp workflow, CLI, Tauri desktop
Safety model
Scope-first, dry-run by default
What The Project Explores

Concrete engineering areas represented in the current research codebase.

01

Scope-first orchestration

Explicit include and exclude rules, dry-run defaults, and separate execution controls keep operator intent visible.

02

Attack-surface mapping

Structured collection, normalization, enrichment, and graph correlation turn fragmented observations into an application map.

03

API & JS intelligence

Local artifacts are analyzed for API families, schemas, authentication indicators, objects, routes, and JavaScript findings.

04

Evidence correlation

Routes, entities, trust boundaries, diffs, and workflow transitions are connected before an analyst assigns priority.

05

Analyst-controlled AI

Codex is optional, invoked deliberately, and used to form hypotheses from bounded evidence rather than validate findings.

06

Review & audit

Machine-readable outputs, casefiles, validation reports, and append-only audit events preserve how conclusions were reached.

Research Philosophy
Technology is a tool. Building powerful systems requires equal attention to reliability, security, and responsible use.

Hendrik focuses on creating useful software while continuously improving his understanding of how systems behave.

Contact

Connect with Hendrik.

For professional conversations, project context, or technical work, use any of the links below.