Dominik Stiftinger-Lang

Senior Backend & AI Systems Engineer / Engineering Lead

DominikStiftinger-Lang

I build production Go systems, machine-learning pipelines, and trading software where correctness is financially material.

Graz, Austria Remote EU Digital-asset & financial systems
Selected work Download CV
Profile

Profile

Hands-on engineering, company leadership, and project delivery.

Nine years across production software, quantitative finance, and applied mathematics. Alongside hands-on engineering, I have substantial company and project-management experience: co-founding and running technology companies, planning an FFG-funded R&D project, and leading Scrum-based delivery across Nerox and ChainBrain. I served as Scrum Master until 2023 and as Product Owner throughout; after the roles were separated, I focused fully on Product Ownership. ChainBrain began inside Nerox, operated under its own brand from 2023, and became an independent company in March 2025.

Based in
Graz, Austria
Engagement
B2B via Austrian FlexCo
Languages
German, English

Selected work

Production systems, delivery infrastructure, and quantitative research.

Representative work from ChainBrain projects and published research. Sensitive operational details are deliberately excluded.

01 / 06

AI-Assisted Software Delivery & Quality Control

Selected ChainBrain initiative · 2026–present

Designed bounded multi-agent workflows for implementation, codebase research, test generation, financial-flow audits, and independent verification. Reusable skills, structured handoffs, and evidence-based branch verdicts make AI-generated changes reviewable in a financially sensitive Go monorepo.

  • Claude Code
  • OpenAI Codex
  • MCP
  • Go
  • Python
  • GitLab CI
Auditable agent delivery for financial systems
  1. 01Task packetAcceptance criteria, financial risk
  2. 02Owned worktreesSpecialist agents, file boundaries
  3. 03QC lanesRace, unit, debt, reuse review
  4. 04Branch verdictPASS / CONCERNS / FAIL
Financial-flow auditsIndependent verifierReusable skills & handoffs

02 / 06

Distributed Portfolio Management & Trading Platform

Co-Founder, Lead Backend Engineer & Architect · 2022–present

As Product Owner, I lead priorities and delivery while remaining hands-on in the architecture and implementation of production Go services spanning portfolio construction, account state, best execution, reconciliation, reporting, and client-facing APIs. Durable workflows and idempotent financial processing support safe operation across regulated and hosted boundaries.

  • Go
  • Temporal
  • PostgreSQL
  • gRPC
  • OpenAPI
  • Docker
ChainBrain demo interface showing current and rebalanced portfolio allocations
Demo environment: portfolio allocation and rebalancing workflow

03 / 06

Multi-Venue Order Management & Execution

Lead Engineer · Selected ChainBrain project · 2024–2026

Within ChainBrain, led production venue integrations, best-execution algorithms, order-lifecycle state machines, fill and balance reconciliation, exposure controls, and execution-quality measurement. Across Nerox and ChainBrain, built adapters and execution infrastructure for a broad set of centralized crypto exchanges, including Binance, Kraken, Bitfinex, Poloniex, OKX, Bybit and Deribit.

  • Go
  • REST
  • WebSocket
  • PostgreSQL
  • Temporal
  • gRPC
Order-group execution process with reserve, placement, fill, and reconciliation states
Order-group execution and reserve lifecycle

04 / 06

Portfolio Optimization Architecture

Systems Architect / Quantitative Engineer

Designed the service path from public and private market data through portfolio optimization to multi-venue rebalancing. Explicit data and execution boundaries keep strategy computation separate from account state and exchange-specific behavior.

  • Market data
  • Optimization
  • Account state
  • Execution
  • Reconciliation
Architecture connecting market data, databases, portfolio optimization, rebalancing, and exchanges
Portfolio construction and execution service boundaries

05 / 06

Multi-Factor Investment Framework

Researcher / Lead Author · Crypto Valley Association Research Journal · 2025

Developed a layered allocation framework combining asset-specific, systematic, and subjective inputs with risk constraints and execution. The paper was the best-rated of twelve submissions to the journal issue.

  • Factor models
  • Black-Litterman
  • Risk constraints
  • Portfolio construction
  • Python
Multi-layer investment process combining asset-specific, systematic, and subjective factors
Published multi-layer investment process

06 / 06

Production Machine Learning & Reinforcement-Learning Research

Machine Learning Engineer / Quantitative Researcher

Built Apex as an end-to-end portfolio-optimization system: real-time exchange ingestion, feature engineering, TensorFlow/Keras training, automated tuning and backtesting, and staged live trading. Co-authored published spiking-neural-network research in 2021 and continued with actor-critic reinforcement learning for portfolio optimization in doctoral research from 2022.

  • Go
  • Python
  • TensorFlow
  • Keras
  • Gym
  • PostgreSQL
Apex production ML pipeline, 2020–2021
  1. 01Market dataGo/WebSocket, PostgreSQL
  2. 02Feature pipelineR, SQL, Python
  3. 03Model trainingTensorFlow/Keras, ResNet
  4. 04Validate & deployBacktests, staged live trading
2021 published SNN research From 2022 actor-critic research TensorFlow / Keras / Gym

Services

Focused support for systems that have to hold up in production.

01

AI-Assisted Engineering Systems

Agent workflows, reusable skills, MCP integrations, quality gates, and operating models for teams adopting coding agents without losing reviewability.

02

Distributed Backend & Financial Systems

Go services, durable workflows, APIs, data boundaries, reconciliation, and exchange integrations for high-consequence production environments.

03

Technology Leadership & Project Management

Project planning, Product Owner responsibility, Scrum-based delivery, stakeholder alignment, architecture decisions, and delivery risk.

Experience

From quantitative engineering to company and product leadership.

2026–present

AI-Assisted Engineering

Engineering Lead / Systems Architect

2022–present

ChainBrain FlexCo

Co-Founder & CEO / Lead Backend Engineer & Architect

2019–present

Nerox GmbH

Co-Founder / Head of Quantitative Finance / Chief Risk Officer

2020–2021

Graz University of Technology

Research Assistant, Theoretical Computer Science

2017–2019

Nerox GmbH

Co-Founder / Software Developer

Contact

Get in touch about backend, trading, and machine-learning systems.

Engineering work is contracted B2B. Scope, duration, and on-site requirements by arrangement.

dominik.lang@chainbrain.fi +43 670 6543777 LinkedIn