Samuel Kopp-Agentic AI Engineer & Technical Lead
Check rate
Experience
Founder & Agentic AI Engineer
Agentakt LLC
Independent engineering practice focused on custom AI systems, production delivery, and fractional technical leadership.
Selected client engagement: Scalutions
Role: Serve as fractional CTO and hands-on technical lead, responsible for the architecture and agentic infrastructure behind its managed B2B outbound operation.
Product: Designed and built OutboundLoop, an agentic SDR operating system for research, qualification, personalized outreach, campaign management, human approvals, measurement, and continuous improvement.
Scope: Own the full system lifecycle—from business processes and agent behavior to context design, model routing, integrations, evaluation, telemetry, reliability, cost control, and production operations.
Senior Machine Learning Engineer; Technical Lead
Chaos
Applied AI research and product engineering for professional 3D visualization across Enscape, Envision, V-Ray and Cylindo products.
Originated the concept and became the first technical lead for Chaos AI Assistant, a cross-platform copilot for 3D artists that interacts with scenes, guides users and helps turn design intent into actions inside Enscape and Envision.
Designed the core agent runtime and modular skill architecture: provider-agnostic model access, typed tool calls, context construction, session state, streamed communication, retries and rate limits, evaluation, tracing and safeguards.
Led a core group of four to five engineers and coordinated AI, application, cloud, product, UX and security work to move the system from R&D into products within a software portfolio serving nearly one million users.
Chaos AI Assistant — Owned technical direction for agent behavior, orchestration, application integration and production quality. Built reusable skills including hybrid retrieval and multimodal 3D-asset search, and established evaluation, observability and feedback mechanisms for a continuously evolving assistant.
Cylindo Quickshot — Owned R&D for a state-of-the-art lifestyle-image generation workflow that bridges 3D product design and generative imaging. Designed the product workflow and combined image processing, image generation and model fine-tuning into a controllable system usable by product teams and customers.
Generative photorealism — Led development of render-to-photo enhancement, including large-scale Google Cloud data and training pipelines, custom deep-learning architectures, adversarial training and quality evaluation.
3D scene assembly and asset placement — Led research combining LLM-based scene reasoning, procedural generation and mathematical optimization; translated the work into product directions and guided a Chaos-funded collaboration with TUM's Visual Computing Lab.
Knowledge and multimodal retrieval — Built hybrid retrieval and multimodal search for assistants across product knowledge and 3D assets, including metadata/vector indexing, query decomposition and reranking.
Founding Engineer
Textplore.ai
Built a text-analytics SaaS product on AWS using API Gateway, AppSync/GraphQL, ECS, Lambda, S3 and DynamoDB, with LLM and topic-modeling workflows for document analysis.
Freelance Tutor
VELPTEC GMBH
Delivered professional training in Docker, data science, machine learning and cloud engineering.
Lead Machine Learning Engineer — Data Products (via NeurisionLabs)
Standard Bank Group
Long-running engagement with the Data Intelligence team, building models and data products for banking and telecom operations in African markets.
- Built an event-driven AWS system for a telecom loyalty campaign in Zambia, covering customer selection, telecom API integration, airtime delivery, stateful orchestration and reporting.
- Developed behavioral airtime-credit models for mobile subscribers in Ethiopia, speech-mining workflows and a computer-vision retail shelf-intelligence service, from experimentation through APIs, GPU inference and monitored operation.
- Built Standard Bank's Nomanini trader-data pipeline and demand-forecasting and reporting workflows across tens of terabytes using S3, Kinesis, Glue, Athena, Step Functions, Lambda/ECS, QuickSight and Power BI.
- Integrated systems with telecom and banking APIs and collaborated with product, data and business stakeholders in regulated, multi-country environments.
Freelance Tutor
upGrad
Taught Python and data-science content to working professionals and master's-level learners through lectures, tutorials and applied exercises.
Founder, Owner & Lead AI/ML Engineer
NeurisionLabs
AI engineering consultancy delivering bespoke machine-learning products, cloud platforms and technical advisory for more than 30 clients.
Built and led a distributed delivery team; owned discovery, architecture, hands-on engineering, client communication, reviews and production handover across focused prototypes and multi-month systems.
Selected client engagements:
- Standard Bank Group — Long-running data-intelligence engagement spanning banking and telecom products across African markets.
- LV3 / RONTGEN — Production computer-vision and MLOps platform for airport-security screening in Japan, including Narita and Kansai International Airports.
- Elekore — Cloud-hosted electricity-market analytics and forecasting product with authenticated web interfaces, data pipelines and operational dashboards on AWS.
- Pulsehound — Legal-document processing, topic modeling, semantic search and analysis using NLP, transformers and LLMs.
- DevCare Solutions — Dockerized invoice-processing microservice on AWS using Textract, S3, EventBridge and Lambda/ECS.
Delivered computer vision, forecasting, risk and decision models, document intelligence, analytics products, MLOps platforms and full-stack cloud applications. Maintained a Top Rated consulting profile with 100% job success and 5/5 client feedback.
Data Scientist (Research Internship)
Institute of Data Science, Maastricht University
- Applied forecasting, statistical analysis and machine learning to renewable-energy and energy-transition research.
Machine Learning Researcher
SwarmLab, Maastricht University
- Led a four-person student research team developing deep-reinforcement-learning methods for quadrupedal locomotion and built reproducible simulation, training and evaluation pipelines for HPC and cloud environments.
Entrepreneurship & business development intern
IdeaPortal Services
Worked in a startup-incubation environment in Mysore, India, gaining early experience in product thinking, venture development and customer-facing work.
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology, Banking and Finance, Telecommunication, Aerospace and Defense, Professional Services, and Utilities.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology, Research and Development, Product Development, Operations, Business Intelligence, and Sales.
Summary
I’m an agentic AI engineer and technical lead with eight years of experience building production AI systems end to end. I design tool-using assistants, copilots, long-running agent workflows, RAG and knowledge systems, context and memory layers, evaluation systems, and the supporting software and cloud architecture.
My broader experience includes multimodal and generative AI, computer vision, forecasting, risk and decision models, optimization, and data platforms. I’ve shipped AI systems across a global 3D software portfolio serving nearly one million users, worked with Standard Bank Group in a long-running engagement, and supported more than 30 consulting clients.
Skills
Agentic Ai & Llm Systems: Llm Applications, Agents And Copilots, Tool/Function Calling, Structured Outputs, Orchestration, Rag/Graphrag, Context Engineering, Memory, Mcp, A2a, Human-In-The-Loop And Multimodal Ai; Openai, Claude, Gemini, Langgraph And Langchain
Ai Quality & Operations: Eval-Driven Development, Automated And Human Evaluation, Tracing And Observability, Prompt/Model Versioning, Feedback Loops, Guardrails, Red Teaming, And Reliability, Latency And Cost Optimization; Opentelemetry, Langfuse And Langsmith
Software Engineering & Architecture: Fastapi, Pydantic, Django, Node.Js, Rest/Graphql/Grpc, Asynchronous, Event-Driven And Distributed Systems, Microservices, Postgresql, Redis, Vector Databases, Multi-Tenancy, Oauth2/Oidc, Rbac, Testing And Api Design
Cloud & Platform Engineering: Aws, Gcp And Azure; Docker, Kubernetes, Serverless Systems, Terraform/Iac, Github Actions, Ci/Cd, Iam And Secrets, Autoscaling, Gpu Inference, Caching, Monitoring And Incident Response
Data Engineering & Analytics: Data Modeling, Etl/Elt, Batch And Streaming Pipelines, Warehouses, Data Lakes And Lakehouses, Spark, Airflow, Dbt, Data Quality, Analytics, Experimentation And Production Data Platforms
Machine Learning & Mlops: Pytorch, Tensorflow, Hugging Face And Scikit-Learn; Deep Learning, Fine-Tuning, Feature Engineering, Training And Data Pipelines, Experiment Tracking, Mlflow, Weights & Biases, Model Serving, Monitoring, Drift And Lifecycle Management
Applied Ai & Data Science: Computer Vision And Vision-Language Models, Generative Ai, Nlp And Document Intelligence, Search, Retrieval, Ranking And Recommendation, Forecasting And Time Series, Anomaly And Risk Modeling, Reinforcement Learning And Optimization
Ai Security & Governance: Prompt-Injection Defenses, Least-Privilege Tool Authorization, Sandboxing, Human Approvals, Pii And Privacy Controls, Audit Logging, Secure Credentials, And Owasp Llm And Agentic Risks
Languages
Education
Monash University
Computer Science & Mathematics · Melbourne, Australia
Maastricht University
BSc Data Science & Artificial Intelligence · Data Science & Artificial Intelligence · Maastricht, Netherlands
Christoph-Scheiner-Gymnasium
Abitur · Informatics, Physics & Ethics · Ingolstadt, Germany
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Samuel is based in Ingolstadt, Germany and prefers 100% remote projects.
Samuel speaks the following languages: German (Native), English (Advanced).
Samuel has at least 8 years of experience. During this time, Samuel has worked in at least 9 different roles and for 10 different companies. The average length of individual experience is 1 year and 10 months. Note that Samuel may not have shared all experience and actually has more experience.
Based on recent experience, Samuel would be well-suited for roles such as: Founder & Agentic AI Engineer, Senior Machine Learning Engineer; Technical Lead, Founding Engineer.
Samuel's most recent position is Founder & Agentic AI Engineer at Agentakt LLC.
In recent years, Samuel has worked for Agentakt LLC, Chaos, Textplore.ai, VELPTEC GMBH, and Standard Bank Group.
Samuel is most experienced in industries like Information Technology, Professional Services, and Banking and Finance. Samuel also has some experience in Telecommunication, Aerospace and Defense, and Utilities.
Samuel is most experienced in business areas like Information Technology, Research and Development, and Product Development. Samuel also has some experience in Operations, Business Intelligence, and Sales.
Samuel has recently worked in industries like Information Technology, Banking and Finance, and Telecommunication.
Samuel has recently worked in business areas like Information Technology, Product Development, and Research and Development.
Samuel holds a Bachelor in Data Science & Artificial Intelligence from Maastricht University.
Samuel is immediately available part-time for suitable projects.
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Calculated based on our freelancers’ daily rates as of 6 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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