Traceability Experts in Berlin
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Meet FRATCH Experts in Berlin, who have recently used Traceability
Ankit Handa
Last position:
AI Evaluation Analyst at Turing
Driving AI model quality at scale — evaluating prompt-response accuracy, flagging edge cases, and maintaining SLA-compliant workflows across distributed global teams.
- Analyse AI prompts and side-by-side model outputs to assess response quality, factual accuracy, relevance, consistency, and compliance with project evaluation guidelines.
- Perform fact-checking, data validation, troubleshooting, issue identification, and edge-case review to improve quality standards across AI training support workflows.
- Use Google Sheets, Google Docs, and browser-based tools to document findings, maintain evaluation logs, track issue patterns, and support workflow optimisation in a remote environment.
- Create clear written justifications, review summaries, and KPI-oriented reporting focused on accuracy, turnaround time, documentation completeness, defect identification rate, and SLA adherence.
Aruldass Arulanandu
Last position:
Web Module Lead at Mphasis Limited
- Led the end-to-end delivery of enterprise full-stack web applications by driving requirement analysis, solution design, frontend and backend development, database design, API integration, code reviews, team coordination, Agile execution, CI/CD deployments, production support, performance optimization, security implementation, and stakeholder collaboration to deliver scalable, high-quality software solutions.
Sunish Bharathan
Last position:
AtlasMind - Production AI assistant for Jira at Mercedes Benz Innovation Labs Gmbh
- Converts natural language into JQL using RAG and pgvector. Returns structured JSON with a query, chart spec, and plain-text answer. A two-stage router answers general questions without touching the JQL pipeline at all.
- Interchangeable LLM backends: Ollama, vLLM, Groq, Anthropic Claude, AWS Bedrock - switchable at runtime, no code changes. Self-healing JQL: on Jira validation failure, feeds error back to LLM, retries up to 4 times. OCI Vault for secrets. Deployed on Oracle Cloud A1 with GPU inference over Tailscale private network. Open source.
Tobias Lewen
Last position:
Data Engineer at unitb consulting GmbH
Tasks: Design and operation of end-to-end cloud data platforms for enterprise clients in publishing and finance, including infrastructure automation, pipeline development, monitoring, and data quality.
Activities:
- Built multi-layer data architectures on Databricks (Apache Spark, Delta Lake), BigQuery, and GCP
- Fully automated cloud infrastructure with Terraform across 3 environments (DEV/STG/PRD)
- Developed automated data pipelines with Python, dbt, and GCP services for different data sources
- Built monitoring and alerting systems for real-time platform monitoring
- Implemented data versioning and quality checks at every layer
- Designed automated test and deployment pipelines in GitLab and Bitbucket
Achievements:
- 2× production data processing capacity, reduced spike response time from minutes to ≤15 s, server errors ≈ 0
- Replaced 3,000 lines of manual configuration with a reusable automation module for 7 customer domains, configuration errors to 0
- Delivered a complete end-to-end data platform at ~€10/month infrastructure cost
- Migrated 7 database tables with 0 downstream issues
- Removed 100% exposed credentials, eliminated external vendor dependency
- Delivered integration of 3 teams in 1 sprint
Martin Puskajler
Last position:
Product Owner at Freelance
- Objective: Create a machine-readable dataset for aid applications that aligns with the new specialized procedure
- Rollout of the solution to first user groups
- Established a user feedback loop
- Released versions 1.0 and 1.1 based on first user feedback and improvements
Unnikuttan Velamkudy Vijayan
Last position:
Managing Director (Co-Founder) at AathmaSignals
- Spearheading investor outreach and partnership development as founding MD, building the business case and technical narrative needed to attract initial funding and strategic collaborators in the digital health space
- Designing multi-agent AI systems for autonomous biosignal analysis, orchestrating LLM-based reasoning pipelines with domain-specific medical context to enable intelligent, clinical decision support
Jana Bettzüge
Last position:
Senior Business Analyst at Eurofiber Netz GmbH
- Responsible for cross-department requirements management in collaboration with business units, IT, and external vendors
- Gathering, structuring, consolidating, and prioritizing business requirements from various company departments
- Modeling and documenting business processes using BPMN as a basis for transparency and further development of existing solutions
- Analyzing existing business processes and identifying optimization opportunities
- Refining business requirements with regard to feasibility, cost-effectiveness, and impact on adjacent processes
- Facilitating business alignment sessions with relevant stakeholders to refine requirements and support decision-making
- Creating actionable business concepts for IT development
- Supporting implementation, testing, and rollout of new or adjusted solutions
- Assisting in standardizing requirements and processes to build a reliable decision-making foundation
Kenan Šabić
Last position:
Enterprise Architecture at Swiss Krono
- Established the Enterprise Architecture department. Prepared the convergence of IT/OT.
- Mapped the global business application landscape (6 countries).
- Designed a graph model of the application landscape. Stored the results in the open-source graph database Neo4j. Created various reports in the database query language CYPHER and using the visualization component Bloom. Automated generation of IT architecture diagrams.
- Developed an application taxonomy to identify redundant applications.
- Applied Gartner's Software Portfolio Management TIME model (Tolerate, Invest, Migrate, and Eliminate) for portfolio management.
- Enterprise Architecture governance: established architecture guidelines to document measures and decisions.
- Process modeling according to Porter (Value Chain).
- Various architecture approvals of initiative requests and documentation in Architecture Decision Records (ADR).
- Contributed to a RACI matrix for various processes.
- Worked on business capabilities in preparation for a LeanIX rollout.
- Participated in designing IT/OT convergence.
- Established architecture guidelines in a pragmatic company culture. Knowledge about applications and responsibilities was scattered globally.
Jad Nohra
Last position:
Software Developer at Side Project
- Vram.run: Rust, TypeScript, HF Inference API with 19 providers, 220+ HW configs, and 30+ cloud GPUs. Search a model to see which API providers serve it, which GPUs can run it locally (and how fast), and what cloud rental would cost. Or search your hardware and see what fits. Also includes a Rust CLI.
- Psychotron: JavaScript, Web Audio API, AudioWorklet, Canvas 2D. Front-end for flash fiction audiobook with Web Audio DSP chain featuring pitch-shifting, 12-voice chorus, flanger, 13-band EQ, and convolver reverb. Includes a 2D canvas effect morphing engine and synchronized teleprompter.
- RecentWork: Swift, macOS, FSEvents, launchd. macOS daemon that watches project directories and maintains a flat folder of symlinks to recently modified files. Homebrew installable.
- Mini-llm: Bash, macOS, launchd, Ollama, llama.cpp, MLX, Open WebUI. Single command that turns a Mac Mini into a headless AI server.
- ThatSlop: JavaScript. Chrome/Firefox extension for AI content detection on LinkedIn and Twitter.
- Smux: Bash, tmux. Human-friendly tmux wrapper that is Homebrew installable.
- Learn Rust Course: Rust. Course on Rust’s memory model for C++ programmers, written from experience of transitioning from C++ to Rust at Irreducible.
Arianna Paglia
Last position:
Nonlinear and Complex Systems Analyst (Scholarship) at National Technological University
- Analyzed multi-source datasets using information-theory metrics such as permutation entropy, informational complexity, and decision-support models.
- Developed algorithms and data visualizations in MATLAB and Python.
- Conducted research and co-authored multiple peer-reviewed scientific publications based on the findings.
- Electrical project design and execution
- Digitalization and smart systems integration
- Supplier and contractor coordination
- Risk and quality management
- Strategic decision making
- Financial and ROI perspective
- Analytical and systemic thinking
- Data-driven decision support
- Problem solving and critical thinking
- Cross-functional team leadership
- Influential leadership
Anuja Chandran
Last position:
Embedded Software Engineer at Digital Core Technology
- Designed and implemented embedded firmware in C/C++ for ARM-based microcontrollers and SoCs (STM32, NXP, Infineon)
- Worked across bare-metal, FreeRTOS, and Embedded Linux environments, contributing to BSP-level functionality, driver bring-up, and system integration
- Built, configured, and validated Embedded Linux systems using Yocto, including image build, boot validation, and runtime debugging
- Developed and executed unit, integration, and system-level tests, including HIL and SIL test scenarios on real hardware and simulated environments
- Created Python and Bash scripts to automate build, test execution, simulation runs, and reporting within CI/CD pipelines (Jenkins, GitLab CI)
- Designed test cases from software and system-level requirements, covering normal operation, edge cases, and failure scenarios
- Performed low-level debugging using JTAG/GDB, analyzing boot issues, timing problems, interrupts, and peripheral behavior
- Developed and validated communication interfaces including UART, SPI, I2C, CAN using logs and external measurement tools
- Used simulation and virtual test environments to validate software behavior prior to hardware availability
- Read and interpreted hardware schematics to understand signal routing, pin multiplexing, and peripheral connections
- Supported PCB design and review activities using Altium tool, assisting with component selection, pin mapping, and bring-up readiness
- Collaborated with cross-functional hardware, firmware, and system teams to clarify requirements, document assumptions, and improve overall test coverage
- Developed web interfaces using HTML, CSS, and JavaScript (ES6) and basic REST API development with Node.js
- Experience testing web applications and building UI automation frameworks using Selenium WebDriver
Max Degterev
Last position:
Tech Lead, Interim CTO/CPO at MatchDispatch
I worked on automating cold outreach.
- Developed a queue architecture to support the parallel execution of large volumes of background tasks.
- Integrated multiple email delivery providers.
- Implemented an LLM-based data enrichment process.
Technologies: TypeScript, React, Node.js, Next.js, Drizzle ORM, PostgreSQL, Next-Auth, JWT, Docker, Kubernetes, AWS, CloudFlare, Traefik, Groq, Jest, Figma
Benjamin Quecke
Last position:
Transformation Advisor and Overall Program Manager at Vereinigte Hagelversicherung VVaG
- Transformation management for the renewal of core insurance systems
- Overall management of the transformation program with 10 projects and many subprojects
- Advising the management board
- Designing the new insurance processes
- Ensuring compliance with DORA, GDPR and BaFin
- Program management (multi-project management) based on PMI principles
- Continuous coordination with all service providers and internal stakeholders
- Reporting to all stakeholders
- Preparing and running steering committees
- Detailed task and resource planning
- Tracking effort and budget as well as forecasting
- Decision and escalation management
- Managing the different program phases such as solution design phase, agile implementation phase, test phase, training phase and migration phase
- Building 15 cloud environments in redundant data centers
- Preparing iterative rollouts to European countries
Discover over 15,000 top freelancers
Statistics of experts using Traceability
Aggregated from the professional profiles of matched freelancers.
Experience
17 years (Germany: 18 years)
Position duration
1.8 years (Germany: 2 years)
Positions per freelancer
10 (Germany: 11)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Automotive, Professional Services
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100% (Germany: 92%)
Master's degree or higher
60% (Germany: 61%)
Certifications per freelancer
3 (Germany: 4)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 99%)
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Berlin are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Berlin using Traceability
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What traceability covers Traceability is the ability to follow materials, parts, and finished goods through every step of a process. It links incoming goods, production events, warehouse movements, quality checks, and customer shipments into one audit trail. In practice, it supports recall readiness, proof of origin, and faster root-cause analysis.
Typical use cases
- Batch and lot tracking across production and logistics
- Serial number trace for regulated products and spare parts
- Genealogy records for components, subassemblies, and final goods
- Recall workflows, non-conformance handling, and complaint follow-up
- Compliance reporting for food, pharma, industrial, and electronics flows
Tools and systems Traceability work often touches ERP, MES, WMS, PLM, and quality systems. Specialists also connect barcode scanning, RFID, label printing, event logs, and API-based integrations so each handoff is captured cleanly. Strong solutions keep data consistent across suppliers, factories, and warehouses.
When companies bring in specialists Companies look for freelance experts when they need a new traceability process, a system rollout, or a fix for gaps between teams and tools. This often happens in Berlin when manufacturers, logistics firms, food businesses, and medtech companies need clearer product history across remote and on-site operations. A good specialist can map the flow and close the data gaps without slowing daily work.
What strong experts do Strong traceability professionals think in events, identifiers, and exception handling. They define what must be tracked, where the source data comes from, and how records stay searchable when products move across sites or systems.
- Clear rules for lots, batches, serials, and parent-child links
- Practical integration with scanners, labels, and business systems
- Clean audit trails that support quality and compliance teams
- Simple processes that operators can follow under real shop-floor pressure
How projects stay workable The best traceability work starts with the business question, not the tool. Experts compare current workflows, define the minimum data set, and decide where automation is worth the effort. In Berlin, mixed-language teams and distributed suppliers often make clear documentation and careful handoffs especially important.
Frequently asked questions
What clients ask us most about Traceability — answered in short.
Traceability means you can follow an item, ingredient, or component from origin to final delivery. It records where it came from, what happened to it, and where it went next. That makes it easier to investigate defects, manage recalls, and prove compliance.
Traceability and track and trace are closely related, but they are not always used the same way. Track and trace often focuses on movement and status, while traceability also includes full genealogy and process history. Many teams use both ideas in the same project.
A traceability setup often connects ERP, MES, WMS, PLM, and quality tools. It may also use barcode scanners, RFID readers, printers, and API integrations. The exact mix depends on whether the flow is production-heavy, warehouse-heavy, or focused on regulatory records.
A strong traceability expert understands business process design, data modeling, and system integration. They should be able to map identifiers, event points, and exception handling across your flow. If the project touches compliance, they should also know how audit trails are reviewed.
A traceability project often needs someone who has already worked on messy real-world data, not just theory. The right depth depends on whether you need a small process improvement or a multi-system rollout across sites. For regulated operations, proven experience with audits and controlled records matters a lot.
Yes, many traceability tasks can be handled remotely, especially process mapping, system design, and integration planning. On-site time helps when the work depends on shop-floor scanning, warehouse routines, or quality checks. In Berlin, many teams use a mix of remote workshops and short site visits.
Look for a traceability specialist who asks clear questions about data sources, handoffs, and exception cases. Good signs are clean documentation, practical system choices, and a focus on how operators actually work. Strong experts also explain how they would test the flow before go-live.
A traceability project often needs ERP or MES integration, data mapping, quality management, and sometimes compliance knowledge. Supplier coordination and process analysis are also important when the flow crosses company boundaries. The best freelancers can talk to both business users and technical teams.
The average hourly rate of freelancers in Berlin, Germany who have used Traceability in their recent projects is 94 €, which corresponds to a daily rate of about 751 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Traceability in their recent projects, 100% hold at least a Bachelor's degree and 60% hold at least a Master's degree.
On average, freelancers in Berlin, Germany who have used Traceability in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Berlin, Germany who have used Traceability in their recent projects are German (100%), English (100%), and French (15%).
The most common industries among freelancers in Berlin, Germany who have used Traceability in their recent projects are Information Technology (92%), Automotive (54%), and Professional Services (46%).
The most common business areas among freelancers in Berlin, Germany who have used Traceability in their recent projects are Information Technology (85%), Product Development (85%), and Quality Assurance (77%).
Main locations of FRATCH Experts, who have recently used Traceability
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
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