Krzysztof Wancerski
Krzysztof (Kris) WancerskiEngineering · Design · AI
Krzysztof Wancerski
KrzysztofWancerski

Engineering • Design • AI / London, UK

I turn ideas into real things.

I work across engineering, design and AI to take ambiguous problems from early ideas to working systems.

I enjoy problems where the path isn’t obvious yet. I hold a First-Class MEng in Design Engineering from Imperial College London.

Execution Range Across Disciplines
Design Engineering FoundationsImperial College

First-Class MEng (Dean's List all 4 years). Trained across engineering, design, software and physical product development, with a focus on turning human needs and technical constraints into working systems.

Smart-Home & Embedded SoftwareTewke Ltd.

Designed and shipped cross-platform mobile apps and touchscreen embedded device interfaces in Flutter/Dart, bridging hardware telemetry with real users.

Software for Manufacturing Operations1,000+ Devices

Built full-stack tracking, automated parts deduction, and camera-assisted quality control used in the active production workflow for 1,000+ devices.

AI Workflows & Time-SeriesISF Montreal 2026

Selected for an oral presentation at the 44th International Symposium on Forecasting for an AI application making statistical time-series forecasting accessible.

Selected Work & Systems

Each project starts with an ambiguous or complex problem and requires working across engineering, design, and AI to build something people can actually use.

Imperial Master's Project/Oral Presentation at ISF Montreal 2026

AskForecast

Making complex statistical forecasting accessible through an AI-driven, natural-language workflow.

Time-series forecasting is technically demanding and largely inaccessible to non-specialists. I designed and built AskForecast to turn plain-language questions and raw uploaded datasets into structured forecasting problems—interpreting the request, automatically selecting and running appropriate statistical forecasting models, and presenting forecasts with prediction intervals and explanations.

Automated Model Selection & Pipeline: Built an LLM workflow that interprets natural-language forecasting requests, structures the problem, automatically selects and executes statistical forecasting models, and calculates prediction intervals.
ISF Montreal 2026 Presentation: Selected for a 20-minute oral presentation at the 44th International Symposium on Forecasting, demonstrating how product design and AI interfaces can democratise technical forecasting workflows.
Launch askforecast.app
LLM WorkflowsTime-SeriesModel SelectionPythonFastAPIVue 3
AskForecast Web App Interface
Interactive Forecast Dashboard & Confidence Intervalsaskforecast.app
Yarn Health App Mockup
Voice Journal & Synthesisyarn.health
Digital Health Product/15 User Test Participants

Yarn Health

Turning everyday conversations and voice notes into structured summaries for chronic illness.

People living with long-term conditions often struggle to track and communicate symptoms between appointments. Rather than building a conventional tracking form, I developed a voice-first mobile journal that lets users speak naturally about their day, using AI to turn conversational voice notes into structured summaries that support more productive consultations.

Streaming Voice Transcription & Extraction: Implemented low-latency speech transcription with OpenAI Whisper alongside an extraction pipeline that organises longitudinal symptom trends without burdening the user.
Tested with 15 Participants: Completed user testing with 15 people managing long-term conditions to refine conversational speech latency and ensure summary clarity for medical consultations.
Visit yarn.health
FlutterDartVoice AIWhisperMobile UXHealth Data
Hardware-Connected SoftwareTewke Ltd.

Smart-Home Mobile Apps & Embedded Touchscreen Interfaces

Bridging physical smart-home hardware and daily user interaction.

At Tewke, I work across the boundary between software and physical products. I designed and shipped cross-platform mobile applications and on-device touchscreen interfaces, giving users direct, real-time control over their physical environment.

Unified Multi-Platform Architecture: Built a unified Flutter application running across iOS, Android, and embedded touchscreen hardware, coordinating local network telemetry with device state synchronization.
Shipped to Real Users: Owned interface features end-to-end—from initial interaction design through user testing to production deployment on commercial smart-home hardware.
FlutterDartiOS & AndroidEmbedded LinuxDevice Telemetry
Internal Operations & Tooling1,000+ Devices

Software for Manufacturing Operations

Full-stack operations software to scale physical hardware assembly.

Scaling physical hardware requires reliable operational systems. I built the full-stack internal platform that orchestrates assembly tracking, inventory deduction, and device provisioning across our manufacturing line.

Automated Inspection & Workflow Engine: Built custom camera-assisted quality checks at assembly checkpoints to catch build defects early, integrated with relational schema tracking component lifecycles.
Used in Production Workflow for 1,000+ Devices: Active core platform at Tewke Ltd., replacing previously manual tracking steps with automated inventory deduction and quality-control workflows.
TypeScriptVue.jsExpressPostgreSQLDrizzle ORMDocker

How I Work

I work from the problem outward rather than from a predefined discipline inward. AI expands my execution range, while engineering discipline and problem definition lead the way.

Ways of Working

Turning Ambiguity into Working Systems

I enjoy problems where the path isn’t obvious yet. The projects I find most interesting usually start with a vague question and require figuring out what needs to exist before building it.

Rather than starting with a narrow technology, I look at what the problem demands—whether that means software, AI models, physical hardware, or operational workflows. In my day-to-day development workflow, I actively use AI coding agents to accelerate implementation—directing and reviewing their output while retaining full responsibility for the architecture, engineering trade-offs, and final system.

Problem-Led Execution: Grounded in what actually needs to exist, moving quickly from early ambiguity to functional software and systems.
Production Discipline: Writing clear, maintainable code across TypeScript, Vue, Flutter, and Python that performs reliably in real-world use.
Core Tenets
1. Start with the problem

Don't choose the technology before understanding what needs to exist.

2. Build things people can actually use

A prototype is only the beginning; real-world behaviour and reliability matter.

3. Use AI to expand execution

AI makes it possible to explore, prototype, and operate across a broader range of problems.

AI & Intelligent Workflows

Building AI-driven applications and pipelines that interpret requests, structure messy data, and automate multi-step analytical workflows.

LLM WorkflowsVoice AI (Whisper)Time-Series ModelsVector Search

Full-Stack Web & Operations Systems

Engineering fast, reliable web applications and internal tooling in TypeScript, Vue 3, and Python, backed by clean PostgreSQL schemas and Docker environments.

TypeScriptVue 3Python / FastAPIPostgreSQLDocker

Mobile Apps & Hardware Integration

Developing cross-platform apps in Flutter & Dart alongside embedded touchscreen interfaces and local device telemetry.

FlutterDartiOS & AndroidEmbedded HardwareIoT Telemetry

Always up for a coffee.

If you're in London and thinking through an ambiguous challenge or an early-stage idea, let's grab a coffee. Also down for a virtual coffee if remote—let's have a chat.

Say Hello

Experience & Education

A track record of shipping software, hardware-connected systems, and academic distinction.

Apr 2025 – PresentLondon, UKFull-Time

Full-Stack Software Engineer

Tewke Ltd.

Technical ownership spanning internal manufacturing operations, full-stack web platforms, and cross-platform mobile & embedded features. Working across software and physical operations to take a commercial smart-home product from design to scale.

Used Across 1,000+ Production Devices: Built core operations software for multi-device assembly tracking, automated parts deduction, and camera quality control.
Smart-Home Mobile & Embedded UI: Shipped user-facing mobile features and touchscreen device interfaces in Flutter and Dart.
TypeScriptVue.jsFlutterDartExpressPostgreSQLDocker
2022 – 2026London, UKFirst-Class Honours

Master of Engineering (MEng), Design Engineering

Imperial College London

Graduated with First-Class Honours in Design Engineering from Imperial College London. Awarded the Faculty Dean's List for all 4 consecutive years, recognising students in the top 10% of the cohort. An engineering discipline fusing mechanical engineering, electronics, computer science, and user-centred design to turn complex technical innovations into viable real-world products.

Oct 2023 – Jun 2024London, UK

Undergraduate Teaching Assistant

Imperial College London

Facilitated computing and engineering modules for undergraduate cohorts, conducting hands-on code reviews, hardware debugging, and problem-solving workshops.

Nov 2022 – PresentWest London & Online

Academic STEM Tutor

View Tutoring Practice

Over 4 years delivering bespoke 1:1 tuition in Mathematics, Physics, and Computer Science for GCSE and A-level candidates targeting top grades (A and A*).

Academic Honours & Technical Stack

Imperial College London academic distinctions and technologies used across engineering and product engagements.

Imperial College London, Faculty of EngineeringTop 10% Cohort • All 4 Years

Dean’s List (All 4 Consecutive Years)

Awarded every single academic year of university at Imperial College London. The Dean’s List recognises undergraduate engineers in the top 10% of their cohort who achieved a continuous first-class standard (70%+) across all four years.

Institution of Engineering and TechnologyNational Engineering Scholarship

IET Future Talent Award

Prestigious national engineering scholarship and multi-year bursary supported by the David Family Foundation, awarded to exceptional engineering students recognised for outstanding academic promise, technical innovation, and future engineering leadership.

Distinction RecordIET Future Talent Scheme
Production Technical Capabilities
Languages
TypeScriptPythonDartJavaScriptVue.jsC++SQLBash
Frameworks & AI
Vue 3 / NuxtFlutter (BLoC)FastAPIExpressDrizzle ORMReact
Systems & Infrastructure
PostgreSQLDockerSupabaseLinux CLIGit & GitLabCI/CD
Get in Touch

Let's Have a Coffee

I’m always open to talking through ambiguous challenges, engineering systems, or early-stage product ideas. If you’re based in London, let’s grab a coffee. If not, drop me an email and we can take it from there.

Direct Email
krzysztofwancerski@gmail.com

Direct inbox for technical discussions, coffee chats, and academic tutoring enquiries.

Compose email
Professional Network & Location

Based in West London, UK. Open to in-person coffee chats across London and remote conversations worldwide.

London, UK (West London)