about
crafting clarity in a world of noise

|

@shunyaek.se, we're a small but mighty software and technology consulting agency, dedicated to transforming the digital landscape with precision and flair.

we take the fundamental elements of technology — zeros and ones — and craft them into exceptional products and platforms that stand out in today's market.

approach
first principles, lasting outcomes

we don't just build software — we engineer outcomes

every engagement begins with a deep curiosity to understand your problem space from the ground up.

discovery mindsetwe listen first, diagnose second, prescribe third

systems-level reasoningwe think beyond immediate requirements

outcomes over outputswe optimize for business impact

deep partnership

we embed ourselves into your workflow, not as vendors but as invested partners. your constraints become our constraints. your wins become our wins.

pragmatic excellence

our decisions balance engineering ideals with business realities. we ship what works, not what's theoretically perfect.

long-term thinking

we design for evolution, not just delivery. code that adapts, systems that scale, decisions that age well.

partners who believed in our vision

Oracle logo
PayPal logo
PepsiCo logo
Boston Consulting Group logo
Cerner logo
Humanata logo
Oracle logo
PayPal logo
PepsiCo logo
Boston Consulting Group logo
Cerner logo
Humanata logo
Pegasus logo
Magnit logo
TGS logo
CO2AI logo
Aliveo logo
Pegasus logo
Magnit logo
TGS logo
CO2AI logo
Aliveo logo
methodology
a structured path, built to adapt

deliberate and dynamic methodology

we balance engineering precision with business pragmatism, ensuring every decision is rooted in clarity, purpose, and outcomes.

1

discovery

absorb context, identify challenges, define success together

stakeholder interviews
technical archaeology
constraint mapping
2

blueprint

detailed, unambiguous foundations for focused development

architecture design
technology selection
implementation roadmap
3

build

iterative releases, constant feedback, continuous alignment

agile development
regular demos
collaborative refinement
4

support

post-launch refinement and technical clarity

performance monitoring
knowledge transfer
ongoing optimization
edge
where engineering meets intention

engineers who understand business

we are neither a code factory nor a bloated consultancy. we are engineers who understand business — and consultants who can ship code.

no corporate theatricsdirect access to people who write code

technical decisions aligned to business goalsnot engineering for engineering's sake

speed meets stabilityfast iterations without cutting corners

intentionally small

every project gets senior-level attention. every call has someone who's shipped things at scale. every decision is made with clarity and care.

platform-agnostic but opinionated

we don't chase trends or push pre-built playbooks. we design for your business, your scale, and your goals.

the nuance advantage

ability to zoom into low-level technical detail while keeping the high-level business goal in sight.

operate with integrity

we'll tell you what you need to hear, not just what you want to. if we're not the right fit, we'll say so.

our mindset

we don't hide behind buzzwords or inflated slideshows. what you see is what you get — direct access to experienced engineers and consultants who take pride in their craft. we care about long-term sustainability, not short-term theatrics.

services
engineering across the stack, designed for scale

full-spectrum technology services

from code to cloud — engineered with precision, delivered with purpose. we work as your technical co-founder, embedded engineering team, or trusted consulting partner.

full-stack development

end-to-end product development, from frontend to backend, databases to deployment

web applications
mobile apps
api development
database design
cloud infrastructure

technical consulting

strategic guidance on architecture, technology choices, and engineering processes

system architecture
technology selection
code reviews
performance optimization
scaling strategies

product strategy

bridge the gap between business vision and technical execution

requirements analysis
roadmap planning
mvp definition
user experience design
market validation

team augmentation

embed with your existing team to accelerate delivery and knowledge transfer

senior engineering
mentoring
best practices
process improvement
knowledge transfer

legacy modernization

breathe new life into existing systems without disrupting business operations

system migration
refactoring
modernization
integration
risk mitigation

devops & infrastructure

streamline deployment processes and optimize infrastructure for scale and reliability

ci/cd pipelines
cloud migration
monitoring
security
automation
focus
depth over domain, intent over industry

we work with organizations who value craftsmanship

regardless of industry or size, we're drawn to teams that share our commitment to thoughtful engineering and sustainable growth.

industries we serve

fast-growing startupsenterprise teamsnon-profitsfintech & paymentsdigital healthinternal toolsdeveloper platformsapi ecosystemsdata-heavy backendslogisticsedtechopen-source devtoolsconsumer products

teams that resonate with us

ambitious but pragmatic
big vision, grounded execution
growth-oriented
scaling thoughtfully
believers in software as craft
more than just delivery tickets

complex challenges that demand

1
thoughtful engineering
2
systems thinking
3
sustainable delivery
work
stories of impact, told through systems

case studies that speak volumes

real problems, thoughtful solutions, measurable impact. here's how we've helped our partners build meaningful technology that drives their business forward.

Private-Cloud Automation for a Flagship EHR Platform

Private-Cloud Automation for a Flagship EHR Platform

Healthcare IT · Electronic Health Records

Modernised a mission-critical private cloud running a leading EHR: replaced ticket-driven change management with a Django-React CI/CD portal, automated server hardening via policy-as-code, and implemented an Elastic–New Relic observability mesh. Outcome: release lead-time ↓ 88 % and mean-time-to-knowledge ↓ 73 %, all while preserving 24 × 7 clinical uptime.

Challenge

Legacy, ticket-based workflows delayed clinical feature roll-outs and security patches. Fragmented monitoring obscured root causes, and new HL7/FHIR mandates plus stricter security baselines required faster, fully auditable delivery across hundreds of clusters—without jeopardising always-on patient care.

Primary Goal

Shrink infrastructure change-management lead-time by ≥ 80 % while maintaining uninterrupted clinical service.

Key Impact

Change cycle time (hrs): 33642(-88 %)

Mean-time-to-knowledge: 45 min12 min(-73 %)

Technologies

PythonDjangoJavaScriptTypeScriptReactJSBashAnsibleTerraformJenkinsNew RelicPrometheusGrafanaDockerApache MesosVMware vSphereOpenStackBMC RemedyHL7FHIRSOAPREST

Timeline & Engagement

Dec 2019 – Sep 2021 (22 mos)

Systems & DevOps Engineering · Infrastructure Automation · Observability

Enterprise Sustainability Action Platform

Enterprise Sustainability Action Platform

Decarbonization & Sustainability Intelligence

This sustainability action platform delivers audit-ready corporate and product carbon footprints, harnesses AI-powered emission-factor matching to boost data quality and speed by 90 %, runs real-time what-if simulations, and securely exchanges primary supplier data through a CDP-backed ecosystem.

Challenge

Global manufacturers relied on labour-intensive spreadsheets that took weeks to assemble life-cycle data, lacked integrated what-if simulation and supplier-data exchange, and still failed to satisfy emerging CSRD and CDP disclosure rules.

Primary Goal

Generate verifiable Scope 1-3 emissions footprints 10× faster than legacy processes while laying the foundation for proactive decarbonisation road-mapping.

Key Impact

PCF batch lead-time (days): 212(-90 %)

API p95 latency (ms): 820190(-77 %)

Technologies

PythonFastAPIPostgreSQLMongoDBRedisJavaScriptTypeScriptReactJSMaterial UITanStack TableReChartsKeyCloakAWS

Timeline & Engagement

Jan 2022 – Jun 2022 (6 mos)

Full-stack Engineering · AI Integration · Secure Auth

FinOps Cost Governance for Cloud Resources

FinOps Cost Governance for Cloud Resources

Cloud Resource Management & Cost Governance

Led the front-end rebuild of a global payments provider's internal cloud-budgeting portal: delivered a Fluent-UI design-system, XState-driven request wizard, and real-time cost dashboards—cutting ticket cycles from 7 days to 32 hours and achieving 99/100 Lighthouse accessibility.

Challenge

Siloed spreadsheets and ticket queues slowed cloud requests and obscured spend. A responsive, accessible web app with live cost validation was required, built to the client's industry-leading design standards and shipped within a year.

Primary Goal

Reduce infra request-to-approval time by at least 75 % through a self-service portal.

Key Impact

Request-to-approval cycle (hrs): 16832(-81 %)

Design-system adoption (apps): 06(+6)

Technologies

JavaScriptTypeScriptReactJSViteJSFluent UIXStateImmerJSReact QueryJestReact-Testing-LibraryStorybookJS

Timeline & Engagement

Nov 2023 – Nov 2024 (12 mos)

Front-end Architecture · Design-System Leadership · Developer Enablement

AI-Driven Revenue Management for a Low-Cost Carrier

AI-Driven Revenue Management for a Low-Cost Carrier

Airline Revenue Management & Pricing

Built an end-to-end AI revenue-management platform that forecasts demand, recommends optimal fares, and logs every override for IATA compliance—boosting revenue per seat by 6 % while cutting analyst cycle time by 94 %.

Challenge

Revenue analysts relied on daily spreadsheets and manual fare tweaks, leading to slow reactions and revenue leakage. The airline needed a secure, auditable system that provided near-real-time demand forecasts and pricing recommendations without disrupting existing reservation flows.

Primary Goal

Increase flight revenue per seat by at least 5 % while reducing manual turnaround time for fare updates.

Key Impact

Revenue per seat (selected routes): baseline+6.4 %(+6.4 %)

Forecast MAPE: 15 %7.8 %(-48 %)

Technologies

PythonFastAPIJavaScriptTypeScriptReactJSNextJSMaterial UIPostgreSQLRedisDockerKubernetesAWS

Timeline & Engagement

Jul 2022 – Jan 2023 (6 mos)

Full-stack ML Engineering · Data Warehousing · Analyst UX

Unified Data & Platform Modernization for Non-Profits

Unified Data & Platform Modernization for Non-Profits

Social-Impact Data Consulting & Analytics

Delivered a unified, auditable data platform that refreshes key dashboards in under 30 minutes, boosts reconciliation accuracy to 99.7 %, and slashes ad-hoc script maintenance by 85 %.

Challenge

Legacy scripts and SSIS jobs ingested disparate CRM and government feeds via SOAP, leading to 24-hour reporting lags and audit pain. The organisation needed a modern, low-latency pipeline with governed BI layers.

Primary Goal

Cut reporting latency from next-day to near-real-time while improving data quality and developer productivity.

Key Impact

ETL latency (min): 144026(-98 %)

Reconciliation accuracy (%): 96.899.7(+2.9 pp)

Technologies

PythonFastAPICeleryDockerWindows ServerMicroSoft AzureAzure Data FactoryMicrosoft Power BIMicrosoft SQL ServerPostgreSQLTableauBashJupyter NotebooksWSLXMLWSDLSOAPREST

Timeline & Engagement

Feb 2023 – Oct 2023 (9 mos)

Data Engineering · ETL Automation · BI Enablement

AI-Powered Marketing & Promotion for a Global Beverages Brand

AI-Powered Marketing & Promotion for a Global Beverages Brand

FMCG Marketing & Trade Promotion

Delivered a micro-API–driven AI platform that forecasts promotion uplift, recommends optimal discount windows, and visualises campaigns on a smart calendar—raising promo yield by 7 % and slashing planning cycle time from three weeks to three days.

Challenge

Marketing teams juggled siloed POS and spend spreadsheets, causing late reactions and sub-optimal discounts. They needed a single, secure application that ingested multi-source data hourly, predicted demand uplift, and presented recommendations in an intuitive calendar UI.

Primary Goal

Boost average promotion yield by at least 6 % while reducing manual planning lead-time.

Key Impact

Promotion yield (selected SKUs): baseline+7.2 %(+7.2 %)

Forecast MAPE: 18 %9.6 %(-47 %)

Technologies

PythonFastAPIPostgreSQLRedisAirflowDockerKubernetesAWSJavaScriptTypeScriptReactJSNextJSTailwind CSSRadix UIReCharts

Timeline & Engagement

Oct 2021 – Dec 2021 (3 mos)

ML Engineering · Micro-API Pipelines · Calendar-Driven UX

Data & Technology Consulting Enablement

Data & Technology Consulting Enablement

Technology · Software · Data Consulting

Delivered a reusable technology and data-platform toolkit that cuts time-to-first-insight from 30 to 10 days, re-uses >80 % of code across consulting engagements, and passes security review on the first attempt.

Challenge

Consulting teams lost weeks rebuilding basic pipelines and struggled to maintain consistent security compliance across diverse client environments. A standardised, drop-in solution was required to accelerate delivery and enforce best practices.

Primary Goal

Provide production-ready tech and data foundations 3× faster while meeting stringent security benchmarks.

Key Impact

Time-to-first-insight (days): 3010(-67 %)

Module reuse (%): 4085(+45 pp)

Technologies

PythonFastAPIAirflowDockerKubernetesSnowflakeTerraformBashJavaScriptTypeScriptReactJSTableauAWSMicroSoft AzureMicrosoft SQL Server

Timeline & Engagement

Oct 2021 – Jan 2023 (16 mos)

Platform Engineering · Data Accelerators · AI Enablement

AI-Copilot for Marketing Teams

AI-Copilot for Marketing Teams

Marketing Analytics & Workflow Automation

Delivered an AI-powered data copilot that automates reporting and optimisation workflows in under 10 minutes, unifies ad & web data via secure integrations, and surfaces GPT-based insights—cutting analyst effort by 80 % and achieving sub-second dashboard queries.

Challenge

Marketing teams juggled siloed ad, web, and CRM data, spending hours on manual reports and slow campaign tweaks. A single copilot was needed to ingest multi-source data, answer natural-language questions, and automate optimisation workflows without compromising security.

Primary Goal

Automate critical marketing workflows and cut weekly analyst effort by ≥ 75 %.

Key Impact

Weekly reporting effort (hrs): 51(-80 %)

Workflow setup time: 3–4 days10 min(-99 %)

Technologies

PythonFastAPICeleryPostgreSQLRedisDockerKubernetesAWSJavaScriptTypeScriptReactJSNextJSTailwind CSSRadix UIOpenAI EmbeddingsMeta MarketingGoogle MarketingHubSpot

Timeline & Engagement

May 2023 – Dec 2023 (8 mos)

Full-stack Product Engineering · AI Micro-services · Integrations

Cloud-Native Social Fundraising Network

Cloud-Native Social Fundraising Network

Digital Fundraising & Volunteer Engagement

Delivered a full-stack social-impact platform: first an accessible React MVP, then a form-to-pod micro-service factory on Kubernetes that spins up new services in under 15 minutes and sustains 99.9 % uptime under 3× load.

Challenge

The startup needed to launch quickly yet scale features without a large platform team. Manual micro-service scaffolding slowed iteration and risked config drift across environments.

Primary Goal

Launch MVP fast and enable near-instant micro-service creation to keep pace with new social-good initiatives.

Key Impact

Feature releases per week: 4.3(N/A)

Service spin-up time (min): 144014(-99 %)

Technologies

JavaScriptTypeScriptReactJSNextJSTailwind CSSZustandXStateReact QueryPythonFastAPIDockerKubernetesAzure Kubernetes Service (AKS)TerraformPulumiMicroSoft AzureAzure Key VaultAzure PostgreSQLAzure FabricAzure FunctionsKong GatewaySpotify BackstageGitHub Actions

Timeline & Engagement

Nov 2023 – May 2025 (18 mos)

Front-End MVP · Cloud-Native Automation · Micro-Service Factory

Cloud-Native SOC-as-a-Service Platform

Cloud-Native SOC-as-a-Service Platform

Cyber-Security Monitoring & Incident Response

Delivered a multi-tenant SOC-as-a-Service platform that ingests logs in real time, surfaces AI-scored threats on web & mobile, and onboards new customers in under 15 minutes.

Challenge

Manual MSSP workflows delayed onboarding and incident response. A cloud-native portal was needed to automate provisioning, alerting, and compliance reporting without inflating ops head-count.

Primary Goal

Ship MVP in <6 months and achieve sub-minute alert latency.

Key Impact

Onboarding time (min): 288014(-99 %)

Alert latency (sec): 18048(-73 %)

Technologies

JavaScriptTypeScriptReactJSNextJSMantineEmotionJSReact NativeExpoPythonStarlettePostgreSQLAuthJSDockerKubernetesGitHub ActionsVirusTotalShodanKibanaElasticSearchScaPy

Timeline & Engagement

Mar 2023 – Feb 2024 (12 mos)

Full-Stack SaaS Build · Web & Mobile · Cloud Native

pricing
simple & transparent

choose the right plan for your business

flexible pricing options from shunyaek.se designed to scale with your business needs. no hidden fees or long-term commitments.

bit
$3,999/month
get an mvp moving
solo founders & seed-stage startups
  • 160 hours of access to our consultants (engineering & design)
  • pre-defined engineering scope (full-stack, back-end, front-end, infrastructure, design, etc.)
  • weekly demos, feedback loops, and day-to-day responsive communication
  • documentation hand-off on completion
  • agile engineering practices
Most Popular
byte
$6,999/month
accelerate & harden
funded scale-ups with live users
  • 320 hours of access to our consultants (engineering, design, & management)
  • pre-defined engineering scope (full-stack, back-end, front-end, infrastructure, design, etc.)
  • weekly demos, feedback loops, and day-to-day responsive communication
  • documentation hand-off on completion
  • agile engineering practices
  • end-to-end ui/ux, motion, and product design
  • atomic design practices
block
$13,999/month
ship & scale with confidence
mid-market / enterprise teams
  • 640 hours of access to a team of our consultants (engineering, design, management, & product)
  • pre-defined engineering scope (full-stack, back-end, front-end, infrastructure, design, etc.)
  • weekly demos, feedback loops, and day-to-day responsive communication
  • documentation hand-off on completion
  • agile engineering practices
  • on-call engineering support
bespoke
custom
your vision, our canvas
complex or regulated orgs
  • build-your-own-team of consultants
  • we become your product engineering team
  • pre-defined engineering scope (full-stack, back-end, front-end, infrastructure, design, etc.)
  • weekly demos, feedback loops, and day-to-day responsive communication
  • documentation hand-off on completion
  • agile engineering practices
  • on-call engineering support

need a custom solution?

connect with our team at shunyaek.se to discuss your specific requirements and get a tailored solution for your business.

schedule a call
connect
no pitch. just conversation

let's build something meaningful, together

we don't do hard sells. we don't do bloated decks. and we definitely don't do copy-paste proposals. what we do is listen — really listen.

early-stage founder looking for a product-minded engineering partner
platform team dealing with growing infrastructure complexity
business leader trying to untangle technical debt

we keep things simple:

one honest conversation to see if we're a good fit. no buzzwords, no smoke, no mirrors. just a clear-headed chat about your goals, challenges, and how we might help.

we typically respond within 24 hours

start the conversation
tell us about your project and we'll get back to you with thoughtful questions, not a sales pitch.

We respect your privacy. Your information will only be used to respond to your inquiry and, if you opt in, to send occasional updates. We never share your data with third parties.