Engineering Services

Practical Engineering. Delivered With Care.

We help businesses build new backend systems, fix slow or fragile applications, streamline data pipelines, and apply AI where it provides tangible, measurable value.

FEATURED ENTRY-LEVEL SERVICE • BOUNDED TIME & SCOPE

Application Performance Review

Is your application slower than it should be? We investigate a defined .NET application or SQL Server workload, identify performance bottlenecks, and recommend or implement targeted improvements.

1. Understand the Problem

Initial discovery call to review symptoms, system architecture, and target metrics.

2. Review Agreed Workload

Deep telemetry, code review, execution plan capture, and query profiling under NDA.

3. Identify & Prioritize

Isolate memory leaks, N+1 queries, locking issues, and missing indexing by impact.

4. Deliver Findings

Actionable technical report with code diffs, query rewrites, or direct PR implementation.

Request a Performance Review Scope, timeline, and fixed price agreed before work begins.
01 • Software Engineering

.NET & Web API Development

We architect, build, and maintain production-grade backend systems using modern Microsoft .NET (C#, ASP.NET Core). Built with Clean Architecture principles for testability, scalability, and long-term maintainability.

PROBLEMS WE ADDRESS:

Spaghetti codebases where new features break existing workflows; unmaintainable monoliths; lack of API contracts; slow and unreliable backend services.

WHAT WE DELIVER:

Fully typed C# ASP.NET Core Web APIs; modular Clean Architecture; comprehensive unit/integration test suites; documented Swagger/OpenAPI specifications; CI/CD deployment pipelines.

EXAMPLE USE CASES:

Multi-tenant B2B SaaS backends; custom internal portals; secure payment & billing gateways; high-throughput order processing microservices.

C# 12 .NET 8/9 ASP.NET Core MediatR Entity Framework Core Dapper Docker
Discuss .NET Project →
Clean Architecture Pattern (.NET Core) Decoupled Layers
1. Web API / Presentation Layer

Controllers, Minimal APIs, Middleware, FluentValidation, Rate Limiting & JWT Auth.

2. Application Layer (CQRS with MediatR)

Commands, Queries, Domain Event Handlers, Business Rules & DTO Mappings.

3. Domain Layer

Pure C# Entities, Value Objects, Domain Exceptions — zero external dependencies.

4. Infrastructure Layer

SQL Server persistence (EF Core + Dapper), Redis Caching, External HTTP Clients.

02 • Database Engineering

SQL Server Performance Optimization

High database CPU usage, slow queries, and locking issues drag down your entire software stack. We analyze execution plans, restructure indexes, and refactor queries to restore fast, reliable throughput.

PROBLEMS WE ADDRESS:

Queries taking seconds instead of milliseconds; deadlocks freezing transactional workloads; unmanaged index fragmentation; parameter sniffing bugs.

WHAT WE DELIVER:

Targeted query refactoring; optimal non-clustered, composite, and filtered indexes; query store telemetry review; tempdb and memory allocation tuning; verified before-and-after benchmarks.

EXAMPLE USE CASES:

Heavy ERP / CRM reporting databases; high-traffic e-commerce transactional workloads; SaaS multi-tenant database clusters.

SQL Server 2016-2022 Azure SQL T-SQL Execution Plans Query Store Extended Events
Discuss SQL Optimization →
sql-benchmark-comparison.sql
/* BEFORE: Correlated subquery causing table scan */
SELECT o.Id, o.Total, (SELECT COUNT(*) FROM Items i WHERE i.OrderId = o.Id) ...
-- Scan Count: 48,200 | Logical Reads: 1,842,000 | CPU: 7,420ms | Duration: 8,140ms
/* AFTER: Refactored with Window Function & Covering Index */
CREATE NONCLUSTERED INDEX IX_Items_OrderId_Inc ON Items(OrderId) INCLUDE (Price, Status);
WITH OrderCounts AS ( SELECT OrderId, COUNT(*) AS ItemCount FROM Items GROUP BY OrderId ) ...
-- Scan Count: 1 | Logical Reads: 4,120 | CPU: 82ms | Duration: 94ms
>> Result: 98.8% reduction in execution time & eliminated blocking locks.
03 • Modernization

Application Modernization & Maintenance

Legacy software often carries critical business logic that cannot simply be thrown away. We incrementally modernize legacy .NET Framework applications to modern .NET 8/9, reducing security vulnerabilities and operational costs.

PROBLEMS WE ADDRESS:

Applications stuck on deprecated .NET Framework 4.x; inability to run in Linux containers; difficult deployments; unmaintained libraries with known CVEs.

WHAT WE DELIVER:

Step-by-step migration plans; automated migration of compatible code with .NET Upgrade Assistant; containerization with Docker; automated CI/CD pipelines; ongoing maintenance SLA.

.NET Framework → .NET 8 WCF to gRPC / REST Docker Linux Hosting Git Migration
Discuss Modernization →

Pragmatic Modernization Strategy

1
Dependency & Portability Audit: Identify third-party libraries, Windows-specific APIs, and architectural bottlenecks before writing migration code.
2
Incremental Strangler Fig Pattern: Migrate endpoints and services incrementally rather than attempting a risky "big bang" rewrite that stalls business operations.
3
Linux Containerization: Package modernized services into lightweight Linux containers, dramatically reducing hosting and Windows licensing overhead.
04 • Data Pipelines

Data Engineering & ETL Pipelines

Your business generates data across payment systems, databases, CRM tools, and third-party APIs. We design reliable data pipelines that ingest, validate, clean, and store your data ready for analytics.

PROBLEMS WE ADDRESS:

Ad-hoc scripts failing silently; data inconsistencies across tools; duplicate records; manual spreadsheets required to generate monthly reports.

WHAT WE DELIVER:

Idempotent automated ETL pipelines; strict schema validation; automated error handling and alerting; clean relational data schemas; audit logs.

Python SQL Airflow / Prefect PostgreSQL SQL Server dbt
Discuss Data Pipelines →
Automated ETL Pipeline Architecture Idempotent Execution
1. Ingest Webhooks, REST APIs, CSV/S3 drops, database replicas.
2. Transform Type validation, deduplication, schema normalization.
3. Load & Verify Atomic upsert, checksum verification, discrepancy alerts.
05 • Analytics Integration

Reporting & Data Integration

Operational teams shouldn't need hours of manual Excel manipulation to generate management reporting. We build automated data marts and reporting integrations that give you accurate, up-to-date business metrics.

WHAT WE DELIVER:

Normalized reporting tables, automated daily/weekly email summaries, Power BI / Metabase data models, and API integrations connecting your ERP with external services.

Discuss Reporting Integration →

Single Source of Truth

Instead of querying slow production transactional tables directly, we build read-optimized views and reporting data marts that update on schedule without degrading customer transactions.

Reporting Latency Sub-second
Production Impact Zero Locks
06 • Applied AI

AI Assistants & Document Automation

We implement practical AI solutions that solve defined business bottlenecks: automated invoice/document parsing, semantic search over internal documentation, and grounded question answering with exact citations.

PROBLEMS WE ADDRESS:

Staff spending hours re-typing data from vendor invoices; customer support teams overloaded with repetitive queries; search engines that can't understand context.

WHAT WE DELIVER:

RAG-based internal search assistants; structured PDF/OCR data extraction pipelines; confidence-scored human-in-the-loop validation dashboards.

RAG Architecture Vector DBs (Qdrant/pgvector) PyMuPDF / OCR LangChain JSON Schema Validation
Discuss AI Automation →
rag-retrieval-grounding.py
# Strict context grounding to eliminate hallucinations
query = "What is the return policy for damaged electrical goods?"
1. Hybrid search (BM25 keyword + cosine vector similarity)...
Retrieved 3 chunks from Policy_Doc_2026.pdf [Score: 0.94]
2. LLM response generated strictly with citation anchors:
"Damaged electrical goods must be reported within 48 hours of receipt. [Source: Policy_Doc_2026.pdf, Page 4, Section 2.1]"
[✓] Zero hallucinations detected • Grounded answer validated
07 • Workflow Automation

Business Process & Workflow Automation

Connect your disparate SaaS tools, databases, and communication channels. We automate repetitive administrative tasks, ticket routing, and approval workflows with robust error handling.

WHAT WE DELIVER:

Custom webhook integrations; automated approval workflows; Slack/Teams notification bots; sync engines connecting payment gateways with internal accounting systems.

Discuss Automation Project →

Reliable Workflow Engineering

Unlike fragile no-code setups that break on unexpected inputs, we build workflows with retry queues, dead-letter storage, and automated alerts when an external API fails.

Automatic Retry Exponential backoff
Audit Logging 100% trace history
Fail-Safe Instant alerting
How To Engage

Flexible, Transparent Ways To Work Together.

Choose the structure that matches your project scope and risk profile. We are happy to start with a small pilot to demonstrate technical capability.

Model 01

Fixed-Scope Assessment

Best for diagnosing performance bottlenecks, reviewing existing codebases, or conducting a defined technical audit.

  • • Clearly bounded timeline (1–2 weeks)
  • • Fixed pricing agreed upfront
  • • Written deliverables and findings report
Request Assessment
Model 02 • Recommended

Milestone-Based Project

Best for building specific API services, ETL pipelines, application modernizations, or AI assistants with defined requirements.

  • • Phased milestones with agreed sign-offs
  • • Transparent weekly status updates
  • • 30-day post-handover warranty
Discuss Project Scope
Model 03

Dedicated Engineering Partner

Best for startups, agencies, and consultancies needing ongoing senior .NET and database engineering capacity.

  • • Dedicated hours per week or month
  • • Direct Slack / Teams integration
  • • Flexible backlog management
Explore Partnership

Ready to Discuss Your Technical Requirements?

Tell us about your application, workload, or data challenge. We'll provide an honest engineering assessment and a clearly scoped plan.

Discuss Your Project