Heersh Salih / Engineering capabilities

Technical depth.
Practical delivery.

An overview of the engineering capabilities behind METHODARC. Experience spans application development, integration, automation, infrastructure and the operation of working systems.

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From interface to operation

A connected engineering
skill set.

Practical strengths are described through the work they support, without arbitrary ratings or percentages.

Application engineering

Developing responsive interfaces, application services and connected user journeys.

Angular
TypeScript
Java
Spring Boot
Bootstrap
React Native / Expo

Web applications, forms, administrative tools and portals
Application service logic, validation and REST APIs
Mobile application interfaces connected to backend services

Data and business workflows

Working with operational data from the database through to the interface and report.

PostgreSQL
SQL
Hibernate / JPA
Python
CSV / Excel

Relational schemas, queries and controlled database changes
Imports, exports, validation and repeatable processing
Reporting, record management and workflow driven features

Integration and live systems

Connecting applications, devices and data sources across system boundaries.

REST APIs
MQTT
Redis
Socket.IO
Leaflet

Adapters, data translation and integration diagnostics
Live messaging, telemetry and map based dashboards
Replay tools, test inputs, logging and health checks

Infrastructure and deployment

Preparing environments and helping software reach and remain in operation.

Linux / Ubuntu
Windows Server
Docker
Azure DevOps
Git / CI/CD
Apache / Tomcat

Server services, certificates, reverse proxies and configuration
Build workflows, container packaging and application releases
Virtual machines, operational logs and deployment instructions

Modernisation and reliability

Improving established applications and the routines that support them.

Framework upgrades
Java / Python migrations
Keycloak
AWS S3
Automated checks

Library and runtime upgrades with compatibility work
Authentication, permissions and supporting service changes
Backup routines, fault investigation and verified improvements

AI integration and prototypes

Practical model connections and controlled document and assistant workflows.

Ollama
Local inference
Python services
Model APIs
Agent prototyping

Local runtime setup and representative task evaluation
Document processing and application workflow prototypes
Scoped assistant and tool integration with human review

Delivery responsibility

More than
writing the code.

Requirements and planningUnderstand the process, clarify constraints and define a useful scope.
Architecture and integrationConnect interfaces, services, data and deployment decisions.
Verification and releaseCheck important behaviour and prepare a considered deployment.
Support and handoverInvestigate faults, improve maintainability and document operation.

Academic foundation

First Class Honours.

BSc (Hons) Software Development
University of Suffolk, 2016 to 2019

Supported by commercial software delivery, earlier systems reliability work, practical computer support and further study in application development and DevOps.

Background and qualifications

Technical depth.Practical delivery.

A connected engineeringskill set.