Looking for a job

Akash Memon

@akashmemon

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I build Salesforce and MuleSoft solutions while applying AI to smarter agentic workflows.

Pakistan

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What I'm looking for

I'm looking to build smarter cloud and agentic AI workflows, solve complex Salesforce and integration challenges, and collaborate with diverse teams on high-impact customer experiences.

I'm building Salesforce solutions at The Lodestone Group, following delivery work for Australian and New Zealand organisations including Northcott, Dairy Australia, and GWF Limited.

At Media.Monks and Destined, I developed Apex and JavaScript applications, partnered with stakeholders on requirements, and improved operational efficiency by 20% through Flows, Process Builder, and Workflow Rules.

I also led MuleSoft API analysis, design, development, and testing for clients including Genea Australia and Arq Group. My RAML, Mule Flows, Scopes, and DataWeave work improved application robustness and user satisfaction by 15% and callout efficiency by 25%.

With an MSc in Artificial Intelligence from The University of Manchester and a Computer Science background, I'm focused on connecting software engineering with Salesforce Agentforce and autonomous AI to create better customer and user experiences.

Experience

Work history, roles, and key accomplishments

Current

Salesforce Developer

Current

The Lodestone Group

Dec 2025 - Present (10 months)

Developing custom Salesforce applications and integrations for global clients.

Lightning Web Components SOQL Flow Agentforce Data Cloud Salesforce DX Jest AI assisted Development Salesforce Apex JavaScript MuleSoft

Salesforce Developer (now a part of Media.Monks)

Destined (a media.monks company)

Nov 2021 - Dec 2023 (2 years 1 month)

Worked as Salesforce Developer (now a part of Media.Monks) at Destined (a media.monks company).

Salesforce Developer

Destined (a media.monks company)

Nov 2021 - Dec 2023 (2 years 1 month)

Developed and maintained custom Salesforce solutions for clients in Australia and New Zealand.

Salesforce Apex JavaScript MuleSoft RAML DataWeave

Salesforce / MuleSoft Developer

Media.Monks

Nov 2021 - Dec 2023 (2 years 1 month)

Delivered configured and custom Salesforce solutions for enterprise clients across Australia and New Zealand, developed backend logic in Apex and Lightning Web Components, and built REST integrations. Designed RAML-based API specifications and integration flows using MuleSoft.

Apex SOQL Lightning Web Components JavaScript Flow REST MuleSoft RAML DataWeave

Salesforce Developer

Media.Monks

Nov 2021 - Dec 2023 (2 years 1 month)

Salesforce:

- Implemented custom Salesforce solutions for leading organizations in Australia and New Zealand, such as Northcott, Dairy Australia, and GWF Limited.

- Successfully delivered projects that met the specific needs of each client.

- Worked closely with stakeholders to gather requirements and ensure that solutions were aligned with business goals.

- Developed and maintained Apex and J

Salesforce Apex JavaScript MuleSoft Flow RAML DataWeave

Analyst Software Engineer

Afiniti

Apr 2021 - Nov 2021 (7 months)

- Developed and maintained requirements on Oversight, a product that monitors system and server statistics on behalf of clients like AT&T and Cisco.

- Used technologies like Node.js, and Java to implement requirements.

- Worked on an enterprise-grade conversational platform built with RASA Engine to provide intuitive features to train Conversation AI.

Full Stack Developer Java Rasa Conversational AI

Salesforce Graduate Trainee

AceAim Australia

Mar 2021 - Oct 2021 (7 months)

Participated in a graduate training program focused on Salesforce development.

Salesforce

Education

Degrees, certifications, and relevant coursework

The University of Manchester

Master of Science - MS, Artificial Intelligence

2024 - 2025

The University of Manchester

Master of Science, Artificial Intelligence

2024 - 2025

Pursued an MSc in Artificial Intelligence at The University of Manchester from 2024 to 2025.

University of Manchester

Master of Science, Advanced Computer Science (Artificial Intelligence)

2024 - 2025

Activities and societies: Dissertation: Energy Optimization in Swarm Robotics (Python, Webots), achieving a 20% efficiency gain over baseline. Coursework in Cognitive Robotics and Computer Vision (CNN, ResNet, SIFT/SVM).

MSc in Advanced Computer Science with an Artificial Intelligence stream, including a dissertation on energy optimization in swarm robotics.