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Qasim Fareed

Qasim Fareed

Software Implementation & Integration Specialist | AI Chatbot Developer | UAT, Training & Client Support

Talent
IslamabadMember since July 22, 2026
LLM fine-tuningPrompt engineeringRetrieval-augmented generation (RAG)Vector databasesChatbot frameworksPythonOpenAI / open-source modelsEnterprise application implementationCustomisationConfigurationDeploymentREST APIsHL7DICOMASTMMiddleware configurationThird-party device & system interfacingUAT planningTest case designDefect lifecycle managementRegression testingSQL queriesMS SQL ServerBasic database administrationData migration & cleansingSRS / FRSWorkflow diagramsTraining manualsSOPsDeployment reports
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LLM fine-tuningPrompt engineeringRetrieval-augmented generation (RAG)Vector databasesChatbot frameworks

About

Software implementation and integration specialist with 15+ years of progressive experience delivering end-to-end enterprise software solutions across 45+ client organisations, complemented by hands-on expertise in building and fine-tuning AI-based chatbots.

Skilled across the full delivery lifecycle: requirement gathering, workflow analysis, system customisation, third-party integration, User Acceptance Testing (UAT), deployment, end-user training and ongoing client support. Comfortable building conversational AI assistants — covering use-case scoping, data preparation, prompt engineering, model fine-tuning, retrieval-augmented generation (RAG) and deployment — to automate FAQs, scheduling, customer support and internal helpdesk workflows. Domain experience spans healthcare information systems (HMIS, LIMS, PACS, EMR) and laboratory/medical-device integration, with transferable expertise applicable to any data-intensive industry.

Experience

Senior Engineer — Software Implementation, Integration & AI Solutions at Easy Tech Solutions (2018-03 – Present)

Lead end-to-end design, implementation and post-go-live support of enterprise software systems for 45+ client organisations, with primary focus on healthcare information systems (HMIS, LIMS, PACS, EMR).

  • Conduct structured requirement-gathering and workflow-analysis sessions with business and operational stakeholders to define functional and technical specifications.
  • Plan and execute integration of third-party systems and devices with the core platform — including laboratory analyzers, imaging modalities (DICOM), monitoring devices and external software — using standards-based interfacing (HL7, DICOM, ASTM, REST APIs).
  • Design and run comprehensive User Acceptance Testing (UAT) cycles: prepare test scenarios, coordinate test users, log and triage defects, and obtain formal sign-off prior to go-live.
  • Deliver onsite and virtual training to end users across operational, clinical and finance functions; prepare role-based user manuals, quick-reference guides and SOPs to ensure rapid user adoption.
  • Provide tier-1 and tier-2 client support, handling queries, troubleshooting issues and coordinating with development & QA teams to resolve incidents within agreed SLAs.
  • Liaise between client stakeholders and the engineering team to translate business requirements into actionable change requests, prioritising enhancements based on operational impact.
  • Monitor system performance post-deployment, identify process bottlenecks and recommend optimisations that improve data accuracy, reporting timeliness and overall workflow efficiency.
  • Maintain detailed project documentation including workflow diagrams, implementation reports, UAT records and training attendance logs for compliance and audit purposes.
  • Design and build AI-based chatbots for client operations — including customer FAQ assistants, appointment / booking bots and internal IT helpdesk agents. Cover the full lifecycle: use-case scoping, dataset curation, prompt engineering, model fine-tuning, evaluation and deployment.
  • Fine-tune large language models on organisation-specific knowledge bases (SOPs, FAQs, ticket logs) and integrate retrieval-augmented generation (RAG) pipelines so chatbots respond using up-to-date, organisation-specific information.
  • Integrate chatbots with backend systems and messaging channels (web, WhatsApp) to automate routine queries, reduce front-line support load and improve customer experience.

Trainee Engineer — Software Implementation at Easy Tech Solutions (2012-02 – 2018-03)

  • Supported senior engineers in designing and configuring enterprise software modules — covering registration, workflow management, billing, inventory and reporting — primarily for healthcare clients.
  • Participated in requirement-gathering sessions and prepared workflow diagrams reflecting client departmental processes.
  • Assisted in software installation, data migration, master-data setup and initial user training at client sites.
  • Collaborated with end users to identify process gaps and recommended system customisations to streamline operations.
  • Contributed to QA activities including functional testing, regression testing and documentation of test cases.

Education

Bachelor of Engineering in Electrical (Major: Electronics) – Bahria University (2007 – 2011)

Intermediate (HSSC) in Pre-Engineering – RPS & C (2005 – 2007)

Matriculation (SSC) in Science – RPS & C (2003 – 2005)

Skills

Software Implementation & Integration SpecialistAI Chatbot DeveloperUATTraining & Client Support

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