Generative AI & LLM Systems
Cloud and local LLM integration, Llama-based models, AI agents, chatbots, prompt engineering, and production-oriented intelligent applications.
AI Engineer & Full Stack Developer · Generative AI · LLM · RAG · AI Agents & Automation
AI Engineer & Full-Stack Developer | Generative AI, LLMs, RAG, AI Agents & Automation
AI Engineer and Full-Stack Developer experienced in building Generative AI applications, LLM-powered systems, RAG pipelines, AI agents, voice agents, and workflow automation solutions. Hands-on experience with cloud and local LLM deployment, including Llama-based models, vector databases, document processing, API integrations, and n8n automation workflows. Experienced in developing inbound and outbound AI voice workflows, integrating AI capabilities with backend systems and third-party services, and working with machine learning, transformer-based models, and full-stack web applications.
3 yrsAI & full-stack engineering
11Selected projects
2Industry & research organizations
AI + Full-Stackfrom intelligent systems to applications and deployment
What I build
Services
RAG & Semantic Retrieval
Document ingestion, embeddings, vector search, semantic and contextual retrieval with Pinecone, Chroma, FAISS, and private data sources.
AI Automation & Voice Agents
n8n workflows, webhooks, API-driven automation, voice assistants, and inbound and outbound AI call workflows connected to business systems.
Backend & Integrations
C#, .NET, ASP.NET Core, REST APIs, third-party services, Google and Apple integrations, authentication flows, webhooks, SQL, and PostgreSQL.
SaaS & E-Commerce Platforms
Scalable SaaS and commerce products with secure user flows, subscriptions, payments, role-based access, inventory, transactional order processing, dashboards, integrations, and maintainable APIs.
Data & Product Integrations
Database integration, Stripe payments, Checkr background checks, document access control, and third-party API connections.
Web & Mobile Delivery
React and React Native features connected to application backends, real-time data, product workflows, and external services.
Machine Learning & NLP
Transformer models, NLP, classification, model training, predictive modeling, Scikit-learn, TensorFlow, stacking ensembles, and rigorous model evaluation.
Selected work
AI Persona System
AI / RAG engineering·2025
Developed a Python-based LLM application that creates conversational personas from uploaded documents, with responses reflecting the user's tone, style, and language. Implemented document ingestion, embeddings, vector retrieval, and RAG.
PythonLLMsLangChainRAGVector Database
Python
LangChainAI-Powered Quran Chatbot
AI / RAG engineering·2025
Built a domain-specific chatbot using RAG, vector databases, and Supabase to answer questions with verse references, translations, and contextual explanations.
RAGSupabaseSemantic SearchVector Database
SupabaseDocument Management and Directory Platform
Full-stack + AI search·2025
Built a TypeScript and Supabase platform with file uploads, organization management, member access control, document verification, and embedding-based semantic search.
TypeScriptSupabaseAccess ControlVector Search
TypeScriptHome Services Marketplace Platform
Full-stack engineering·Present
Developed a full-stack application for household service requests, caregiver applications, and bookings, including Stripe payments and Checkr background checks.
Node.jsTypeScriptSupabaseStripeCheckr
Node.js
Stripe
CheckrMarketplace Platform
Full-stack engineering·2024 - 2026
Developed and maintained .NET REST APIs, business logic, and PostgreSQL integration; contributed React UI components and frontend feature integration.
.NETPostgreSQLReactREST APIs
.NET
PostgreSQL
ReactMASCO Home Appliances E-Commerce Platform
Full-stack e-commerce·2026
Designed and developed a modular full-stack e-commerce platform with versioned REST APIs and structured product, customer, cart, order, payment, inventory, and review data. Implemented secure authorization, server-side checkout validation, transactional order processing, payment verification, inventory controls, monitoring, and CI/CD delivery.
Next.jsReactTypeScriptSupabasePostgreSQLGitHub ActionsVercel
Next.js
GitHub Actions
VercelReal Estate Price Prediction
Machine learning research·2023
Developed and compared Linear, Ridge, Lasso, Elastic Net, K-Nearest Neighbors, and Bayesian Ridge regression models. Implemented stacking ensembles and evaluated predictions using MSE, MAE, and MAPE.
PythonRegressionStacking EnsemblesModel Evaluation
Experience
Where I've worked
03/2024 - Present
AI Software Engineer
Asimplify | Islamabad, ICT, PakistanDevelop production-oriented LLM applications, RAG solutions, AI agents, chatbots, and document-based question-answering systems for business applications and workflow automation.
Design RAG and semantic retrieval pipelines with Pinecone, Chroma, and FAISS, covering ingestion, embeddings, vector search, semantic retrieval, and contextual retrieval.
Build n8n automation workflows with REST APIs, webhooks, databases, LLM-powered components, and third-party services for multi-step business processes.
Configure local LLM environments with Llama-based models and connect locally hosted models to retrieval pipelines, backend services, and application workflows.
Develop AI voice agents and inbound and outbound voice workflows connected to APIs, application data, backend systems, and automated business processes.
Work with machine learning and transformer-based models for NLP, classification, prediction, and intelligent application features.
Build backend APIs and integrate LLMs, AI agents, databases, external tools, and third-party services into production-oriented applications.
Integrate Google and Apple platforms through APIs, authentication flows, and application integration workflows.
Develop full-stack applications with .NET, PostgreSQL, React, and REST APIs, integrating AI and automation into end-to-end product workflows.
Integrate Stripe, Checkr, and external platforms into service-booking, transaction, and workflow-driven applications.
Support application deployment, CI/CD pipelines, production maintenance, system integrations, and end-to-end delivery.
10/2023 - 02/2024
AI Software Engineer Intern
Asimplify | Islamabad, ICT, PakistanAssisted with Python-based AI applications, chatbot development, and automation workflows.
Contributed to full-stack development, API integrations, and testing under the engineering team.
02/2023 - 09/2023
Research Associate (Training)
COMSATS University, ComSens Lab | Islamabad, ICT, PakistanResearched machine learning and data analysis; developed predictive models and evaluated performance.
Collaborated with researchers on AI experiments, modeling approaches, and interpretation of results.
Stack
What I reach for
- Generative AI & LLMs
- Large Language ModelsGenerative AIRAGAI AgentsChatbotsPrompt EngineeringLangChainLocal LLMsLlamaEmbeddingsSemantic Search
- Vector Databases & Retrieval
- PineconeChromaFAISSVector SearchEmbedding GenerationDocument IngestionSemantic RetrievalContextual Retrieval
- AI Automation & Voice
- n8nWorkflow AutomationBusiness Process AutomationAI Voice AgentsVoice AssistantsInbound Call AutomationOutbound Call AutomationAPI-Driven WorkflowsWebhooks
- Machine Learning & NLP
- Machine LearningTransformer ModelsNLPClassificationModel TrainingModel EvaluationScikit-learnTensorFlow
- Backend & Integrations
- C#.NETASP.NET CoreREST APIsAPI DevelopmentThird-party APIsGoogle IntegrationsApple IntegrationsWebhooks
- Full-Stack Development
- ReactNext.jsJavaScriptTypeScriptHTML5CSS3Full-Stack Development
- DevOps & Platforms
- GitGitHub ActionsCI/CDApplication DeploymentStripePayment IntegrationsVercelSystem Maintenance
n8n
Scikit-learn
TensorFlow
C#
Google Integrations
Apple Integrations
JavaScript
GitAbout
Who you're hiring
I'm Muhammad Ahsan Rasheed, an AI Engineer and Full-Stack Developer with 3 years of experience building Generative AI applications, LLM-powered systems, RAG pipelines, AI agents, voice agents, and automation workflows.
My work spans cloud and local LLM deployment, Llama-based models, Pinecone, Chroma, FAISS, n8n workflows, .NET and PostgreSQL services, Google and Apple integrations, SaaS products, and e-commerce platforms.
I also work with machine learning, transformer models, NLP, classification, model training, predictive modeling, and production deployment through CI/CD workflows.
- Current focus
- Generative AI · LLMs · RAG · AI and voice agents · automation · full-stack products
- Research mentor
- Dr. Nadeem Javaid ↗ · COMSATS University Islamabad
- Availability
- Full-time & Freelance
Education
Bachelor of Science in Computer Science
IQRA University Islamabad | Islamabad, ICT, Pakistan10/2019 - 08/2023
Major in Computer Science and Artificial Intelligence. Final-year project supervised by Dr. Muhammad Bilal Bashir, focused on machine learning, regression models, and predictive systems.
Before we talk
What teams usually ask
Generative AI and full-stack work: LLM applications, local LLM deployments, RAG pipelines, AI and voice agents, n8n automation, semantic retrieval, REST APIs, integrations, and production-ready web products.
Yes. I work across document ingestion, embeddings, Pinecone, Chroma, FAISS, vector search, semantic and contextual retrieval, and the APIs needed to connect those systems to a product.
No. I also build full-stack products and REST APIs, integrate .NET, PostgreSQL, React, Google and Apple services, connect Stripe and Checkr, and support deployment, CI/CD, and production maintenance.
My core stack includes LangChain, Llama-based models, Pinecone, Chroma, FAISS, n8n, C#, .NET, ASP.NET Core, React, Next.js, TypeScript, PostgreSQL, Supabase, Scikit-learn, and TensorFlow.
Full-time & Freelance. Send a short brief through the contact form or email me directly and I will get back to you with the best next step.
Contact
Let's build something useful
Have a Generative AI feature, RAG pipeline, AI or voice agent, n8n automation, backend integration, or full-stack product to build? Send a few lines about the problem, the current stage, and what you need help with.
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