Muhammad Imran

Full-time · Islamabad · Remote

Building an AI data engineer for failed pipelines. When a run fails on Microsoft Fabric, Azure Data Factory or Databricks, PipelineMender collects the evidence, explains why it broke and drafts the fix — turning hours of log-digging into minutes.

• Leading product, customers and go-to-market; currently onboarding design partners
• Evidence-first investigations: observed facts kept separate from hypotheses, every root cause traceable
• Read-only by design — nothing is changed in customer pipelines without review

Freelance · Remote

Independent AI engineering for founders, CTOs and enterprise teams, as a Verified and Preferred Freelancer.

• Delivered AI, ML, computer-vision, LLM and enterprise-automation solutions across industries
• Designed customer-service automation, document intelligence, predictive analytics and process-optimisation systems
• Led discovery, solution architecture, pricing proposals and long-term client engagements
• Built SaaS products with Python, FastAPI, OpenCV, OpenAI, LangChain, PostgreSQL, AWS and Docker

Contract · Rome, Italy · Remote

Self-hosted AI, security and IoT on Windows Server — fully on-premise for data privacy.

• PDF Analysis API: FastAPI service extracting and analysing PDF tables with local models (Docling, Ollama)
• Private AI chat: self-hosted Open WebUI with local LLMs, published over HTTPS through IIS
• Secure access: IIS reverse proxy and OIDC single sign-on for the AI chat and legacy Classic ASP / VB6 apps
• IoT platform: ThingsBoard + PostgreSQL for device monitoring and firmware updates, with WireGuard tunnels
• Mobile security: device hardening with GrapheneOS

Full-time · Austin, Texas · Remote

Worked with Trilogy building AI-first full-stack features for Ephor.ai — a platform for AI-assisted research, knowledge management and multi-LLM collaboration.

• Engineered frontend and backend systems with React, TypeScript, Python, FastAPI, PostgreSQL, Redis and Docker
• Implemented LLM integrations, agentic workflows, API services and data-driven features
• Owned work from architecture to deployment and optimisation in a globally distributed team

Full-time · Islamabad · On-site

Designed LLM assistants and serverless AI workflows for client-facing and internal automation.

• Built LLM assistants and custom GPTs with OpenAI, LangChain and Pinecone
• Integrated AI workflows with event-driven AWS infrastructure — Lambda, S3 and Step Functions
• Created multimodal tools for transcript analysis, document Q&A and speech scoring
• Fine-tuned open-source LLMs and deployed them on AWS ECS and Hugging Face Inference Endpoints

Full-time · Islamabad · On-site

Shipped AI-first features with GPT APIs, fine-tuned models and vector search.

• Deployed solutions using OpenAI GPT APIs, fine-tuned LLMs and vector search with Pinecone and FAISS
• Built end-to-end pipelines for support automation, internal tooling and intelligent data extraction
• Integrated AI into web platforms with FastAPI, React and serverless APIs
• Owned architectural decisions, sprint planning and rapid prototyping

Thesis: “Underwater Image Classification for Marine Using CNN” — Multi-label classifier for rockfish, tilefish and starfish: a custom CNN plus transfer learning with VGG16, VGG19, ResNet50, Xception-71 and DenseNet121 (best). 99%+ accuracy on two classes and 97% on the third.

Project: “University Student Management System” — Built the university’s Student Registration and Fee Management systems with my team — several modules were deployed by the university.