Skip to content
View mshsheikh's full-sized avatar
🌏
Working from home
🌏
Working from home

Block or report mshsheikh

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
mshsheikh/README.md
EVA Fly Life

Planetary Skills


Baymax

Hi, I’m Salman

I build and scale cloudnative, production AI agents and LLM applications for enterprise teams. My work focuses on agentic AI, LLM applications, RAG workflows, and AI governance making sure systems are safe, observable, reliable, and productionready.

Over the past year, I’ve:

🚀 Reduced deployment lead time by 30%

🔁 Decreased content update cycles by 40%

🟢 Maintained 99% uptime in production environments

🧠 What I Do

I started my journey in Karachi, working with WordPress, JavaScript, TypeScript, and Python.
Today, I work as an Agentic AI Engineer & Fullstack Developer at GIAIC, designing autonomous, cloudnative systems using:

OpenAI GPT & OpenAI Agents SDK FastAPI, Dapr, and MCP Server (Context7) Distributed training and fine tuning with Ray and PyTorch

I also consult with teams to turn AI concepts into measurable, production outcomesnot demos.

🔍 RAG, Data & Knowledge Systems

Design and implement RAG pipelines and vector search Work with Qdrant and Pinecone Build data backends using PostgreSQL, NeonDB, and SQLModel Ship developer docs and portals with Docusaurus Treat Markdown as code

For agent UIs and integrations, I work with: OpenAI ChatKit Official MCP SDKs

☁️ Cloud, DevOps & Observability

I deploy and operate systems using:

Docker & Kubernetes Helm, Minikube, kubectlai, and kagent GitHub Actions, Terraform, DevContainers, and n8n Costeffective production clusters on DigitalOcean (DOKS) when appropriate

Every release includes: 📊 Observability 🔎 Model monitoring 🧬 OpenTelemetry patterns

🧪 Engineering Philosophy

TestDriven & SpecDriven Development Guardrails for safe and predictable RAG behavior Strong emphasis on governance, reliability, and maintainability

I call this approach MShaped Development:

Deep AI/ML expertise combined with broad fullstack and cloud engineering skills.

🏆 Selected Results

Delivered production agents and governed LLM applications for: Shell Unilever Carrefour HBL

Outcomes included: Faster release cycles Shorter content update timelines Enterprise uptime targets Improved release velocity

🤝 Open To

AI Engineering roles MLOps roles Fullstack cloud development Shortterm consulting engagements

Let’s connect and build practical, scalable AI systems together.

⚒ Technologies

AI & ML
Python · OpenAI GPT · OpenAI Agents SDK · OpenAI ChatKit · Ray · PyTorch · RAG

Backend & Data
FastAPI · Dapr · MCP Server (Context7) · Official MCP SDK · PostgreSQL · NeonDB · SQLModel · Qdrant · Pinecone · Kafka

Cloud & DevOps
Docker · Kubernetes · Helm · Minikube · kubectlai · kagent · GitHub Actions · Terraform · DevContainers · DigitalOcean (DOKS) · n8n

Frontend & DX
TypeScript · Next.js · Tailwind CSS · Sanity (groq) · Docusaurus · Markdown as code

Quality
pytest · TDD · SpecDriven Development


Find me here:

Gmail X Discord YouTube

Pinned Loading

  1. openai/openai-agents-python openai/openai-agents-python Public

    A lightweight, powerful framework for multi-agent workflows

    Python 18.9k 3.2k

  2. The-Adventure-Bee The-Adventure-Bee Public

    "The Adventure Bee 🐝" is now LIVE! Play Now to safe your bee from obstacles, score big, and enjoy this charming desktop browser game.

    JavaScript 22