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faizanhuda12/README.md

πŸ‘‹ Hi, I'm Faizan Huda

Senior AI/ML & Cloud Engineer | IBM Consultant

I build scalable AI systems, cloud-native applications, and production-grade machine learning pipelines. My work blends distributed computing, applied AI, and cloud architecture, helping teams ship reliable, high-impact solutions.

I’m currently focused on LLM engineering, AI agents, and serverless ML pipelines that run at scale.


πŸš€ What I Do

  • AI/ML Engineering: LLMs, generative AI, embeddings, RAG systems, vector databases, optimization & inference
  • Cloud Engineering: AWS serverless architecture, distributed systems, event-driven design
  • MLOps: CI/CD for ML, automated retraining, monitoring, model registry, containerized workflows
  • Backend Development: Python, FastAPI, microservices, REST APIs
  • DevOps: Docker, Kubernetes (CKAD), Terraform, GitHub Actions

🧠 Certifications

  • AWS Solutions Architect – Associate
  • Google Cloud Associate Cloud Engineer (ACE)
  • CKAD – Certified Kubernetes Application Developer
  • SAFe Agile Certification
  • IBM Enterprise Security & Cloud Compliance Training (Internal)
  • Additional industry training across LLMs, MLOps, Data Engineering, and Cloud Architecture

πŸ”₯ Current Focus

  • Designing AI agents and workflow automation systems
  • Engineering serverless ML pipelines using Lambda, SQS, Step Functions, and ECS
  • Building production-grade SaaS architectures (Cognito, API Gateway, DynamoDB, Stripe)
  • Making meaningful daily commits to open-source and personal AI/cloud projects

πŸ› οΈ Tech Stack

Languages

Python β€’ JavaScript β€’ TypeScript β€’ SQL β€’ Java

AI / ML

PyTorch β€’ TensorFlow β€’ HuggingFace β€’ LangChain β€’ OpenAI API
Vector DBs (Pinecone, FAISS) β€’ RAG β€’ Transformers β€’ Scikit-Learn

Cloud

AWS (Lambda, IAM, S3, RDS, DynamoDB, EC2, Step Functions, EventBridge)
Google Cloud (Compute, IAM, Cloud Run, Storage)
Terraform β€’ CloudFormation β€’ Kubernetes β€’ Docker

Backend & Web

FastAPI β€’ Node.js β€’ Next.js β€’ React β€’ REST APIs
Serverless architectures β€’ Event-driven systems


πŸ“ˆ Current Initiatives

  • Publishing architecture diagrams, ML notebooks, and open-source utilities
  • Demonstrating senior-level engineering patterns in AI and cloud
  • Documenting my journey building production AI services end-to-end

πŸ“¬ Connect with Me

LinkedIn: https://linkedin.com/in/faizan-ul-huda

Pinned Loading

  1. Agentic-AI-Case-study Agentic-AI-Case-study Public

    This repo shows how a logistic company problem was solved using Agentic AI

    Jupyter Notebook

  2. MlOps-Pipeline-DEMO MlOps-Pipeline-DEMO Public

    Repo demonstrates a full end to end ML worklflow from model training to MlOps to drift detection

    Jupyter Notebook

  3. Nike-LLM-Case-Study Nike-LLM-Case-Study Public

    This repo shows how a problem Nike had was solved by training an LLM using Qlora + SFT technique

    Python

  4. dogvision dogvision Public

    Jupyter Notebook

  5. house-prediction house-prediction Public

    An AI model predicts the price of an house in 2014

    Jupyter Notebook

  6. instagram-clone instagram-clone Public

    JavaScript