Skip to content
View afshaankhan's full-sized avatar
🥷
Focusing
🥷
Focusing
1 follower · 1 following

Highlights

Block or report afshaankhan

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 is supported. This note will only be visible to you.
Report abuse

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

Report abuse
afshaankhan/README.md

Languages I Use

Senior Generative AI Engineer | RAG & LLM Systems | Cloud AI Platforms

AI Engineering and Cloud Systems

Welcome! I'm Afshaan Khan 👋

Senior Generative AI Engineer specializing in LLM Applications, AI Platforms, and Scalable Data Systems

I'm Afshaan Khan, an engineer passionate about building enterprise-grade AI systems, RAG pipelines, and intelligent data-driven applications.
I design scalable platforms that integrate Large Language Models (LLMs), semantic search, and distributed data pipelines to power intelligent products and automation workflows.

I thrive at the intersection of:

Generative AI • Distributed Systems • Cloud Platforms • Data Engineering

Outside of coding, I enjoy experimenting with AI agents, designing knowledge-driven applications, and exploring emerging LLM-powered architectures.




  • Currently building enterprise AI and automation systems at Kahana
  • Specializing in RAG pipelines, LLM workflows, and cloud-native AI platforms
  • Interested in AI Engineering, Backend Systems, ML Platforms, and Distributed Architectures
  • Ask me about RAG systems, APIs, ML pipelines, and scalable AI infrastructure
  • Reach me at afshaank21@gmail.com




🧠 Core Competencies

Generative AI & LLM Systems

  • Retrieval-Augmented Generation (RAG)
  • Prompt Engineering & Conversational AI
  • Semantic Search & Vector Databases
  • LangChain, LLM Workflows
  • Multi-turn Conversational Systems
  • Knowledge Retrieval Platforms

Programming & Backend Engineering

  • Python, JavaScript, Java, C++, Bash
  • FastAPI, Flask, REST APIs
  • Microservices Architecture
  • Distributed Systems Design
  • API Integration & Automation

Data Engineering & Machine Learning

  • Apache Spark, PySpark
  • Airflow, Prefect
  • Feature Engineering Pipelines
  • Recommendation Systems
  • Demand Forecasting
  • Model Evaluation & Experimentation

Cloud & Infrastructure

  • Google Cloud Platform (GCP)

    • Vertex AI
    • BigQuery
    • Dataflow
    • Cloud Storage
    • GKE

  • AWS

    • EC2
    • S3
    • Lambda
    • Bedrock

  • DevOps

    • Docker
    • Kubernetes
    • CI/CD Pipelines
    • Terraform

🚀 What I'm Currently Focused On

  • Building LLM-powered enterprise systems
  • Designing RAG-based knowledge platforms
  • Developing scalable AI microservices
  • Optimizing cloud-native ML pipelines
  • Exploring AI agents & intelligent automation

🌐 Portfolio & Contributions

🛠 Tools & Technologies

Python FastAPI Docker Kubernetes Google Cloud AWS BigQuery PostgreSQL MongoDB Apache Spark LangChain GitHub

⭐ Engineering Philosophy

"Build intelligent systems that scale, adapt, and create real-world impact."

Always building.
Always optimizing.
Always learning.

Pinned Loading

  1. Company_Insight_Extractor Company_Insight_Extractor Public

    Company Insight Extractor is a Python-based web intelligence tool that automatically extracts company profiles, descriptions, founding years, leadership details, emails, and social links from publi…

    Python 2

  2. AI_Sleep_Apnea_Detector AI_Sleep_Apnea_Detector Public

    An intelligent, web-based platform to detect obstructive sleep apnea using biomedical signal processing and ensemble machine learning.

    HTML 5 2

  3. LLM-Powered-Portal-Search LLM-Powered-Portal-Search Public

    This project implements an intelligent search system using Large Language Models (LLMs) to analyze and extract information from company websites. Users can ask questions, and the system provides ac…

    Python 1

  4. Audio-Based-Emotion-Prediction Audio-Based-Emotion-Prediction Public

    Audio-Based Emotion Prediction uses deep learning to classify emotions from speech. By analyzing tone, pitch, and intensity with CNN-LSTM, it detects Happiness, Sadness, Anger, Fear, Disgust, and N…

    Jupyter Notebook 3

  5. Predicting-type-2-Diabetes-using-linear-regression- Predicting-type-2-Diabetes-using-linear-regression- Public

    Predict Type 2 diabetes risk using linear regression . Analyze health data like age, BMI, and glucose levels. Implemented with Python, Pandas, and Scikit-Learn to predict diabetes likelihood based …

    Jupyter Notebook 1

  6. X-Ray-Pneumonia-Diagnosis X-Ray-Pneumonia-Diagnosis Public

    X-Ray Predictive Analytics for Pneumonia Diagnosis uses deep learning to classify chest X-rays as normal or pneumonia-affected. With CNNs, TensorFlow, & image preprocessing, it boosts diagnostic ac…

    Jupyter Notebook 1