Skip to content
View 92kareeem's full-sized avatar

Highlights

  • Pro

Block or report 92kareeem

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
92kareeem/README.md

Hi 👋, I'm Syed Abdul Kareem Ahmed

🚀 AI/ML Engineer | Software Dev at IIIT-H (IHub-Data)
🎓 B.E. CSE (Artificial Intelligence & Machine Learning) Graduate

I’m an AI/ML Engineer passionate about building real-world, production-ready AI systems. My work focuses on Machine Learning, Deep Learning, Generative AI, and Agentic Systems, with a strong emphasis on clean code, scalability, and practical impact.


🧠 What I Work On

  • Machine Learning & Deep Learning (CNNs, Sequential Models, Classical ML)
  • Generative AI, LLMs, RAG & Agentic Workflows
  • Data Analysis, Feature Engineering & Model Evaluation
  • Full-stack AI Applications (Flask, FastAPI, Streamlit, React)
  • Research-oriented AI & applied ML systems

🚀 Featured Projects

  • Learning Recommendation System
    Personalized recommendation engine using collaborative filtering and sequential modeling, evaluated with ranking and beyond-accuracy metrics.

  • AI-based Medical Transcription Analysis & Prediction
    NLP-driven system for analyzing medical transcripts and extracting actionable insights.

  • Cybersecurity using Machine Learning
    ML models for detecting malicious activities and improving system security.

  • Role Recommendation Engine
    Data-driven role recommendations based on user profiles and skill matching.

  • Anemia Detection (Deep Learning)
    End-to-end deployment of a ResNet-based model with Flask & frontend integration.

(Check repositories for detailed implementations 👇)


🛠️ Tech Stack

Languages: Python, Java
ML/DL: TensorFlow, Keras, Scikit-Learn
Data: Pandas, NumPy, Matplotlib
GenAI: LangChain, RAG Pipelines, LLM APIs
Tools: Git, MySQL, Jupyter, VS Code, Google Colab
Web: Flask, FastAPI, Streamlit, React

🤝 Let’s Connect


Always learning. Always building. Always improving.

Pinned Loading

  1. Lead-Scoring-and-ABM-Optimization-System-using-AI Lead-Scoring-and-ABM-Optimization-System-using-AI Public

    AI-Driven B2B Lead Scoring and Account-Based Marketing (ABM) Optimization System.

    Jupyter Notebook 1

  2. Agentic-travel-planner Agentic-travel-planner Public

    AI-powered, multi-agent travel planning system built in Python using a LangGraph-style architecture. It coordinates autonomous agents to generate personalized travel itineraries by combining user i…

    Python

  3. Anemia-Detection-using-Deep-Learning-TypeScript-React-Flask Anemia-Detection-using-Deep-Learning-TypeScript-React-Flask Public

    Full-stack web application that uses a CNN based ResNet50 model served with Flask and a TypeScript/React frontend for real-time anemia screening. It enables users to upload nail and eye images thro…

    TypeScript 1