Hi, I'm Mohammad Ibrahim

AI/ML Engineer

Passionate about developing responsible and impactful AI solutions. I specialize in machine learning, large language models, and computer vision to create intelligent systems that solve real-world problems.

Mohammad Ibrahim - AI/ML Engineer

About Me

Get to know me better

Hello! I'm Mohammad Ibrahim

I am an aspiring AI/ML Engineer with over 10 months of hands-on experience in developing and deploying intelligent systems. I hold a B.Tech in Computer Science and Engineering and am currently working as an AI/ML Intern at PharynxAI, where I contribute to real-world applications involving Gen AI and computer vision.

Passionate about responsible and impactful AI, I also serve as a Global Ambassador for the Responsible AI UAE Chapter, where I actively promote ethical practices in AI development and deployment. My areas of interest include Artificial Intelligence, Machine Learning, Large Language Models (LLMs), chatbot development, fine-tuning open-source LLMs, OpenCV, and object detection.

11

Projects Completed

6

AI/ML Domains

35+

Technologies Used

What I Do

Machine Learning

Developing and deploying ML models for various applications using TensorFlow and other frameworks.

AI Development

Building intelligent systems including chatbots, AI agents, and generative AI applications.

Computer Vision

Creating object detection and image processing solutions using OpenCV and deep learning.

NLP & LLMs

Fine-tuning large language models and developing natural language processing applications.

Experience & Education

My professional journey

Current Positions

Current

Global AI Delegate to the UAE

Global Alliance for Artificial Intelligence
May 2025 - Present

Representing the UAE in global AI initiatives and contributing to international AI policy discussions and collaborations.

  • Represent GAFAI at UAE tech forums, policy discussions, and industry events
  • Advance responsible AI practices among UAE's developer community and enterprises
  • Bridge technical implementation with ethical frameworks for emerging AI applications
  • Foster collaboration between UAE's innovators and global AI leaders
  • Promote scalable, ethical AI solutions that align with the UAE's vision for tech leadership
View Credentials
Current

Global Ambassador

Responsible AI UAE Chapter
Feb 2025 - Present

Actively promoting ethical practices in AI development and deployment, organizing events and workshops on responsible AI.

  • Empower Inclusion & Diverse Perspectives – Advocating for underrepresented communities in AI governance & ethical AI frameworks.
  • Shape AI Governance Frameworks – Collaborating with global policymakers, security leaders, and academia to balance innovation, security, and ethics.
  • Enhance AI for Cybersecurity Education – Developing AI-powered learning tools to strengthen cyber resilience.
  • Champion Ethical AI in Education: ensuring AI is ethical, secure, and beneficial for humanity.
View Credentials
Current

Artificial Intelligence & Machine Learning

PharynxAI
Nov 2024 - Present

Contributing to real-world applications involving Gen AI and computer vision, developing and deploying intelligent systems for various use cases.

  • Developed Gen AI applications for business solutions
  • Contributed to the development of a fine-tuned LLM using company data, applying unsupervised and supervised fine-tuning techniques on the Llama-3.1 model, and implemented Retrieval-Augmented Generation (RAG) for improved performance.
  • Built and deployed a solution for comparing resumes and job descriptions, fine-tuning NLP models to extract key information and enhance recruitment accuracy.
  • Metadata Service Layer: Developed a backend for metadata query extraction and UID resolution, with the UID passed to a RAG system for efficient embedding retrieval. Optimized the flow from input extraction to final output, ensuring seamless integration and enhanced performance.
View Certificate

Education

Graduated in 2025

Bachelor of Technology in Computer Science

Jamia Hamdard University
Bachelor's degree in Computer Science and Engineering with focus on software development, algorithms, and modern web technologies.

Featured Projects

Exploring the intersection of AI, machine learning, and real-world applications

AI-SEO

Designed and developed the backend for an AI-powered SEO tool that enables marketing teams to optimize and rank their products across multiple large language models (LLMs), streamlining workflows and improving product visibility.

OpenAI Gemini Perplexity Tavily SerpAPI

Cosmetic Ingredient Scanner

Designed and developed an AI-powered cosmetic safety tool that scans product labels using OCR, extracts ingredients, and cross-references them with FDA (US) and Indian regulatory databases to identify banned or harmful substances, ensuring transparency and consumer safety

Gemini

RASA NLU Bot

Trained a Rasa NLU model for intent classification and entity extraction using custom training data. Supports multiple user intents such as greetings, FAQs, and service inquiries with high accuracy.

Rasa Natural Language Understanding Python scikit-learn YAML

Job Description & KPI Generator for Hiring Recruiters

RESTful API using FastAPI to generate detailed job descriptions and KPIs from role summaries, integrated with LLM backend (Ollama API with LLaMA 3.1 model) for AI-powered natural language generation.

FastAPI Python LLaMA 3.1-8B Ollama API

AI-Powered Resume-Job Description Matching System

Complete AI system using spaCy, SentenceTransformers, and Ollama for parsing and matching resumes with job descriptions using semantic embeddings and similarity algorithms.

spaCy SentenceTransformers BERT Streamlit

UAE Number Plate Price Prediction

Built a machine learning pipeline to predict number plate prices in the UAE by scraping data from Xplate.com. Included analysis of patterns like repeating digits, culturally significant numbers (e.g., 786), and short sequences. Combined data extraction, preprocessing, and ML modeling to forecast prices and uncover trends.

BeautifulSoup Pandas Machine Learning Keras

Stock Price Prediction using LSTM

Advanced LSTM neural networks trained on Nifty-50 stock data with technical analysis, moving averages visualization, and deployed as interactive Streamlit web app.

LSTM Time Series Financial AI Streamlit

Automated Legal Document Summarization

Fine-tuned Seq2Seq model using FLAN-T5-large with Hugging Face transformers for advanced abstractive text summarization of legal documents.

NLP Transformers Fine-tuning FLAN-T5

Skills & Technologies

Tools and technologies I work with

Artificial Intelligence / Machine Learning

Machine Learning
Deep Learning
Generative AI
LLMs
Computer Vision
NLP
Object Detection
RAG
AI Agents
AI SEO

Programming & Frameworks

Python
TensorFlow
OpenCV
Keras
PyTorch
Scikit-learn
Pandas
NumPy
Matplotlib
LoRA
PEFT
SFT
zapier
llama-index
LangChain
LangGraph
n8n
PostgreSQL
MySQL

Specializations

Chatbots
Fine-tuning
Prompt Engineering
Model Deployment
Data Analysis
Git
Docker

Certifications

Professional credentials and achievements

Artificial Intelligence and Machine Learning

Jamia Millia Islamia (JMI), Delhi

Issued Jul 2024
Microsoft Power BI Keras Artificial Neural Network Pandas TensorFlow Convolutional Neural Networks (CNN) Weka Artificial Intelligence (AI) NumPy Scikit-Learn
DeepLearning.AI Certificate

Supervised Machine Learning: Regression and Classification

DeepLearning.AI

Issued Oct 2023
Classification Logistic Regression Regression Testing Regression Models Machine Learning
DeepLearning.AI Certificate

Get In Touch

Let's collaborate on AI/ML projects

Let's Connect

I'm always interested in discussing AI/ML opportunities, research collaborations, and innovative projects. Whether you're looking for an AI engineer or want to collaborate on responsible AI initiatives, I'd love to hear from you.

Email

mohd.lbrahim8323@gmail.com

Phone

+971-563188995

Location

Ajman, United Arab Emirates