Skip to content
View ibi111's full-sized avatar

Block or report ibi111

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
ibi111/README.md

Ibtsam Sadiq

AI/ML Engineer, building production-grade CV, LLM, and agentic systems.

Currently: MSc Data Science & Machine Learning @ Carl von Ossietzky Universität Oldenburg
Working: AI Engineer @ About Software GmbH, Karlsruhe


Work

About Software GmbH — Work Student AI Engineer (Oct 2025 – Present)
Architected batch processing and prompt-caching pipelines cutting client LLM costs by ~75% (€30–40k → €7–10k/month).

Techtics.ai — AI/ML Engineer (Aug 2023 – Sep 2025)

  • Built a JSON-editing copilot for 100k users reducing latency from 90s to under 10s using a detector-generator pipeline
  • Designed and deployed a multi-tenant RAG platform with strict data isolation across user organizations using AWS and open-source vector databases
  • Built an AI-powered data extraction and insight generation system processing structured and unstructured business data with LLM pipelines
  • Developed AI chatbots integrated with KPI analytics and graph analysis, reducing manual processing by 90% for finance and accounting clients
  • Implemented Dockerized text-to-image and multilingual translation microservices, refactoring a legacy monolith into modular architecture
  • Built an image search engine for a RAG system using open-source LLMs and dynamic ingestion pipelines

Projects

market-structure-cv
End-to-end CV pipeline detecting Fair Value Gaps in NQ futures charts using YOLO. 92.3% mAP@50 on test set. 80+ model downloads in 3 days.
Python YOLO FastAPI Docker Gradio HuggingFace

Human Activity Recognition — HEC Funded Research
CNN-LSTM model on wearable sensor data achieving 98.5% accuracy. Published in IJIST journal.
Python PyTorch CNN-LSTM

RAG Image Search Engine
Built with open-source LLMs and dynamic ingestion pipelines. Deployed at scale with AWS.
Python LangChain Llama AWS Docker


Stack

Python — PyTorch — YOLO — LangChain — LangGraph — FastAPI — Docker — AWS — PostgreSQL — Redis


Links

LinkedIn · HuggingFace · Kaggle · ibtsam.sadiq01@gmail.com


Recognition

  • Winner — Build with AI Hackathon, Nutec 2024 (FAST Peshawar)
  • Runner-up — Nutec FAST Islamabad (30,000 PKR prize)
  • Prime Minister Laptop Scheme 2023 — top 2 of 50 students

Pinned Loading

  1. market-structure-cv market-structure-cv Public

    End-to-end computer vision pipeline to detect Fair Value Gaps (FVGs) in NQ futures charts using YOLO26. Includes data collection, annotation, training, and live screen inference.

    Jupyter Notebook