Projects where ( Biology ) ∩ ( AI & ML ), a dash of NLP & LLMs
- Agents for Science & Biology
From Text to 3D Structure. An intelligent agent powered by Gemini that transforms natural language descriptions of proteins into ready-to-use 3D structures using Apple's SimpleFold. It reasons through biological requirements to generate accurate protein models on demand.
Your MedGemma powered research agent, try throwing at it any research, literature review, drug discorvery or omics task and watch it work.
- Arabic NLP Benchmarks & Evaluation
Expanded upon Pico-voice ASR benchmark to support benchmarking of OpenAI's Whisper in transcription of Egyptian ARZ speech into ARZ and english text.
Expanded lm-evaluation-harness to support machine translation of ARZ to english and vice versa with a new ARZ corpus dataset from hugging face and Meta's Nllb200.
- LLM Hallucination Detection & Mitigation
Competition solution for Russian hallucination detection (codeforces) using Agentic Context Engine (ACE)—trained Gemma-3-270M (Generator) with Gemini Flash 2.5 (Reflector/Curator) to learn 83 anti-hallucination strategies from 380 SberQuAD-derived examples that were transformed using Gemini Flash 2.5, achieving 0% hallucination rate with conservative refusal behavior deployed via llama.cpp + GGUF for GPU inference for the competition.
- Geospaital AI Esri North Africa
As part of my GIS intership at Esri, A fine tuned Presto (GeoAI foundational model) on the task of classifying 3 crop types across Africa and also as part of a GeoAI competition on Zindi where it achieved leaderboard position 37, The model's outputs integrate seamlessly into ArcGIs and can be viewed as a feature layer.
- Explainable AI and Adversarial Attacks
XAI, Adversarial attacks and model hardening on CNNs tutorial
A 4 step workflow outlining how to fine-tune ResNet-34/MobileNetV2 on Caltech-101, generate FGSM adversaries using torchattacks, interpret with Grad-CAM & saliency, and evaluate defenses (adversarial training, input transforms).
- Robotics & Voice Control
SHATO — Voice-Controlled Robotic Assistant
A production-grade microservices system that turns speech into schema-validated robot commands—Whisper STT → Fine tuned Gemma3-270M intent extraction → Pydantic validation (self-correction) → Parler TTS—built with FastAPI and Docker, with zero malformed commands reaching hardware.