Ayman Sayed

AI & ML Developer

Building intelligent systems at the intersection of software engineering and machine learning

Washington DC, USA

Ayman Sayed

Updates

  1. Ongoing

    Reinforcement learning for multi-year ENSO events

    Working on a reinforcement learning project to drive climate modes toward more multi-year El Niño or La Niña events.

Featured Projects

Selected projects exploring real-world applications of machine learning and AI.

Chart VLM

Pre-Deployment

Developed & fine-tuned Vision Language Model (Qwen2-VL) using PEFT & Hugging Face TRL library on ChartQA dataset to answer questions based on images of charts, enabling automated data analysis.

  • Python
  • PyTorch
  • Quantization
  • VLM
  • LoRA
  • HuggingFace

ENSO Prediction using RL

Pre-Deployment

Research project under Dr. Maria Molina, designing & training a Reinforcement Learning agent with Stable-Baselines3 & XRO model to induce multi-year ENSO events, increasing control efficacy by 48%.

  • Python
  • Gymnasium
  • Stable-Baselines-3
  • PPO
  • XRO Model

Optimal Transport Knowledge Distillation

Pre-Deployment

Developed a knowledge distillation framework using Sinkhorn Optimal Transport with a jointly optimized learnable cost matrix to efficiently compress vision models while preserving semantic class relationships.

  • LangGraph
  • Python
  • Groq
  • StateGraph
  • ReactAgent
  • LangChain tools
  • LangSmith

Tap Code

Pre-Deployment

Agentic AI system that generates full-stack application code from input prompt.

  • LangGraph
  • Python
  • Groq
  • StateGraph
  • ReactAgent
  • LangChain tools
  • LangSmith

Potato Disease Analyzer

Pre-Deployment

Website & Android app that identifies & classifies disease in potato plants by analyzing images of leaves using CNN-based deep learning models.

  • Python
  • TensorFlow
  • Keras
  • CNN
  • FastAPI
  • Android
  • GCP

Experience

My professional experience in research and industry.

University of Maryland, College Park

Graduate Research Assistant, PARETO Group

College Park, MD, USA

  • Developed & trained a Reinforcement Learning agent on the XRO climate model to induce sustained ENSO events by controlling 9 coupled ocean–atmosphere modes with physics-based dynamics; discovered critical preconditions for multi-year El Niño/La Niña events through learned policy analysis.
  • Extended DeepMind's GenCast diffusion model with gradient-based guidance for controllable tropical cyclone trajectory forecasting over 4-day horizons; designed a parallel ReadOut GNN decoder for binary storm classification from diffusion latents with dynamic class weighting for <1% positive class ratio.
  • Implemented inner latent optimization within DPM-Solver++ sampling using gradient clipping, selective spatial masking, and local affine warping for stable multi-step guided generation; built an ERA5-to-storm-mask data pipeline processing 0.25° global reanalysis data with variable-radius cyclone annotations.

Samsung Research Institute Bangalore

Senior Software Developer, Platform Intelligence

Bangalore, KA, India

  • Fine tuned Gauss AI model using QLoRA to detect unauthorized access and potential threat environments during interactions with sensitive applications.
  • Built Agentic AI workflow for SEAL (Smart Efficient App Lock) model to identify unauthorized access to device.
  • Developed out-of-box on-boarding service that seamlessly sync WiFi profiles and Samsung accounts on PC from Android devices during first-time PC startup.
  • Integrated Knox Matrix (KM) Windows on Samsung Cloud, Internet, and Notes for seamless end-to-end encrypted sync of data between Android and Windows devices.

Samsung Research Institute Bangalore

Software Developer, On Device AI

Bangalore, KA, India

  • Developed Key Provisioning system providing hardware backed root of trust on Samsung PC’s and successfully commercialized it with 2 Million+ active users.
  • Engineered security validation of TPM, Secure Boot, Kernel DMA protection & Memory Integrity for Knox suite of Windows Security.
  • Implemented REST handlers to facilitate server connections for Knox Matrix; improved code quality & stability, achieving 35% performance increase.
  • Built framework linking Trustchain service with Big Data server to stream event data & enable crash reporting.

Samsung Research Institute Bangalore

SDE Intern, Visual Intelligence

Bangalore, KA, India

  • Developed app to analyze capabilities of multiple cameras of connected mobile devices.
  • Built a Flask dashboard that allows operations such as search by ID or any of 400 properties, display vendor tags, compare cameras across devices.

Education

My academic background.

Master's in Applied Machine Learning

University of Maryland, College Park

CourseworkPrinciples of ML · Computing Systems for ML · Principles of Data Science

Bachelor's in Computer Science

National Institute of Technology, Rourkela

CourseworkData Structures & Algorithms · OS · Computer Architecture · Cloud Computing · Machine Learning · Artificial Intelligence

Skills

Technologies and tools I work with.

Programming
  • C
  • C++
  • Python
  • C#
  • Java
  • HTML
  • CSS
  • JavaScript
  • Bash
  • Dart
App Frameworks
  • UWP
  • .NET
  • Android Studio
  • WPF
  • Bootstrap
  • NodeJS
  • React
Data Stack
  • Tableau
  • SQL
  • MongoDB
  • NumPy
  • Pandas
  • MatPlotLib
  • Plotly
Machine Learning
  • TensorFlow
  • PyTorch
  • Keras
  • LangChain
  • LangGraph
  • LLM
  • RAG
  • NLP
  • CV
Technologies
  • Git
  • Docker
  • Jenkins
  • Jira
  • REST APIs
  • Linux