— ALI JAVANI
AI Researcher &
Software Engineer.
Currently pursuing my M.Sc. in Artificial Intelligence (IASD) at Université Paris Dauphine - PSL. Specializing in Large Language Models, Reinforcement Learning, and high-performance Machine Learning systems.
Latest Work: Quantized ML on radiation-hardened FPGAs for High Energy Physics at CERN.
Experience & Research
Research Intern (Quantized ML on FPGA)
CERN • Geneva, Switzerland
- ▹Designed a mixed-precision Autoencoder for the LHCb PicoCal calorimeter, compressing signal pulses (32 samples → 2 latents).
- ▹Implemented Quantization Aware Training (QAT) using QKeras and hls4ml, deploying on radiation-hardened FPGAs with O(10) ns inference latency.
- ▹Diagnosed 'Dying ReLU' convergence failures, optimizing architecture for a 4x reduction in size without accuracy loss.
Research Assistant (ML in Finance)
RiskLab - University of Toronto • Remote
- ▹Explored stability selection and ensemble feature importance methodologies for robust financial ML feature engineering.
- ▹Assessed novel VIX-driven conditional correlations via GRF to reduce hedge fund volatility versus standard factor models.
- ▹Contributed to the RiskLabAI (PyPI) open-source package by implementing Lopez de Prado's ML techniques.
Quantitative Researcher & Co-Founder
Wave Technologies • Isfahan, Iran
- ▹Designed a distributed PyTorch training platform featuring logging, crash recovery, and hardware-efficient parallel training.
- ▹Implemented LSTM, Autoencoder, and Transformer-based models for dynamic and static financial portfolio optimization.
- ▹Built a Python-MQL bridge for seamless model integration, enabling rapid testing and production with caching acceleration.
Back-end Developer Intern
Divar • Tehran, Iran
- ▹Implemented Kubernetes and Docker for scalable deployments and isolated development environment setups.
- ▹Integrated Redis and Celery for asynchronous task management and set up CI/CD pipelines with comprehensive unit testing.
Technical Arsenal
A comprehensive overview of the frameworks, languages, and infrastructure tools I use to build autonomous agents and robust engineering systems.
Machine Learning & Data
MLOps & DevOps
Programming Languages
Databases
Web Development
CAD Tools & HDLs
Featured Architecture
A selection of my academic research, full-stack applications, and experimental AI agents.
WeCare Recommender Systems
Ranked #1 among M2 Master 2025 groups. Implemented and ensembled advanced matrix completion models including Neural CF (NeuMF), Deep-MF, bias-aware ALS, and Graph Neural Networks (GCN/GAT).
Nucleus Sampling LLM Engine
Replication of 'The Curious Case of Neural Text Degeneration'. Built a custom generation engine using Hugging Face Transformers to evaluate top-p, top-k, and beam search decoding strategies on Qwen and GPT-2 models using KV caching.