Peter Massih
I do ML research and release it as software. Research on vision-language models at NEC Laboratories America with Dr. Eric Cosatto. Production AI in financial services.
Background
- NEC Laboratories America, Machine Learning Research Intern2025–2026
- Bank Lombard Odier, Software Engineer Intern, AI/ML2025–2026
- Ageospatial, Full-Stack AI Engineer Intern2024
- EPFL, MSc in Computer Science2023–2026
- ETH Zurich, exchange year2022–2023
- EPFL, BSc in Communication Systems2020–2023
Publications
SQuID: A Benchmark for Quantitative Spatial Reasoning on Satellite Imagery
P. A. Massih, E. Cosatto, M. R. Min · Preprint, arXiv:2601.13401, 2026 · arXiv →
Three Modalities of Production AI in Financial Services: Retrieval, Generation, and Detection
P. A. Massih · Master's thesis, EPFL, 2026 · DOI →
Selected projects
3D-BlockGen: turned text into buildable LEGO models with a two-stage diffusion model (shape, then color) trained on 542,292 voxelized Objaverse samples. It beats single-stage variants on IoU, F1 and color.
LLM Teaching Assistant (EPFL-TA-Meister): fine-tuned Llama-3-8B with SFT and DPO, raising preference alignment on about 800 held-out EPFL course pairs from 55% to 63%, then shrank it 5.8x with 4-bit GPTQ.
Reasoning-Model Paraphraser: more than doubled diversity over BART (BLEU diversity 0.51 vs 0.23) at similar BERTScore (0.95 vs 0.96) by fine-tuning DeepSeek-R1-Distill-Qwen-7B with LoRA.
RL on Mountain Car: benchmarked DQN agents with auxiliary rewards and random network distillation, and cut training from 300 to 200 episodes with a direction-aware reward.