About
.ify is a growing set of focused agentic tools built on open source, managed and developed by Hossein Zargar.
Hossein is a software developer exploring how data-driven computational design connects across disciplines through scalable application. His current role as an AI Software Developer focuses on developing next-generation tools that leverage current advancements in machine learning and large language models for informed building design decisions. He holds a Ph.D. in Architectural Engineering from Penn State, where his research focused on bringing robotic fabrication and constructability knowledge into early-stage computational design optimization.
Selected work
- 01
Agentic data orchestration in design workflows
Workshop, Advances in Architectural Geometry (MIT) · 2025
Workshop page - 02
Design exploration of robotically assembled cross-laminated timber houses with sequential path planning
Automation in Construction · 2026
- 03
Incorporating Robotic Constructability in Computational Design Optimization
Ph.D. dissertation, Penn State · 2024
Repository - 04
Agent-based modelling for early-stage optimization of spatial structures
International Journal of Architectural Computing · 2023
- 05
Deep learning in early-stage structural performance prediction
IASS Symposium, Guilford · 2021
Experience
- AI Developer IIWalter P Moore2025 — present
- AI DeveloperWalter P Moore2024 — 2025
- Data Science InternWalter P Moore2022 — 2024
- Research AssistantPenn State University2021 — 2024
Education
- Ph.D., Architectural EngineeringPenn State University2021 — 2024
- M.Sc., Architectural Technology & Digital DesignUniversity of Tehran2016 — 2019
- B.Sc., Civil EngineeringUniversity of Tehran2011 — 2016
Skills
ML & optimization
Training and tuning models, with multi-objective and black-box search over large design spaces.
PyTorchTensorFlowscikit-learnpymooOptunasurrogate models
LLMs & agents
Building and evaluating agentic LLM workflows for design and performance decisions.
prompt engineeringMCP / agentic workflowsevaluation & guardrails
AEC & geometry
Parametric modeling and structural analysis across the Rhino and Grasshopper ecosystem.
Rhino / GrasshopperRhino.ComputeKaramba3DKangarooIFC / mesh pipelinesRevit / Dynamo
Full-stack & APIs
Shipping the services and interfaces that put these models in front of users.
PythonFastAPIFlaskReactDockerCI/CDpytest
Data & cloud
Moving, storing, and visualizing the data these workflows run on.
pandas / NumPy / SciPyParquetPlotlyMongoDBSQLAWS S3