Iago Pires software engineer portfolio
01 · HERO
> whoami iago pires :: software engineer > cat bio.txt i build software. lately, software that talks back. five years across frontend and backend, now focused on ai in production: agents, eval workflows, and integrations with external systems. typescript and python in equal measure. >
Skills and experience
02 · STATS · SKILLS · EXPERIENCE
5+
years shipping
4
companies
3
continents (br · de · us)
∞
shareholder value delivered
— skills —
core
typescript · python · javascript · react · next.js · fastapi · node
ai
agents · llms (gpt · claude · llama) · rag · eval & tracing · embeddings · vector
search
infra
aws · lambda · kafka · docker · serverless · distributed systems
— experience —
2025 — NOW
Datagrid AI · Procore
Software Engineer · ai agents executing workflows across Procore / SharePoint /
Notion · OAuth + tool orchestration · eval & tracing · acquired by Procore · SF
(remote)
2023 — 2025
MVST.
Fullstack · Akina Health (€5M+ funded), RedCare pharma, Zurhost (70K+ DAU) ·
React/Next/RN · Munich (remote)
2023 — 2024
Motorola Research
AI in software testing · RAG + LLaMA pipeline for Android device QA
2022 — 2023
Freelance
crypto/metaverse SPAs · MERN inventory · serverless on AWS Lambda
Personal projects
03 · PERSONAL PROJECTS
01 grind
CLI · Agents
Local control plane for parallel coding
agents
. Plan, run, validate, integrate.
Go, JSON specs, multi-backend →
↳ github.com/iagopiresdev/quest
[ wanted ]
02 lorem-one — wanted —
Web
Lorem ipsum dolor sit amet. Placeholder for a side project.
TypeScript, Next.js →
↳ shipping soon
[ wanted ]
03 lorem-two — wanted —
Tool
Consectetur adipiscing elit. Placeholder for another experiment.
Python, FastAPI →
↳ shipping soon
Experiments
04 · EXPERIMENTS (./playground/)
attn-viz
Browser attention head visualizer.
tok-stream
Streaming tokenizer playground.
rag-lite
Tiny in-browser RAG demo.
Local inference rig
05 · LOCAL INFERENCE (the rig)
qwen 3.6 27b · Q5_K_XL
a 3090 humming under the desk. building toward 4×3090 → 96gb vram for the bigger
open models.
slot 0
RTX 3090
24 GB
● ACTIVE · 22 tok/s
slot 1
RTX 5080
16 GB
○ idle
slot 2
RTX 3060
12 GB
○ idle
slot 3
[ wanted ]
RTX 3090
— goal —
22
tok/s
19.4gb
vram used
32k
ctx window
61°c
gpu temp
Resume and contact links
06 · RESUME (./resume.pdf)