Hey, I'm Saeid. A product-minded engineer
“Ship small, ship often, learn from mistakes.”
- Product / Dev-ish – I live at the intersection of product, engineering, and data
- I enjoy:
- turning fuzzy ideas into shippable products
- designing flows that hide complexity from non-technical users
- building systems where data → decisions → feedback loops are explicit
- Languages: 🇮🇷 فارسی (native), 🇬🇧 English (working)
AI-first Dev & Product Tools
- 🧪 A chat-driven IDE where non-engineers can:
- describe what they want in natural language
- let agents manage files, git, tests, and refactors
- get explanations, diffs, and “why” behind every change
Signal → Outcome Engine (Trading)
- Pipelines that:
- ingest signals (entry, SL, TP1/2/3, time rules)
- track real market data with gap-handling & late-activation logic
- label each signal with a robust outcome (TP/SL/expired/confidence levels)
- feed clean labels into analytics & strategy iteration
I care more about architecture & UX than any single framework, but these are my usual tools.
- Product & UX: problem framing, discovery interviews, opportunity mapping, roadmapping
- Backend: Python (FastAPI / Django), Go,
- Data & infra: PostgreSQL, Redis, Metabase
- Frontend: React, TypeScript, component-driven UIs
- Delivery: Docker, GitHub Actions, CI/CD, feature flags, A/B testing
- AI: Claude / GPT, agentic workflows, prompt & tool design
I treat my work as a sequence of small product experiments, not just tickets.
-
🎯 Current focus
- Design flows so non-devs can still feel in control of changes
- Close the loop between signal performance and product decisions
-
🧬 How I like to build
- Talk to users early, design backwards from their mental model
- Start from domain language → state machines → APIs → UI
- Keep a bias toward small, reversible changes and strong telemetry
A lightweight log of things I care about shipping. I occasionally update this.
- 2025-2026
- Iterating on a chat-driven IDE prototype with real users
- Hardening the signal outcome engine (gaps, late activation, confidence levels)
- Standardizing patterns for “agents that can touch production code” safely
- Happy in the space between PM, design, and engineering
- I enjoy:
- pairing with engineers on architecture & DX
- pairing with PMs on discovery and prioritization
- talking to users and reading between the lines
If you’re working on:
- AI-native dev tools
- tools for non-technical users to control complex systems
- trading / data products where labeling & feedback loops matter
…feel free to reach out.
- 💼 LinkedIn: Saeid-Sisakhti
- 🐦 Twitter / X: @Ssisakhti
- 📝 Virgool / Blog: My Persian Blog
Thanks for scrolling this far.
I’m probably somewhere between shipping a tiny experiment and refactoring an agent so it doesn’t break prod 🙂