AI SaaS · Multi-Tenant · Multi-Agent · Finance & Trading
Two live SaaS — stox.my and TradeClaw — plus a 6-persona multi-agent runtime in production for RoboForex. Four years, paying users, sub-100ms reads.
Kuala Lumpur, Malaysia
By the numbers
$10M → $200M
AUM growth
Inter-Pacific Asset Management · ~1.5 years
$50K → $200K
Monthly net profit
Trader portal · within 1 year
~400%
Marginal profit lift
Salmi Niaga · systems and unit-economics discipline
15+
Production apps
Dashboards, signal bots, RAG agents, contest engines
1.4s → 80ms
p50 latency tuned
SprintBo bot /ranking · D1 + KV across 3 surfaces
< $5
Monthly infra cost
SprintBo · cron-driven, idempotent, zero ops headcount
What I do
01
Stock analytics SaaS, multi-factor screeners, watchlists, AI-assisted alpha discovery. Real-time pricing pipelines, hand-written SQL, sub-100ms reads on hot queries.
02
Community apps with points, leaderboards, and social loops — like the Gold Traders portal. Contest platforms that pull live standings from sources with no public API. And a different kind of chatbot: dynamic, multimodal agents that talk to each other while humans watch and step in.
03
Spec, design, code, deploy, monitor, iterate. Smallest useful MVP, validate with real users, then scale. Highest-leverage work first. Founder posture — even inside a bank.
Selected work
Live production systems and open repositories. The full archive lives on GitHub.
Flagship · live SaaSCase study
Solo · backend + frontend + vision-LLM · live subscription product
AI-powered trading signals SaaS. FastAPI + React, multi-tenant subscription product, vision-LLM chart parsing across multiple asset classes. Live paying users. The full shape of a modern AI SaaS — auth, billing surfaces, agent inference, the lot.
Flagship · live SaaSCase study
Solo · founding engineer · 0-to-1 to paying users
Stock analytics & AI alpha-discovery SaaS for Malaysian markets. Real-time Bursa pricing, multi-factor screener, watchlists, AI-assisted alpha discovery. Edge-first, sub-100ms reads on hot queries. Founding engineer, 0-to-1 to paying users.
Flagship · live multi-agent runtime
Solo · persona system + RAG + vision · production at a regulated broker
Six personas (Burhan, Colonel, Benjamin, Brobo, Tony, Leha) converse inside one Telegram bot while humans observe and step in. Each agent holds its own persona, memory, and modality. Backed by RAG with bge-m3 embeddings, vision-LLM, query rewriting, and multi-tenant routing on Python / FastAPI / AWS. Production for a regulated broker.
ProductionCase study
Solo · 1 year · replaced what would have been a 3-engineer + PM build
Trader-facing portal with AI signals, leaderboards, community automation. React 19 + Hono, 15+ REST endpoints, Durable Objects rate limiting, 4-mode contest engine with tamper-evident credit-integrity audit trail. Lifted client trading-desk monthly net ~$50K → $200K within 1 year.
Signals SaaS · live
Solo · 5 asset classes on one signal engine and schema
Telegram signals across Crypto, Forex, Commodities, Indices, Stocks. On-demand chart breakdowns via vision-LLM parsing. Consistent schema across asset classes — one signal engine, five markets.
Cost-disciplined SaaS
Solo · bot + Mini App + landing on one worker · sub-$5/mo hosting
Bot /ranking p50 1.4s → 80ms via D1 source-of-truth + KV cache shared across bot + Mini App + landing. Operator pause/close/cancel with tamper-evident final_snapshots. Hosting under $5/month.
MAS-licensed onchain
Full-stack engineer · 5 role portals · MAS-licensed infra
White-label workspace for tokenised product issuance on MAS-licensed infra. Five role portals (Issuer, Distributor, Investor, Ops, Admin) with RBAC and audit-ready data model. Onchain via Canton smart contracts.
Open source · npm v3.9.2
Solo maintainer · npm package + GitHub Action · public eval harness
Claude Code plugin + GitHub Action transcript linter. Skills, commands, hooks, agents, instinct packs, synthetic checks — structured self-improvement loops with eval-driven verification.
In production right now
Every tile below is a Playwright screenshot of an actual deployed page that anyone can visit. Re-run npm run screenshots to refresh.
LiveTradeClaw
Verified track record · +129.66% total return · 42.1% win rate · 1,617 resolved signals
Livestox.my
Founding backer deck · live KLSE watchlist with MAYBANK, PBBANK, TENAGA, CIMB, IOI
LiveHydraxRail
Institutional marketing landing routing into five role-scoped portals · Canton-rail integration
LiveTradeClaw
Live Backtesting Engine · XAUUSD on H1 · equity curve, strategy comparison, real Binance + Stooq data
LiveTradeClaw
Signal Performance Leaderboard · 2,772 signals tracked across 26 pairs · per-pair hit rates
Livestox.my
Market Screener · daily-updated KLSE screening with structured fundamentals, technicals, and signal filters
HydraxRail · 5 portals
Career line
2024 — now
Built a trader portal (apps, AI signal tools, leaderboards, community automation) that lifted average monthly net ~$50K → $200K within 1 year — replaced what would have been a ~3-engineer + PM build. 15+ production apps across investor dashboards, signal bots, RAG agents, weekly contest engines.
2023 — 2024
Founded an AI-first venture. Secured seed investment from Cradle and Nexea. Owned product, engineering, and GTM end-to-end across Python, TypeScript, React, PostgreSQL, AWS — first-engineer posture from day one.
2021 — 2023
Drove ~400% increase in marginal profit through better systems, automation, and execution discipline. Built Python analytics dashboards and reframed P&L from gross-revenue chasing to unit economics.
2020 — 2021
Contributed to AUM growth from ~$10M to ~$200M in ~1.5 years through data-driven research and screening. Built data pipelines, factor models, and analytics dashboards in Python and SQL.
Best Shariah Equity Malaysia 2020 — Lipper / Refinitiv
2016 — 2020
Fund accounting, treasury operations, financial modelling. Excel/VBA automation that compressed reporting cycles — first hands-on exposure to the data shape behind investor analytics.
Stack
AI & LLM (primary)
TypeScript & Node (primary, ~5y)
React Frontend (primary)
Python & Backend (primary)
Databases (primary)
AWS & Containers
Edge & Distributed
Crypto / Onchain (breadth)
Contact
I read every message. Responses typically same-day on weekdays. If it is not a fit, I say so directly and point you to someone who is.
+60 11 6983 3882· phone / WhatsApp
For agency or NDA briefs, send a one-paragraph summary first.
