Algo Trading2025
Order Router & Execution Engine
Low-latency order routing service with risk checks and broker abstraction across Alpaca, IBKR, and Binance.
$80M live volume · 38ms p99
RustPythonFastAPIPostgresRedis
I help startups ship production-grade systems —
from MVP to 100K+ users.
I'm Hasan Javed, a senior full-stack & AI engineer with 9+ years shipping fintech platforms, LLM-powered apps, and high-throughput APIs in Python, Go, and Rust. 50+ projects delivered, including trading systems that have moved $80M in 2025 alone.
Senior Full-Stack Engineer
Replies within 24 hours·Free 30-min intro call — no pitch, just your problem
9+
Years shipping
50+
Projects delivered
$80M
Trading volume '25
~/services/order-router.py
live
from fastapi import FastAPI, Depends from app.exec import Router, Risk from app.brokers import alpaca, ibkr app = FastAPI(title="order-router") @app.post("/v1/orders") async def place(o: Order, r=Depends(Risk)): await r.check(o) # 38ms p99 fill = await Router(o).execute() return { "id": fill.id, "avg_px": fill.px }
About
Engineer who ships, not just codes.
I'm a senior full-stack engineer focused on the finance sector. Over the last nine years I've built fintech platforms with Stripe & Plaid, AI-powered apps on OpenAI / Gemini / Claude / Grok, and high-performance APIs serving millions of requests.
I work end-to-end — product discovery, architecture, implementation, infra, and post-launch ops. Most of my work lives somewhere in the stack between Python / Go / Rust services, React / TypeScript front-ends, and AWS (Lambda, ECS/EKS, RDS, AppSync).
When the brief is fuzzy, I help shape it. When the deadline is tight, I cut scope honestly. I write code my clients can keep maintaining after I hand it over — that's the part I care most about.
- AvailableSelective contracts · part-time / full-time
- Remote-firstDistributed teams across US / EU / APAC
- Stack depthPython · Go · Rust · TypeScript
- BiasShip small, ship often, measure everything
Education
MS, Artificial Intelligence · Air University2022–2024
BS (Hons), Software Engineering · University of Gujrat2012–2016
./hasan_javed --role="senior fullstack"
Hasan Javed
Full-Stack & AI Engineer · Fintech focus
9+
Years shipping
50+
Projects delivered
10K+
Daily users served
$80M
Trading volume '25
What I build
Eight engineering domains. One senior operator.
Most engagements pull from two or three of these. I'm happy to scope something tight, audit an existing system, or own a long-running platform from architecture through ops.
Production-grade APIs
REST & GraphQL services built to scale, with clean docs and observability from day one.
- FastAPI · Django · NestJS · gRPC
- Postgres · Redis · DynamoDB
- OpenAPI / typed SDKs
AI & LLM integrations
Pragmatic AI features that actually move metrics — not demos.
- OpenAI · Claude · Gemini · Grok
- RAG, agents, evals
- n8n + custom orchestration
Fintech & payments
Money movement, accounting, and compliance done right the first time.
- Stripe · Plaid · PayPal · Square
- QuickBooks · Xero · Wave · Intuit
- Reconciliation pipelines
Algo & quant trading
Backtested strategies, risk-aware execution, and broker integrations.
- Backtrader · Zipline · QuantConnect
- MetaTrader 5 · MQL5 · TradingView
- Alpaca · IBKR · Binance · nautilustrader
ML for finance & data
Models that survive contact with real markets — and Parquet at scale.
- LightGBM · XGBoost · LSTM · TCN
- Self-supervised learning
- PyArrow · Parquet · Apache Arrow
Full-stack web apps
End-to-end product builds, from MVP to a system you can hand to a team.
- React · Next · TypeScript · MUI
- Django/FastAPI + React · Laravel/Vue
- Auth, RBAC, billing, admin
Cloud, DevOps & infra
AWS-first, Docker-native, observable by default.
- Lambda · ECS · EKS · RDS · AppSync
- Docker · GitHub Actions · IaC
- Logs · metrics · tracing
Plugins & automation
Browser extensions, Figma plugins, and quiet little tools that save hours every day.
- Chrome extensions · Figma plugins
- Web scraping & automation
- Lovable · v0 · Replit Pro · Figma Make
Stack
A toolbox built around the problem, not the trend.
I'm fluent across the stack and pick tools to fit constraints — team, deadlines, ops, latency budget — not the other way around.
Languages
06Python
Go
Rust
TypeScript
JavaScript
Java
Backend
08FastAPI
Django
Node.js
NestJS
Laravel
Spring
GraphQL
Kafka
Frontend
06React
Next.js
Vue
Angular
Tailwind
MUI
Data & Cloud
08Postgres
MySQL
MongoDB
Supabase
Redis
AWS
Docker
Kubernetes
AI / ML
04OpenAI
Claude
Gemini
Pandas
Fintech
06Stripe
Plaid
Polygon
Binance
Solana
TradingView
AlpacaIBKRQuickBooksXeroWaveAccountEdgeBacktraderZiplineQuantConnectMetaTrader 5MQL5Qlibn8nDigitalOceanAppSyncEKSECSLambdaAlpacaIBKRQuickBooksXeroWaveAccountEdgeBacktraderZiplineQuantConnectMetaTrader 5MQL5Qlibn8nDigitalOceanAppSyncEKSECSLambda
Journey
Nine years, one steady arc.
Started shipping client work in 2016. Today I focus on fintech, AI/LLM systems, and high-throughput services in Python, Go, and Rust.
- Foundations2016
Started shipping for clients
Freelance · WebBegan full-time freelance work building Django and Laravel platforms for SMBs — my first taste of owning end-to-end product delivery.
- Fintech2018
Joined the finance sector
Fintech consultancyMoved deep into fintech: payment integrations (Stripe, PayPal, Square), accounting APIs (QuickBooks, Xero), and reporting pipelines on Parquet/Arrow.
- Cloud2020
AWS-native architecture
Multi-tenant SaaSDesigned and ran multi-tenant systems on AWS Lambda, ECS, EKS, and AppSync — observability, IaC, and zero-downtime deploys baked in.
- Quant2022
Algorithmic trading systems
Quant clientsBuilt backtesting and live execution stacks across Backtrader, Zipline, QuantConnect, and MT5/MQL5 — integrated with Alpaca, IBKR, and Binance.
- AI2023
AI & LLM integrations
Multiple SaaSShipped AI features on OpenAI, Claude, Gemini, and Grok — agents, RAG, evals, and custom orchestrations on n8n and bespoke runtimes.
- Scale2024
Content platform · 10K+ daily users
AI SaaSArchitected and shipped an AI-powered content platform that now serves over ten thousand daily active users in production.
- Outcome2025
$80M trading volume in nine months
Trading platformDelivered execution and risk infra that moved $80M of live volume in Q1–Q3, with a 60% reduction in client-side data processing time.
Selected work
Real systems, real outcomes.
A slice of recent client and product work — mostly in fintech and AI. Details under NDA where applicable.
AI / LLM2024
AI Content Platform
Multi-tenant AI content platform with model fan-out, evals, and a custom orchestration runtime.
10K+ daily active users
Next.jsTypeScriptOpenAIClaudePostgres
Fintech2024
Fintech Reporting Dashboard
Parquet/Arrow-backed reporting layer with Plaid + Stripe ingestion and reconciliation pipelines.
60% faster data processing
PythonPyArrowPlaidStripeAWS Lambda
SaaS2024
JobbyAI
AI SaaS that helps individuals make 10X progress in their careers — resume scoring, job match, interview prep.
Vercel · production
Next.jsTypeScriptGemini APITailwind
Algo Trading2023
Quant Backtest Harness
Strategy backtesting & walk-forward analysis layer over Backtrader, Zipline, and QuantConnect.
Mean-reversion + trend following
PythonBacktraderZiplinePandasDuckDB
Fintech2023
Accounting API Sync
Bidirectional sync engine for QuickBooks, Xero, Wave, and AccountEdge with conflict resolution.
Built for SMB accounting SaaS
GogRPCPostgresAWS ECS
AI / LLM2025
Multi-LLM Agent Runtime
Lightweight runtime for tool-using LLM agents with model fan-out, retries, and structured-output evals.
OpenAI · Claude · Gemini · Grok
PythonFastAPIPydanticn8n
Algo Trading2024
TradingView ↔ Plaid Bridge
Webhook bridge translating TradingView signals into broker-native orders with bank-side risk checks.
Production webhook bridge
GoTradingViewPlaidAlpaca
DevTools2023
Figma + Chrome plugin suite
Internal-tooling plugins that automate handoff between design and engineering — saves hours weekly.
Used across 3 design teams
TypeScriptFigma APIChrome MV3
Specialty · Quant & ML Trading
I ship trading systems that move real capital.
Nine years of building quantitative & ML-driven trading systems — from signal research and backtesting to low-latency execution and 24/7 live ops. Not just notebooks: production pipelines that route real orders, with risk, audit and failover wired in from day one.
Strategy R&D
Alpha hunted from price, order-flow, alt-data and LLM-tagged news. Hypothesis → notebook → paper → live, with a kill criterion written before the first backtest.
Execution engines
Low-latency order routers in Rust & Go. Smart routing across venues, iceberg / TWAP / VWAP slicing, fee-aware fills. p99 pre-trade risk under 40ms.
ML models
Gradient-boosted trees, LSTMs and transformer-based regime classifiers for short-horizon forecasting. Feature stores, leakage guards, cross-asset signals.
Backtesting at scale
Walk-forward validation, purged K-fold, tick-resolution replay. Slippage, fees and market impact modelled honestly — no curve-fits to Sharpe-theatre.
Risk & compliance
Pre-trade checks, position limits, drawdown kill-switches, audit trails. Built for real money, not paper — the plumbing you don't see until you need it.
24/7 live ops
Observability, alerting, broker failover, cold-standby replicas. The model is 20% of the work — keeping it running without drift or outage is the other 80%.
Read the $80M case studyEquities · Crypto · FX · Futures
portfolio · live
streaming
Volume routed '25
$80M
Multi-broker, multi-asset
p99 risk check
38ms
Pre-trade in-line
Strategies live
12
Equities · crypto · FX
Uptime SLO
99.95%
24/7 with failover
equity · 90d
+14.2%
strategy
pnl
sharpe
max dd
momentum_btc_1h
+18.4%
2.31
-6.8%
mean_rev_eth_5m
+11.2%
1.92
-4.1%
pairs_fx_eu_basket
+7.8%
1.64
-3.2%
last fill · 00:12 agoindicative · not a solicitation
Platforms & tooling
BacktraderZiplineQuantConnectNautilusTraderMetaTrader 5MQL5QlibAlpacaIBKRccxtBinance APIPolygon.io
Results
Numbers from real production work.
Outcomes from recent engagements. Architecture diagrams, post-mortems, and reference calls available under NDA.
$80M
Live trading volume
Order routing & execution infra moved $80M in Q1–Q3 2025.
10K+
Daily active users
AI-powered content platform serving 10K+ DAU in production.
60%
Faster data processing
Fintech reporting dashboard cut client-side processing time by 60%.
1M+
Requests / day handled
High-throughput APIs sustained above one million requests per day.
Words from clients
Three teams, three outcomes.
Names redacted for confidentiality.
Reference calls available on request.
“Hasan delivered a trading system that beat our throughput targets and shipped on time. He owns the work end-to-end — rare at his rate, rarer still at the level of polish.”
$80M Q1–Q3 volume
M. Kowalski
Founder & CTO · Quant trading desk · EU
“Code we could actually keep maintaining after handover. Tests, docs, a clean deploy story, and an ops runbook. Best contractor we've worked with in three years.”
10K+ DAU shipped
A. Reyes
CTO · AI content SaaS · US
“He didn't just build features — he asked the product questions our team kept ducking and saved us from two expensive wrong turns in the first month.”
60% faster reports
P. Tanaka
Head of Engineering · Accounting platform · APAC
Engagement
Three ways to work together.
Every project starts with a free 30-min scoping call. After that, pick the structure that lowers your risk — not mine.
Hourly
Audits, code reviews, focused fixes
$35/ hr
- Paid by the hour, billed weekly
- Async-friendly, no minimum lock-in
- Best for short, well-scoped work
Most popular
Fixed-scope project
MVPs, integrations, focused builds
from $4K/ project
- 30-min scoping call → written proposal
- Fixed price, fixed timeline, milestones
- Most common engagement — lowest risk
Retainer
Long-running platforms, fractional CTO
from $3.5K/ wk
- 10–20 hrs / week, predictable cadence
- Architecture, builds, on-call, hiring help
- 3-month minimum, monthly rolling after
All tiers include: NDA + IP assignment · clean docs · test coverage · post-launch handover
FAQ
Answers before the call.
The questions I get most often before a kickoff. Anything missing? Drop it in the contact form — I'll answer and add it here.
Two-week scoped sprints (~$2.5K) for audits, architecture reviews, or focused builds. Below that, a 1-hour paid consultation is usually the right shape.
Let's build
Have a project worth shipping?
I'd love to hear it.
Send a short brief with your goals and timeline. I respond within 24 hours with a clear next step — whether that's a call, a proposal, or pointing you to someone better suited.
Also open to senior / staff full-time roles — remote, EU/US time zones. Mention it in the brief.