If you need an indicator, hire anyone. If you need a system that survives production, keep reading.
Most trading devs have built an EA. I've built prop firms, and I still run them.
I'm an Algorithmic trading systems developer, having experience with MetaTrader (MT5/MT4, MQL5/MQL4), Python, and quantitative infrastructure, Expert Advisors, trading bots, prop firm platforms, backtesting engines, and AI signal generation for forex, crypto, and equities.
I build these systems end to end: strategy logic, execution layer, risk engine, and the infrastructure that keeps it running when real money is on the line.
Where I've done it:
Prop firms (3+ built, currently managing live), challenge and evaluation engines, drawdown and rule enforcement, trader dashboards, payout logic, MT5 integration. AI-driven signal generation systems. Custom indicator platforms. Real-time alerting infrastructure. Autonomous systems that run without me watching them.
The stack:
• MQL5 / MQL4 - Expert Advisors, custom indicators, execution logic, backtest optimization
• Python - strategy research, backtesting, broker & exchange APIs, live execution engines
• AI/ML - signal generation, model integration, decision layers
• The layer around it - FastAPI/Django APIs, dashboards, Telegram/Discord alerts, deployment
What actually separates me:
Production experience. I've watched traders find the gap in a rule engine I wrote. I've dealt with latency, slippage, broker quirks, edge cases in breach logic, the things that never appear in a backtest and always appear in week two. That's the difference between code that works and a system that holds.
Tell me what you're building. I'll tell you straight whether it's feasible, where the scope will bite you, and what it'll actually take, before you spend anything.
API Integration
AI Bot
AI Trading
AI Development
AI Data Analytics
AI App Development
AI Model Integration
Trading Automation
TradingView
MetaTrader
MQL 4
MQL 5
MetaTrader 4
MetaTrader 5
Algorithm Development
Financial Trading
Python
Quantitative Analysis
Machine Learning
Crypto Exchange Platform
Hassan M.
Lahore, Pakistan
$30/hr
4.2
8 jobs
An AI demo can look great until real users start using it. Then things like wrong answers, slow responses, high costs, data issues, and scaling problems start to matter. Some systems I have worked on handle 1M+ monthly requests.
A good AI system needs more than an LLM. It needs the right data, RAG, AI agents, APIs, databases, integrations, security, and a backend that can handle real traffic.
This covers LLMs, GenAI, NLP, automation, AI SaaS, vector search, and cloud deployment.
Backed by 7+ years of experience building AI and software products for businesses across different industries.
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WHAT YOU WILL GET:
→ AI AGENTS AND AI AUTOMATION
• AI agents that connect to your tools, APIs, CRMs, databases, calendars, emails, Slack, dashboards and internal workflows
• Automations for lead qualification, customer support, reporting, document processing, research, operations and decision support
• Agentic workflows using LangChain, LangGraph, tool/function calling, structured outputs, memory, human approval and guardrails
→ LLM CHATBOTS, RAG AND KNOWLEDGE SYSTEMS
• Custom chatbots and assistants trained on documents, websites, SOPs, support tickets, PDFs, databases or knowledge bases
• RAG pipelines with embeddings, semantic search, reranking, citations, metadata filters, access control and answer quality checks
• Vector database integration with Pinecone, FAISS, Chroma, pgvector, Weaviate or Azure AI Search
→ AI POWERED SaaS AND FULL STACK PRODUCTS
• Complete AI products using Python, FastAPI, Node.js, React, Next.js, TypeScript, PostgreSQL, MongoDB, Redis,and cloud services
• Multi-tenant dashboards, subscription flows, admin panels, user roles, analytics, usage tracking and secure API layers
• AI features integrated into existing SaaS platforms without breaking your current workflow
→ ML, NLP AND DATA DRIVEN SYSTEMS
• NLP pipelines for classification, extraction, summarization, sentiment analysis, transcription, translation and text intelligence
• ML workflows from data preparation to model training, evaluation, deployment, inference APIs and monitoring
• Real time AI systems using WebSockets, streaming APIs, Whisper/STT, LLM APIs and event driven backends
→ PRODUCTION DEPLOYMENT AND AI ARCHITECTURE
• Cloud deployment on AWS, GCP, Azure, DigitalOcean, Docker, CI/CD, serverless and containerized backends
• Logging, error handling, rate limits, retries, cost optimization, prompt/version control and observability
• Practical architecture decisions so your AI system is maintainable, scalable and cost effective
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REAL PRODUCT EXPEIENCE
• Built production AI/backend systems handling 1M+ monthly requests with scalable APIs, cloud deployment and monitoring
• Worked on real time AI transcription and translation workflows using FastAPI, WebSockets, Whisper/STT, LLMs and AWS
• Built AI assisted hiring and matching workflows that reduced manual screening and improved candidate job matching
• Developed marketplace, healthcare and SaaS platforms with RBAC, secure APIs, dashboards, automation and data heavy workflows
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WHY CLIENTS WORK WITH ME
I think in business outcomes, not just tools
I own backend, AI, data, frontend, and deployment in one place
I build systems that survive real users, edge cases, and scale
I communicate clearly with updates, screenshots, videos, and next steps
I focus on reliable delivery, not AI hype
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TECH STACK
AI/LLMs: OpenAI, Claude, Gemini, LLama, Mistral, Hugging Face, LangChain, LangGraph, LlamaIndex, CrewAI, Mastra, prompt engineering, AI agents, RAG, embeddings
Vector Search: Pinecone, FAISS, Chroma, pgvector, Weaviate, Azure AI Search, semantic search, reranking
Backend: Python, FastAPI, Django, Flask, Node.js, NestJS, Express.js, REST APIs, GraphQL, WebSockets, microservices
Frontend: React, Next.js, TypeScript, JavaScript, Tailwind CSS, dashboards, SaaS interfaces
Database: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch
Cloud/DevOps: AWS, GCP, Azure, Docker, Kubernetes, GitHub Actions, CI/CD, monitoring, logging
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LET'S BUILD AI SOLUTION
AI chatbot, RAG system, AI agent, automation workflo/w, AI SaaS product, LLM integration, NLP pipeline, or production AI backend, send me a message
I will help you map best approach, identify risks early and build a system that deliver real business value
Machine Learning
Artificial Intelligence
Generative AI
Large Language Model
Natural Language Processing
Python
FastAPI
OpenAI API
Deep Learning
Amazon Web Services
Data Science
Prompt Engineering
Vector Database
LangChain
Automation
AI Agent Development
Django
Azure DevOps
Google Cloud Platform
NumPy
Ali S.
Lahore, Pakistan
$50/hr
4.9
158 jobs
I work with service businesses, agencies, and operations teams whose leads, conversations, quotations, appointments, invoices, tasks, and customer records are scattered across disconnected platforms.
I design CRM and workflow automation that brings these processes together, removes repetitive administration, prevents data errors, and gives teams a reliable system for managing customers and daily operations.
🏆 Top Rated Plus
✅ 100% Job Success Score
⭐ 4.9 rating across 86 ratings
💼 144 completed Upwork jobs
⏱ 3,700+ Upwork hours
🧠 13 years of technical experience
My core platforms include GoHighLevel, HubSpot, n8n, Zapier, Make (Integromat), ActiveCampaign, Zoho CRM, ClickUp, Monday CRM, REST APIs, webhooks, OpenAI, and custom Node.js integrations.
Documented results from recent projects include:
• Reduced automation costs by more than 90% by replacing expensive Zapier workflows with a custom HubSpot–JobTread integration.
• Maintained zero duplicate records while synchronizing jobs, deals, contacts, vendors, tickets, daily logs, and documents.
• Reduced administrative workload by over 80% by connecting ActiveCampaign, Zoho CRM, Zoho Books, Zoho Desk, OnceHub, and Zapier.
• Achieved complete synchronization across CRM, invoicing, payments, scheduling, support, and reporting.
• Delivered bidirectional HubSpot–ClickUp synchronization with zero reported update loops.
• Built AI-powered GoHighLevel workflows that summarize conversations across thousands of CRM contacts.
• Connected approximately 10 operational stages across quotations, orders, purchasing, production, inventory, dispatch, and accounting.
• Integrated QuickBooks, Xero, Sage, Pastel Partner, and Evolution into one operational order-management platform.
I can help you implement:
• GoHighLevel pipelines, opportunities, tags, custom fields, forms, workflows, email, and SMS automation
• HubSpot deals, contacts, companies, properties, dashboards, pipelines, and workflow automation
• n8n, Zapier, and Make workflow development, optimization, repair, and migration
• Lead capture, qualification, assignment, nurturing, and follow-up workflows
• Quotation, contract, appointment, onboarding, invoicing, and payment automation
• CRM migration, data cleaning, field mapping, and pipeline recreation
• Bidirectional synchronization between CRM, project-management, accounting, scheduling, and support platforms
• REST API, webhook, and third-party application integrations
• AI conversation summarization and structured CRM-note generation
• Duplicate prevention, trigger-loop prevention, retries, logging, reconciliation, and error handling
• Custom Node.js middleware where native integrations cannot support the required business process
• Zapier and Make cost audits, including migration to self-hosted n8n or custom integration infrastructure
My process begins with mapping the complete workflow: where information enters, which teams use it, how records move between systems, what conditions trigger the next action, and where failures currently occur.
From there, I design the CRM structure, integrations, automation logic, validation rules, failure handling, and reporting required to keep the process dependable after deployment.
Send me your current workflow, CRM setup, or automation problem. I’ll review the process, identify the gaps, and recommend the right implementation approach.
API Integration
HighLevel
HubSpot
CRM Automation
Automated Workflow
n8n
Zapier
Make.com
Business Process Automation
OpenAI API
ActiveCampaign
Zoho CRM
Salesforce CRM
ClickUp
Data Integration
RESTful API
Node.js
JavaScript
Pipedrive
Data Management
Qaisar N.
Lahore, Pakistan
$30/hr
4.9
217 jobs
Hi, I’m Qaisar a senior System & Cloud Engineer + Full-Stack Developer with 10+ years of hands-on experience helping businesses build, migrate, automate, and scale their technology with confidence.
I work with startups and growing companies that want reliable systems, secure infrastructure, and software that actually works in production not fragile setups or demo-only solutions.
🔹 What I Do Best
Cloud, IT & Systems Administration
Google Workspace setup, administration & complex migrations
(Workspace ↔ Workspace, cPanel/IMAP → Workspace, Google → Microsoft 365)
Microsoft 365, Azure, Windows Server & Active Directory
Email deliverability & security: SPF, DKIM, DMARC, MX, DNS
VMware virtualization, server optimization & infrastructure planning
Backup & disaster recovery with Veeam
Firewalls & networking: pfSense, MikroTik, VPNs, VLANs, load balancing
👉 Result: Secure, downtime-free environments with clean migrations and zero data loss
Full-Stack Development & AI Automation
Build production-ready SaaS apps, dashboards & internal tools
Automate manual workflows using AI & event-driven automation
Integrate AI into real business systems (not experiments)
Tech Stack
Frontend & Backend: React, Node.js, TypeScript, Express
AI & Automation: OpenAI API, LangChain, RAG pipelines, n8n, Agentic AI
Databases: PostgreSQL, MySQL, MongoDB, Redis, Pinecone
DevOps: Docker, CI/CD, cloud deployment & server management
Integrations: REST/GraphQL APIs, Webhooks, CRMs, ERPs, Slack, MS Teams
👉 Result: Systems that save time, reduce tools, and scale cleanly
✅ What Clients Like About Working With Me
Clear communication & honest timelines
Strong planning before execution
Deep technical knowledge across IT + software + cloud
Long-term mindset systems built to grow, not break
“Get it done” attitude with real ownership
🏢 About My Team
I run Sysconnects, a small, focused team delivering cloud engineering, full-stack development, and AI-driven automation.
When needed, I can scale quickly with experienced resources without sacrificing quality.
If you need one person who understands infrastructure and software, I’m here to help.
System Administration
Server Virtualization
VMware Administration
End User Technical Support
Server Administration
Microsoft Hyper-V Server
Windows Administration
Network Administration
IT Support
Google Workspace Administration
Google Workspace
Node.js
React
Full-Stack Development
AI Agent Development
Mati Ul R.
Lahore, Pakistan
$20/hr
5.0
12 jobs
I build web products: marketplaces, dashboards, and AI-powered apps. Sometimes the fastest route is Bubble, sometimes it needs custom code. I work in both, so the recommendation you get is based on your product rather than on the only tool I happen to own.
In my portfolio below:
Characraft, a character building application powered by GPT-4o, where I ran product as well as development. Prompt design, generation flows, and the structure that keeps AI output usable instead of random.
Learnours, a two sided learning marketplace. Students buy courses, educators publish and sell them. Accounts, roles, listings and the purchase flow.
Surface, a dashboard application for monitoring and analysing business metrics in real time, with a clean responsive interface.
Most of my recent work is client code I am not free to publish, so what is shown here is the part I can. Day to day the stack is Next.js, React, TypeScript and Supabase, with Postgres underneath, Stripe for payments, and Claude or OpenAI where a product genuinely needs them.
WHAT I BUILD
Marketplaces and multi role platforms. Two sided accounts, listings, bookings, payments and payouts.
Dashboards and internal tools. Real data, filters, charts, exports, and permissions that actually hold.
AI features that ship. Document extraction, scoring, and generation with validated structured output, rather than a chatbot bolted on the side.
MVPs. Auth, database, payments, admin, deployed. Something your first users can log into.
Rescue work. Half built or fragile apps, on Bubble or in code. I stabilise first, then move the roadmap.
ON NO-CODE, AND WHEN TO LEAVE IT
Bubble is the right answer more often than custom developers admit, and the wrong answer more often than no-code agencies admit. It is excellent for validating an idea and for internal tools. It gets expensive once you need real query control, heavy background processing, or fine grained permissions.
I am a Bubble Certified Developer and I also build in code. So if you are already on Bubble and feeling the ceiling, I can tell you whether you have genuinely outgrown it or simply built it badly, and move you across if it is the former.
HOW I WORK
I use Claude Code and agentic tooling throughout. That is not a selling point on its own, everyone has it now. What matters is that I own the architecture, review what lands, and know which suggestions to throw away.
I will tell you a scope is wrong before we start rather than in week three, and if there is a cheaper path to the same outcome I will say so on the first call.
Send me what you are building, a rough idea is fine, and I will come back with a stack recommendation and a realistic timeline.
Tell us what you need. Create your own job post or generate one with AI then filter talent matches.
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