Salman ullah B.

AI Agent Developer and Python engineer specializing in Trading Systems, AI agents, Voice AI, RAG/LLM applications, Machine learning, and algorithmic automation. Built and maintained production trading and automation systems, including a SAAS application with 30,000 users. I build practical software for startups, fintech companies, trading businesses, and organizations that need intelligent automation, AI assistants, or data-driven decision systems. My experience includes: AI agents and automated workflow systems OpenAI API and LangChain applications Custom-data AI chatbots and knowledge assistants RAG and LLM applications Voice and speech-related AI workflows Algorithmic trading and crypto trading systems Binance, Bybit, TradingView, Forex, and market-data integrations Backtesting and trading-strategy optimization Automated execution, market analysis, and risk-management systems LSTM, neural networks, reinforcement learning, BERT, and predictive models Python APIs and backend applications Django, FastAPI, data processing, and real-time systems My portfolio includes deep-learning trading bots, AI-based trading-strategy optimization, crypto portfolio risk management, market analytics platforms, Binance trading integrations, AI chatbots, sentiment-classification systems, customer-churn prediction, and real-time data applications. I also worked on a long-term Binance trading application with more than 500 billed hours, as well as crypto market-analysis and automation systems. These projects involved exchange APIs, market data, trading logic, automated execution, and production software development. I founded and operated Valour.ai, a production platform that reached more than 30,000 registered users and 6,000 paying customers. This gave me practical experience building, deploying, monitoring, and maintaining software used by real customers. My technical stack includes Python, PyTorch, TensorFlow, Scikit-learn, Django, FastAPI, PostgreSQL, Redis, Celery, Docker, AWS, OpenAI APIs, LangChain, REST APIs, machine learning, and financial-market APIs. I am also a Microsoft Certified Azure Data Scientist Associate and am Top Rated with a 100% Job Success Score. My development process is straightforward: Understand the business objective, data, integrations, and constraints Design the architecture and technical approach Build the solution in testable stages Validate data quality, edge cases, API failures, and performance Deploy and document the system Provide maintenance and improvements when needed If you need an AI agent, Voice AI workflow, RAG/LLM application, Python backend, machine-learning model, trading system, or automation solution, send me your requirements, existing technology stack, and timeline.