Farhan S.

AI Solutions Architect | AI Engineer | AI-First SaaS | Agentic AI | Full-Stack | Multi-Agent | Claude Code | Cursor | MCP | A2A | AI in Health Care | AI in Supply Chain | AI-First ERP | AI in Trading & Finance | AI in Construction | n8n | Vision | ML | 7+ Yrs | MS Data Science | Top Rated Plus | 100% JSS I architect and ship PRODUCTION-GRADE, REVENUE-GENERATING AI SYSTEMS E2E. Recent Production-Grade AI Systems: AI in Health Care, AI in SCM, AI in Trading & Finance, AI in Construction Mgmt. --- RECENT PRODUCTION SYSTEMS BUILT AND SHIPPED: - AI Healthcare Multi-Agent Orchestration: 7+ agents (registration, triage, scan analysis, diagnostics, documentation, and more) with MCP integration, EMR (Cerner/Oracle), HIPAA-compliant, thousands of interactions. Stack: Python, FastAPI, React, MS SQL, LangGraph, MCP, Azure. - AI-First Supply Chain ERP: Bespoke multi-agent ERP with a central orchestration agent (Gideon) and specialized agents for procurement, planning & forecasting, inventory, production, supplier management, and other supply-chain workflows. Supports autonomous operational actions, BOM management, time-series forecasting, supplier discovery, RBAC/policy controls, and image understanding for operational data. Stack: Python, FastAPI, React, PostgreSQL, LLMs: Gemini, OpenAI, Anthropic. - Voice AI Health Care Appointment System: Inbound/outbound calling agent, eligibility screening (40+ dynamic questions), real-time slot booking via tool calls, insurance verification, authorization checks. Stack: Pipecat AI, LiveKit, Twilio, DeepSeek, LangGraph, FastAPI, RabbitMQ, React, MS SQL, Azure. - AI-First Construction Management SaaS: Multi-tenant construction management platform with specialized agents for project planning, scheduling, cost management, procurement, documentation, risk, and field operations. Includes image understanding for site/project data and specialized agents such as weather analysis for proactive planning and operational decisions. Built with a multi-agent architecture designed to automate workflows while maintaining tenant isolation and role-based access. Stack: Python, FastAPI, Node.js, React, PostgreSQL, LangGraph, LLMs: OpenAI, Anthropic. - Algorithmic Trading SaaS: LSTM/GRU/Prophet forecasting, real-time signals, agentic market analysis, sentiment processing, trade recommendations. Kubernetes auto-scaling, sub-second latency. Stack: Python, FastAPI, .NET, React, PostgreSQL, Redis, Kafka, LangGraph, Kubernetes, AWS, LLMs: DeepSeek, Kimi K3, Qwen. - AI Legal Document Intelligence: Multi-agent legal platform for contract analysis, clause extraction, risk detection, compliance checks, legal research, and automated drafting. RAG with citation-backed answers and human-in-the-loop review. Stack: Python, FastAPI, .NET, React, PostgreSQL, LangGraph, pgvector, LLMs: Claude, OpenAI, Gemini. - AI-First Financial Intelligence Platform: Multi-agent system for financial analysis, portfolio intelligence, market research, earnings analysis, risk assessment, and automated investment reports. Combines structured financial data, real-time market intelligence, RAG, and LLM reasoning. Stack: Python, FastAPI, React, PostgreSQL, Redis, LangGraph, LLMs: Qwen, Llama, DeepSeek, Gemma. --- TECHNICAL FOUNDATION: BACKEND: Python/FastAPI, Node.js, TypeScript, .NET Core, REST APIs, WebSockets, GraphQL, gRPC, Pydantic, SQLAlchemy, Celery. FRONTEND: React, Next.js, TypeScript, Tailwind CSS, Redux, Vite. DATABASES: PostgreSQL, MS SQL, MySQL, MongoDB. VECTOR DATABASES: Pinecone, Milvus, Qdrant, pgvector, Elasticsearch, ChromaDB, FAISS MESSAGING & CACHING: Redis, Kafka, RabbitMQ AI FRAMEWORKS: LangGraph, LangChain, CrewAI, LlamaIndex, OpenAI SDK, MCP, A2A, Pydantic AI LLMS: Claude, Gemini, DeepSeek, OpenAI, Qwen, Llama, Kimi K3, Grok, and other enterprise and open-weight LLMs LLM FINE-TUNING: Unsloth, LoRA, QLoRA, PEFT CLOUD: AWS, Azure, GCP, and modern cloud platforms such as Render, Vercel, Supabase, DigitalOcean, and Cloudflare, with Docker, Kubernetes, Terraform. ML/AI PLATFORMS: Azure AI Foundry, AWS Bedrock, Amazon SageMaker, Vertex AI, Databricks, Hugging Face, MLflow, Ollama, vLLM, NVIDIA NIM VISION/NLP: YOLO, BERT, spaCy, Transformers, CNN, PyTorch, TensorFlow, OpenCV, Hugging Face, OCR INTEGRATIONS: Stripe, Twilio, Slack, Airtable, n8n, EMR, trading platforms, OAuth2, JWT, Webhooks, Microsoft Graph. --- CORE STRENGTHS: - AI-First: Choose the right approach—classical ML, fine-tuning (LoRA/QLoRA), or managed APIs—based on real tradeoffs. - Full Ownership: Build E2E—from AI/ML and microservices to frontend, databases, cloud, DevOps, and production. - Agentic AI: Design multi-agent systems with LangGraph, CrewAI, OpenAI Agents SDK, or custom orchestration. Manage state, coordination, and A2A handoffs. - MCP: Build MCP-native systems for dynamic tool discovery and enterprise integrations. - Autonomous Workflows: Connect AI to APIs, databases, and services via intelligent tool calls.