Hammad A.

🔹 Top Rated Plus | 100% Job Success | 75+ Projects Delivered 🔹 AI Automation · LLM Development · OpenAI · Claude · RAG Systems · AI Agents 🔹 Production Mobile App & systems handling 1M+ API calls | Fintech · HealthTech · B2B SaaS 🔹 Founding Engineer at YC-backed Startup | 7+ Years Building AI & Backend Systems ━━━━━━━━━━━━━━━━━━━━━━━━━ Seven years ago I started as a backend engineer. Over time, I noticed a recurring problem across industries like healthcare, fintech, and B2B SaaS, administrative bottlenecks, fragmented data in multiple databases, and workflows that required constant human intervention, causing slow decision-making. Today, as an AI Solutions Architect, I solve these problems by designing and building systems that automate complex operations, unify data silos, and enable intelligent, real-time decision-making. I specialize in developing AI-powered platforms for B2B SaaS, HealthTech, and financial automation using Python, LLMs, RAG pipelines, and AI agents. I’ve implemented these solutions as a founding engineer and core technical lead at a YC-backed company, designing architectures that handle millions of API calls daily, support real-time analytics, and survive high traffic, strict compliance, and tight deadlines in production environments across multiple sectors. ━━━━━━━━━━━━━━━━━━━━━━━━━ 𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗 ━━━━━━━━━━━━━━━━━━━━━━━━━ ➢ Mobile & Hybrid System Products Having lead technology and digital infrastructures of some of world's most prestigious brands, I have developed great insight of business enablement for consumers. I have also lead multi-million dollar funded projects. ➢ AI Workflow Automation for B2B SaaS As an AI Solutions Architect, I design LLM-powered pipelines that eliminate manual operations - including document processing, CRM enrichment, lead qualification, automated reporting, and multi-step agent workflows running without human oversight. ➢ RAG Systems & Intelligent Search Retrieval-Augmented Generation pipelines for SaaS products - document Q&A, internal knowledge bases, semantic search, and context-aware responses grounded in your private data. Built on Pinecone, FAISS, Weaviate, pgvector, or Chroma. ➢ LLM Integration & AI Agent Systems GPT-4o, Claude, Mistral, and open-source LLMs connected to your existing stack through LangChain, LangGraph, and multi-agent architectures with tool-calling and memory management. ➢ AI SaaS Backend Architecture Scalable Python backends with authentication, billing, REST APIs, async workers, and AI feature layers - designed by an AI Solutions Architect to take you from MVP to Series A without requiring a full rewrite. ━━━━━━━━━━━━━━━━━━━━━━━━━ 𝗪𝗛𝗔𝗧 𝗠𝗔𝗞𝗘𝗦 𝗧𝗛𝗜𝗦 𝗪𝗢𝗥𝗞 ━━━━━━━━━━━━━━━━━━━━━━━━━ Most AI integrations fail at the architecture stage - the LLM works in isolation but breaks when connected to real data, real users, and real edge cases. Having operated as a founding and core engineer, I’ve been the person responsible for fixing those failures. Now, as an AI Solutions Architect, I design systems with failure modes in mind from the start: fallback handling, cost controls, latency budgets, and built-in observability. ━━━━━━━━━━━━━━━━━━━━━━━━━ 𝗖𝗟𝗜𝗘𝗡𝗧 𝗙𝗘𝗘𝗗𝗕𝗔𝗖𝗞 ━━━━━━━━━━━━━━━━━━━━━━━━━ ⭐⭐⭐⭐⭐ "Having worked with many talented professionals in my Silicon Valley career, I can confidently say Hammad and his team are among the best." ⭐⭐⭐⭐⭐ "Hammad transformed my app beyond my expectations - fantastic work, extremely responsive, and proactive." ⭐⭐⭐⭐⭐ "A true professional with critical thinking and dedication. Hammad builds partnerships, not just transactions." ━━━━━━━━━━━━━━━━━━━━━━━━━ 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞 ━━━━━━━━━━━━━━━━━━━━━━━━━ 🤖 LLM & Agents: OpenAI · GPT-4o · Claude · Mistral · LangChain · LangGraph · CrewAI · Tool Calling · Prompt Engineering · Fine-tuning · Embedding Models · Model Evaluation 🗂 RAG & Vector: Pinecone · FAISS · Weaviate · pgvector · Chroma · Semantic Search · Document Intelligence · Hybrid Search 🐍 Backend: Python · Django · FastAPI · Flask · PostgreSQL · Redis · Celery · WebSockets · REST APIs ⚙ Infrastructure: AWS · GCP · Docker · CI/CD · Nginx · DigitalOcean · Hetzner · Cloudflare · Godaddy DNS etc ━━━━━━━━━━━━━━━━━━━━━━━━━ 𝗕𝗘𝗦𝗧 𝗙𝗜𝗧 𝗙𝗢𝗥 ━━━━━━━━━━━━━━━━━━━━━━━━━ ✔ B2B SaaS companies adding AI automation to a core product or workflow ✔ Seed or Series A teams that need senior AI backend engineering ✔ Founders who need an AI-native architecture from day one ✔ Engineering teams integrating LLMs or RAG into an existing Python stack ✔ Products that need AI to handle real load, not just pass a demo Not the right fit for projects involving gambling, adult content, or that require rigid hourly time-tracking. 𝗦𝗲𝗻𝗱 𝗮 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝗼𝗿 𝗶𝗻𝘃𝗶𝘁𝗲 𝗺𝗲 𝘄𝗶𝘁𝗵 𝗱𝗲𝘁𝗮𝗶𝗹𝘀 𝗮𝗯𝗼𝘂𝘁 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁. I'll tell you honestly whether it's a good fit and what the right architecture looks like before any contract starts.