Abhay M.
Python AI Engineer | Multi Ai Agents, RAG & Voice Chatbots| Azure, GCP
🚀 𝘾𝙤𝙙𝙚 𝙞𝙩. 𝙎𝙝𝙞𝙥 𝙞𝙩. 𝙎𝙘𝙖𝙡𝙚 𝙞𝙩. 𝙆𝙚𝙚𝙥 𝙞𝙩 𝙧𝙪𝙣𝙣𝙞𝙣𝙜. 🚀 Hi, I'm Abhay Manhas. I build Python backends and AI systems that hold up in production — not demos that fall apart the moment real users show up. I specialize in building production-ready, highly scalable AI applications. By combining Django/DRF with advanced Multi-Agent AI and Voice systems I create powerful backends optimized with parallel processing for maximum speed. WebSocket systems for real-time updates, and Celery / Temporal pipelines that quietly process millions of background jobs. I build LLM-powered features into real products: chatbots with memory, voice agents that actually understand people, and multi-agent systems that do real work instead of just chatting. Backed by strong DevOps (Docker, Kubernetes, Cloud) expertise, I don't just build your AI—I ensure it scales seamlessly under heavy user loads. 🧑🏼💻𝗪𝗵𝗮𝘁 𝗜 𝘂𝘀𝘂𝗮𝗹𝗹𝘆 𝗴𝗲𝘁 𝗵𝗶𝗿𝗲𝗱 𝗳𝗼𝗿: ⭐️ Django / DRF / FastAPI backends — clean architecture, not spaghetti. ⭐️ Real-time features with WebSockets (chat, live dashboards, notifications). ⭐️ Background processing at scale — Celery + RabbitMQ, or Temporal when workflows get complex. ⭐️ AI integrations: OpenAI, Claude, Gemini, Azure OpenAI, Deepgram, AssemblyAI, ElevenLabs, OpenRouter. ⭐️ AI chatbots, voice assistants, and agentic AI (single and multi-agent systems). ⭐️ Conversational AI — retrieval, memory, tool-calling, the stuff that makes agents useful. ⭐️ Model training in PyTorch when off-the-shelf doesn't fit. ⭐️Deployment on GCP, AWS, Docker, Kubernetes — with KEDA autoscaling and proper health checks. 👍🏻𝗔 𝗳𝗲𝘄 𝘁𝗵𝗶𝗻𝗴𝘀 𝗜 𝗰𝗮𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝗺𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝗜 𝗽𝗿𝗼𝗯𝗮𝗯𝗹𝘆 𝘀𝗵𝗼𝘂𝗹𝗱: ✅ Code structure that still makes sense six months later ✅ Async done right (asyncio, not thread-hacking) ✅ Databases designed properly the first time, not patched forever ✅ Infra that scales down to zero when idle so you don't burn money 🎯𝗪𝗵𝗼 𝗜 𝘄𝗼𝗿𝗸 𝗯𝗲𝘀𝘁 𝘄𝗶𝘁𝗵: Founders shipping MVPs, teams building AI features into an existing product, or anyone who inherited a messy Python backend and needs it cleaned up. I work directly with you — no outsourcing, no "account manager" between us. If you're building something where the backend actually has to work under pressure, or you're putting AI into a real product (not just wrapping ChatGPT), send me a message. Happy to take a look at what you're building and tell you honestly whether I'm the right fit. 📊𝗦𝗸𝗶𝗹𝗹𝘀: - Python, Django, Django REST Framework -Celery, RabbitMQ, WebSocket, - OpenAI API, LLM, LangChain, CrewAI, OpenClaw, AutoGen, RAG, AI Chatbot, Voice Assistant, Multi-- Agent Systems, Agentic AI,, PyTorch, ElevenLabs, Deepgram, Vapi ai. - Kubernetes, Docker, KEDA. - Server Management and handling(AWS, Google Cloud Platform, Supabase, Azure Devops) , ❌𝗪𝗵𝗮𝘁 𝗜 𝗱𝗼𝗻'𝘁 𝗱𝗼: - No spaghetti code that only I can maintain — if you need to hire someone else next month, they'll understand it. - No "works on my machine" handoffs — if it isn't running in your environment, it isn't done. - No dropped background jobs, no silent failures — every worker has retries, logging, and alerts. - No over-engineering — I won't build microservices for a project that should be a monolith. - No N+1 queries in shipped code. - No deployments without health checks, rollback, and monitoring. - I don't disappear mid-project — you get daily updates, not radio silence.
Earnings and projects
Last 6 months ÷ 6
Billed in all: $43,056$43k
Across 6 contracts