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$
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I will build multi agent ai systems and agent teams agno, adk, crew
M M Akhtar
About this gig
I will build multi-agent AI systems and agent teams that solve complete tasks from research automation and data collection to business workflows and multi-step decision pipelines.
****Please contact me Before Place Your Order****
What I deliver (examples)
- Design agent roles & team architecture (planner, researcher, executor, verifier).
- Build agents using Agno / custom frameworks with memory, knowledge retrieval, and tool access. GitHub
- Integrate external tools/APIs (web, DB, Google Sheets, Slack, custom APIs).
- Implement RAG (retrieval augmented generation) or knowledge layers for contextual accuracy.
- Provide test suite, deployment scripts (Docker), and handover docs.
- Optional: monitoring hooks, cost estimates (token usage), and strategies to reduce ops cost.
Why choose this gig
- I combine practical multi-agent engineering with production practices agent teams are more powerful but require careful orchestration (Ill handle prompts, memory, and tooling).
- I emphasize reproducibility: repo + docs + deployment ready.
- Ill help scope the most valuable tasks so multi-agent complexity is economically justified (multi-agent systems burn more tokens and are best for high-value workflows). An
Get to know M M Akhtar
M M Akhtar
AI Engineer, Full Stack Developer, n8n and AI Automation Expert
- FromIndia
- Member sinceApr 2021
- Avg. response time1 hour
- Last delivery11 months
Languages
Hindi, Bengali, English, Urdu
I’m MM Akhtar, an AI Engineer and Full Stack Developer with 4+ years of experience building intelligent, scalable, and user-centered products. As a founding engineer at Digiaccel.in, I helped design and develop an AI-driven Learning Management System used by thousands of learners. My expertise spans AI automation, web app development with Next.js and NestJS, and workflow design using tools like n8n, LangChain, OpenAI, and LlamaIndex. I combine strong engineering skills with a product mindset to build systems that are fast, reliable, and truly smart.
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FAQ
How long will this take?
Small prototypes: 2–4 days. Multi-agent prototypes: ~10 days. Production systems: 3–4 weeks depending on scope.
Do multi-agent systems cost more to run?
Yes. They typically use more model tokens and orchestration cycles than single chatbots. I provide cost-estimates and token-saving strategies.
Which frameworks do you use?
I use Agno (open-source multi-agent framework) and can integrate LangChain-style patterns, custom Python/Node agents, or your preferred stack.
Will you deploy to my cloud?
Yes — deployment is an extra. I deliver Dockerized services and can help deploy to AWS/GCP/DigitalOcean.
Can you build something for enterprise use?
Yes. Multi-agent systems are being piloted in real enterprises for automation and research — I can scope an enterprise-grade pilot with governance and security in mind.
What do you need from me to start?
Task description, data sources/APIs/API Keys (for OpenAI/Anthropic/Gemini) [your preferred LLM], acceptance criteria, and access (if deployment is required).
