Mohd Mursaleen profile photo

Mohd Mursaleen

Software Engineer at a Stealth Startup

AI AgentsMulti-Agent OrchestrationVoice AI PipelinesLangGraphA2A EcosystemsGraph-based Memory
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About

I'm Mohd Mursaleen, a Software Engineer currently building the future of Agent-to-Agent (A2A) infrastructure at a stealth startup. My career has been defined by rapid execution in the AI space, from optimizing low-latency voice pipelines at Eniac (which led to an acquisition) to launching 'Champion,' an AI-driven investor simulation platform. I specialize in multi-agent orchestration and context-graph-driven architectures that make AI interactions feel natural and intelligent. I am deeply passionate about the 'Agentic Web'—the idea that the internet is evolving to serve agents as much as humans. I’m currently looking to connect with VCs and founders who are as obsessed with the A2A future as I am, offering my technical depth in autonomous architectures to help build the next frontier of AI.

Networking

What I can offer

  • ›Expertise in end-to-end autonomous agent architectures
  • ›Experience applying AI to the venture capital industry
  • ›Low-latency voice AI pipeline optimization
  • ›Full-stack development and CI/CD streamlining

Looking for

  • ›Venture Capitalists (VCs) working on AI Agents
  • ›Founders building the Agent-to-Agent (A2A) future

Best fit for

Venture CapitalistsAI Startup FoundersAI Infrastructure Engineers

Current Interests

Agent-to-Agent (A2A) infrastructureVenture Capital decision-making automationFrontier AI frameworksMulti-agent orchestrationContext-graph-driven architectures

Background

Career

Progressed from Full Stack Intern at Opener to AI Backend Engineer at Eniac (acquired by Claritel), currently building AI agent infrastructure at a stealth startup.

Education

Bachelor of Engineering (BE), Information Science and Engineering, Sir M Visvesvaraya Institute Of Technology (2023 – 2027)

Achievements

  • ›Achieved 200 organic users on launch day for 'Champion'
  • ›Reduced voice AI response time from 8s to 3s at Eniac
  • ›Increased conversation accuracy by 40% via transcription analysis
  • ›Reduced deployment time by 30% at BLDX
  • ›Led technical execution for Eniac’s first customer delivery prior to acquisition

Opinions

  • The next evolution of the internet is being built specifically for AI agents rather than just human users.
  • Rapid execution and shipping production-ready code early is essential.
  • Low-latency and context-aware graph-based memory are required for natural AI interactions.