Headline

AI Systems & Backend Engineer | FastAPI • LangGraph • Pipecat | Agent Orchestration • Voice AI

About

AI Backend Engineer | Building Frontier AI for Venture Capital | Multi-Agent Systems I am an AI Backend Engineer driven by building frontier technologies that solve complex, high-stakes problems. My technical journey began in high school and accelerated rapidly into backend development by my first semester of college. From day one, I have intentionally sought out high-paced startup environments, relying on my strong ability to learn quickly, adapt to new frameworks, and consistently ship production-ready code. During my first year, an intensive internship at Opener solidified my backend foundation with FastAPI. I spent my second year compounding my experience by building and shipping core features across several early-stage startups, constantly expanding my technical breadth and execution speed. A major turning point in my career was joining ENIAC, a voice-agent customer-care platform. I handled the core engineering and led the development of complex, low-latency voice agents. By driving the technical execution, I successfully helped the company deliver its very first customer. Now, in my third year of college, I am a core team member at a startup bringing autonomous AI agents to the venture capital industry. Handling end-to-end product development, I am building robust, context-graph-driven AI architectures designed to fundamentally enhance and automate investor decision-making. I combine my expertise in multi-agent orchestration with a relentless focus on rapid execution and building products that scale. I am always looking to connect with visionary investors, founders, and tech leaders who are passionate about the future of AI in venture capital. Let’s talk about how multi-agent architectures are reshaping the industry.

Location

Bengaluru

AI stack

antigravity

cursor

opencode

Work experience

Agent Orchestrator ++ Founding Engineer at zaum, 2026 - Present · 8 mos, Bengaluru, Most AI Agents fail to deliver. and almost all AI Employees will get fired. either they will not meet expectations or be too expensive to keep running. This gap gets solved with a robust harness. only the work on the harness compounds, and a good harness means the model is swappable. We are working on this layer, HaaS (Harness as a Service) layer enabling AI outcomes.

AI Backend Engineer at eniac, Dec 2024 - May 2025 · 6 mos, Bengaluru, Worked on the core voice AI pipeline — the kind where every millisecond matters. Cut initial response time from 8s to 3s, which completely changed how natural the conversations felt. Built transcription analysis and voice filtering systems that bumped conversation accuracy by ~40%. Also set up automated Plivo CDR retrieval to catch latency bottlenecks before they became real problems. Eniac was later acquired by Claritel.

Full Stack Engineer at BLDX, Aug 2024 - Nov 2024 · 4 mos, Bengaluru, Handled backend and frontend for the platform. Set up a Dockerized MVC backend on AWS EC2 and streamlined the CI/CD pipeline, cutting deployment time by 30%. On the frontend, revamped key user flows and improved the overall UI/UX to make the product feel cleaner and more intuitive.

Full Stack Engineer Intern at Opener, Jun 2024 - Aug 2024 · 3 mos, Built the complete user onboarding flow, using data analytics to personalize the experience end-to-end. Also shipped a Chrome extension that automated job applications and added one-click resume customization — one of those "why didn't this exist already" features.

Education

Bachelor of Engineering - BE, Information Science and Engineering, Sir M Visvesvaraya Institute Of Technology

Public links

github: https://github.com/Mohd-Mursaleen