I didn’t come into tech because it was “safe.” I came into it because I like building things that actually do something in the real world.
Over the last few years, I’ve realized something about myself: I’m not someone who enjoys polishing resumes or chasing buzzwords. I enjoy ownership. I enjoy responsibility. I enjoy being the person who sees a broken system and thinks, “Okay, I’ll fix this.”
Most of my learning didn’t come from courses or DSA sheets—it came from shipping. From breaking production systems, fixing them at 3 AM, redesigning flows that didn’t scale, and making trade-offs when resources were limited. That’s where I learned how real software works.
I’ve worked in startup environments where there was no separation between “frontend,” “backend,” “AI,” or “infra.” If something needed to be built, debugged, or improved—I owned it. That includes full-stack systems, desktop apps, real-time AI pipelines, and deployments across cloud providers. I’m comfortable moving fast, but I care deeply about why something is built, not just how.
What motivates me isn’t titles or hype. It’s leverage.
I want to build systems that fit naturally into someone’s workflow—products that people are willing to pay for not because of marketing, but because they’d rather not work without them. I’m deeply interested in AI not as a buzzword, but as a force multiplier: a way to think better, ship faster, and solve problems that weren’t feasible before.
I’m ambitious—very. I want financial freedom, autonomy, and the ability to choose what I work on. But I’m also patient. I understand that real value compounds over time through skill, consistency, and execution. I’m willing to do the unglamorous work if it moves the needle.
If you’re looking for someone who:
Can own problems end-to-end
Thinks beyond task lists and into systems
Uses AI as a tool, not a crutch
Cares about outcomes more than appearances
Then we’ll probably work well together.
I’m not here to “try things out.”
I’m here to build, learn fast, and create something meaningful—step by step.
Let’s get to work.
— Rudraksh Kapoor
Software Engineer (Full Stack & AI) — Waterr AI (Aug 2025 - Dec 2025):
• Built and maintained production web, backend, desktop, and AI services in a fast-moving startup environment.
• Implemented real-time AI pipelines using Pipecat, Daily Python, Gemini, OpenAI, Anthropic, Deepgram, and Azure TTS.
• Developed Node.js backend APIs and Python inference services supporting real-time audio/video workflows.
• Worked closely with the founder to iterate quickly, stabilize core flows, and improve system reliability.
Freelance Developer — Blockchain & Authentication Systems (Dec 2024 – Jul 2025):
• Built a Hyperledger Besu-based healthcare data platform with secure data flows and monitoring via Prometheus and Grafana.
• Developed hybrid Web2 + Web3 authentication systems using Ethereum wallets and multi-factor identity verification
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