Hello there! I'm

Rishav Acharya

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Platform Engineer

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00.

About

I'm a Backend Engineer focused on infrastructure and AI workloads, working primarily with Python, Node.js, Docker, AWS, PostgreSQL, and Supabase. I enjoy operating at the intersection of development and production—building robust APIs while ensuring systems are observable, deployable, and resilient in real-world environments.

I’m skilled in setting up CI/CD pipelines, containerizing apps, automating workflows, and managing cloud infrastructure to support fast, reliable deployments.

I bring value to businesses by building backend systems that are not just functional but production-ready—reducing downtime, accelerating developer velocity, and ensuring infrastructure can scale with product needs. My focus on both code quality and system reliability allows teams to ship confidently and grow sustainably.

Rishav Acharya - Platform Engineer & DevOps Engineer specializing in AWS AI systems
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Projects

LifeOS — AI Productivity Agent

An intelligent desktop companion that helps you stay focused, break down goals, and maintain a healthy flow state. Features a Goal Strategy Engine that turns large goals into actionable weekly plans, an AI Morning Briefing that generates personalized daily plans, and a Flow State Guard that detects distractions and nudges you back to focus—backed by real-time usage analytics.

Built with a Tauri (Rust) desktop shell, React/TypeScript/TailwindCSS frontend, and a Python FastAPI backend with OpenAI GPT-4o for the AI layer.

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Post Automator

A serverless automation that posts to LinkedIn every Sunday, generating the content with OpenAI's GPT-4o-mini and publishing it unattended on a schedule.

Runs as a containerized Python 3.12 Lambda triggered by EventBridge Scheduler, built and pushed via ECR, with all infrastructure defined in Terraform.

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Grandma's Pill Buddy

An AI voice agent that calls elderly patients daily to check medication adherence and wellbeing, built for the ABI Hackathon. Claude drives the conversation, ElevenLabs handles voice synthesis, and Twilio places the call and texts a caregiver if a dose was missed. A judge agent evaluates every call afterward and feeds the learnings into the next conversation's prompt, making the agent self-improving over time.

Three FastAPI services (voice agent, backend, judge agent) running over Docker Compose, with Supabase for patient data and call logs.

View Repository
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Certifications

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Coffee Chat

We can chat virtually if that's more convenient.
Or let's meet in person to brainstorm ideas together.
Got a project in mind? I'd love to collaborate!
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