Hello there! I'm

Rishav Acharya

>

Platform Engineer

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00.

About

My journey started in full-stack development, but I got hooked on infrastructure when I realized I cared more about keeping systems running than building new features. Chaos engineering principles pulled me in—I wanted to understand how to build resilient systems. That led me deep into observability: metrics, traces, APM, the whole stack.

At Anote, I learned AWS best practices the hard way: keeping systems reliable while making sure the bills didn't skyrocket. I also learned how microservices kept costs down and made deployments easier.

Today I'm a Software Engineer II at Tessitura Network. I'm driven to work in mission-driven spaces. But honestly, I just love what I do: managing infrastructure, helping developers ship code to production, solving the problems that keep systems alive.

I'm looking to connect with founders building the infrastructure layer of AI.

When I'm not debugging or closing tickets, you'll find me rock climbing, playing music, or tinkering with robotics.

Rishav Acharya - Software Engineer specializing in infrastructure and observability
02.

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.

View Repository



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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