Email the Author
You can use this page to email Satyam Mishra about Broken Prayers of a Tired Heart.
About the Book
In English, this is a book about heartbreak.
In poetry, it’s a tired heart learning how to breathe again.
Broken Prayers of a Tired Heart is a collection of 108 modern poems about love, loss, distance, regret, and the quiet work of healing. Written by MS+PhD student Satyam Mishra between late-night experiments and early-morning overthinking, these pieces read like messages that were never sent and prayers that were whispered instead of spoken.
This book is for you if:
- you still replay old conversations and wonder what you could have done differently
- you miss someone who is very much alive
- you’re trying to move on without pretending it never mattered
- you want gentle words to hold on to when the chest feels heavier than the body
Across nine chapters, the poems follow the arc of a relationship: from the life before her, to the first warmth, to the breaking, to regret and karma, and finally to a softer kind of peace. The language is simple, intimate, and confessional: short lines, slow rhythm, and a voice that speaks directly to the person who left.
Here you’ll find:
- hearts that melt and harden again
- moonlit nights, quiet rooms, and train rides that still remember a name
- the guilt of “I could have loved you better”
- the calm that slowly comes after the storm
You can read this book straight through, or open it anywhere and find a line that understands you.
In English, it’s a poetry collection.
In poetry, it’s one tired heart talking to yours 108 times, so you don’t have to feel alone in what you’re carrying.
About the Author
If AI had a dating profile, Satyam Mishra would probably be the person it swipes right on. With 5+ years of wrangling code, math, and GPUs (sometimes successfully), he’s been building everything from GPT-powered autonomous agents to robots that can navigate the world without bumping into walls… most of the time.
Specialties? Oh, just the casual stuff: Generative AI, Machine Learning, Computer Vision, Embedded Systems, and Agentic AI. Recently, he’s been flirting with LLM optimization, Koopman-based AI (yes, it’s as fancy as it sounds), optical computing (optical neural networks), and making AI explain why it does what it does without sounding like a politician.
Projects? He’s rolled out grammar-constrained reinforcement learning (because even AI needs to mind its language), fine-tuned LLMs with RAG systems, built contactless facial authentication (so you can look at your computer and it just knows), and cooked up personalized LMS/ERP platforms that make both students and managers slightly less stressed.
He’s also been the brains behind KoopFormer (a physics-inspired transformer that teaches AI motion synthesis, still in progress work) and NeuroExplain (an LLM that talks neuroscience without melting your brain, still in progress work). On the ops side, he’s deployed secure hybrid AI platforms with K3s, Vault, Prometheus, and GitOps: basically making AI run like a well-oiled (and well-guarded) machine.