WhereToPlant
AI-powered Telegram bot that analyzes 30+ environmental parameters to predict plantation success with ~80% accuracy. Used by HP Forest Department across 795K+ land parcels.
Rishav Katoch
Computer Engineer & Deep Tech Enthusiast
Hi there! I'm a passionate developer from India, working on exciting projects in LLMs and deep tech. Currently building at the intersection of AI and real-world impact.
I founded RootIQ Labs — we're revolutionizing forest restoration through AI-powered site selection. Our flagship product, WhereToPlant, analyzes 30+ environmental parameters to predict plantation success with ~80% accuracy. We've analyzed 795,000+ land parcels across Himachal Pradesh and are trusted by the HP Forest Department for data-driven restoration decisions.
Rooted in Science, Growing with Communities.
PythonGoTypeScriptReactLangChainKubernetesRedisKafka
Projects
Distributed Task Scheduler
High-performance distributed task scheduling system with advanced algorithms and fault tolerance, built in Go.
EduCloud
Cloud-based educational platform for seamless learning and collaboration.
Recent Writing
Learning LLMs from Scratch: Introduction
Starting my journey to understand Large Language Models from the ground up - exploring transformers, attention mechanisms, and the math behind modern AI.
Lessons from Building Distributed Systems
Key insights and patterns I've learned while building distributed task schedulers
Welcome to My Blog
My first blog post on my new personal website
Research
Comparative Analysis of Scheduling Algorithms in Distributed Task Schedulers
A comprehensive study of scheduling algorithms in distributed systems, evaluating Round-Robin, FCFS, and Least-Loaded approaches using a Golang-based framework.