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[ OK ] Booting ratheesh-os v1.5.0 ...
[ OK ] Mounted /dev/react + /dev/next + /dev/node
[ OK ] Loaded kernel modules: langchain, langgraph, rag-pipeline
[ OK ] Started service: incresco-technology-solutions.service
[ OK ] Reached target production-ready.target
[ INFO ] Ratheesh R is now online.
interface Engineer {
name: string;
title: string;
focus: string[];
experience: string;
education: string;
currentlyBuilding: string;
philosophy: string;
}
const ratheesh: Engineer = {
name: "Ratheesh R",
title: "SDE 1 @ Incresco Technology Solutions",
focus: ["Agentic AI", "RAG Pipelines", "Full-Stack Architecture"],
experience: "1.5+ years across production-grade SaaS platforms",
education: "B.Tech, AI & Data Science — SNS College of Engineering",
currentlyBuilding: "distributed, high-throughput Next.js systems",
philosophy: "clean architecture + intelligent systems > clever hacks",
};
export default ratheesh;[
{
"role": "Software Development Engineer 1",
"company": "Incresco Technology Solutions Pvt. Ltd.",
"period": "Mar 2026 — Present",
"highlights": [
"Architecting Next.js apps with unified, multi-platform workflows",
"Real-time state management + context-driven UI rendering",
"Cross-platform compatibility patterns, reduced code duplication"
]
},
{
"role": "Junior Full Stack Developer",
"company": "One to Infinity Solutions Pvt Ltd",
"period": "Aug 2025 — Dec 2025",
"highlights": [
"Built AI-powered apps on RAG pipelines + agentic AI",
"Owned architecture, frontend, backend APIs, and deployment",
"Integrated LangChain / LangGraph into modular codebases"
]
},
{
"role": "Software Associate Intern",
"company": "SNS Square Consultancy Services Pvt Ltd",
"period": "May 2024 — Jul 2025",
"highlights": [
"Shipped production features across two full product versions",
"Leveled up on responsive design + clean code architecture"
]
}
] # frontend
+ React.js Next.js TypeScript
+ Redux Tailwind CSS Material UI
# backend
+ Node.js Express.js Python (FastAPI)
+ REST APIs WebSockets Scalable Architecture
# ai / ml
+ LangChain LangGraph RAG Pipelines
+ Agentic AI GenAI Prompt Engineering
# data + infra
+ MongoDB PostgreSQL MySQL
+ Redis Docker Git / GitHub
! currently exploring: Solidity · Web3 · WebGL|
type: Distributed infrastructure
problem: High-throughput bulk email automation
solution:
- Monorepo architecture, load-balanced infra
- Redis caching + distributed message queues
- Rate limiting & retry strategies
- Gmail API + SMTP multi-channel delivery
stack: [Node.js, Redis, Queues, Gmail API] |
type: AI-powered learning roadmap platform
problem: No personalized career/learning guidance
solution:
- RAG + LangGraph analyzes student profiles
- Generates personalized role recommendations
- Structured, adaptive learning roadmaps
stack: [LangChain, LangGraph, FastAPI, React.js] |
JavaScript / TypeScript ████████████████████░░░░ 78%
Python ████████████░░░░░░░░░░░░ 46%
HTML / CSS ██████████░░░░░░░░░░░░░░ 38%
Other ████░░░░░░░░░░░░░░░░░░░░ 14%
live stats below, pulled directly from GitHub's API
{
"email": "ratheesh.r@increscotech.com",
"github": "iamratheesh",
"twitter": "@iamratheeshev",
"instagram": "@iamratheeshev",
"youtube": "iamratheesheveloper"
}$ echo "thanks for reading the source. now go ship something."
thanks for reading the source. now go ship something.
$ shutdown -h now