Satyam Nautiyal

Building robust backend systems and AI-powered applications. Focused on scalability, efficiency, and engineering excellence.

Satyam Nautiyal
Profile

About Me

Hi, I’m Satyam.

Hi, I’m Satyam, a developer focused on building reliable software with an emphasis on backend systems and practical problem solving. I enjoy understanding how systems work beneath the surface and designing solutions that are simple, structured, and easy to grow over time. Most of my work involves developing APIs, data-driven applications, and full-stack platforms where thoughtful engineering decisions matter.

I’m currently exploring how to integrate AI into real applications to make software more useful and intuitive, not just intelligent in isolation. I learn best by building and iterating, constantly refining both my technical foundation and the way I approach problems. My goal is to grow into an engineer who creates systems that are dependable, meaningful, and built with purpose.

Featured Projects

Building solutions for problems that matter.

FarmTrack
Node.jsExpressMongoDBRedisSMTPTypescriptReact

Multi-Role RFID Farm Operations Platform

FarmTrack

A comprehensive farm management system handling animal tracking, yield analytics, and operational workflows across multiple roles.

Features
  • JWT-based role access control (Admin, Worker, Doctor)
  • Redis-backed OTP and caching workflows
  • Yield analytics & reporting
  • Modular Express controllers and structured models
  • API-driven RFID scan simulation
Lumora
Node.jsExpressLangGraphGroqCoherePineconePostgreSQLTypescriptReact

AI Journaling Assistant

Lumora

An AI-powered journaling platform that tracks mental well-being and provides context-aware insights.

Features
  • Context-aware AI feedback
  • Streak tracking logic
  • Interactive chat interface
  • History persistence & retrieval
FinSage
PythonFlaskLightGBMSHAPLangGraphGroqCoherePineconePostgreSQLStreamlit

Explainable AI (XAI) loan advisory system.

FinSage

Machine learning driven loan approval and advisory system with model explainability.

Features
  • LightGBM prediction model
  • SHAP-based explainability dashboard
  • Flask backend with modular service layers
  • Secure authentication with Bcrypt

Technical Stack

Capability through organization

Backend Systems

Designing APIs, managing data integrity, and optimizing latency.

  • Javascript
  • Node.js
  • Express.js
  • Python
  • Flask
  • Redis
  • PostgreSQL
  • MongoDB

AI & Applied ML

Building intelligent retrieval systems and predictable models.

  • RAG Systems
  • Groq
  • Cohere
  • Pinecone
  • LangChain
  • LangGraph
  • Classical ML
  • SHAP

Frontend

Architecting clean, responsive, and type-safe user interfaces.

  • React
  • TypeScript
  • TailwindCSS
  • Next.js
  • Vite

Dev & Tooling

Ensuring consistent environments and efficient delivery.

  • Microservices
  • Docker
  • Git
  • AWS Basics
  • Postman
  • Bash

Journey

From fundamentals to designing for scalability, resilience, and intelligence.

Sept 2022

Beginning the Voyage

Started B.Tech in Computer Science & Engineering, laying the foundation in core systems and algorithms.

June – Aug 2024

Intern at DRDO

Led a cross-functional team to engineer real-time object detection systems, achieving an 85% reduction in false positives.

Dec 2024 – Feb 2025

Intern at Infosys

Built scalable ETL workflows and LLM-driven data pipelines, boosting document processing efficiency by 40%.

Dec 2025 – Present

Intern at Accenture

Currently refining high-performance systems and contributing to large-scale digital transformation projects.

Let’s Connect.

Looking to join teams where I can learn, contribute, and refine my engineering depth.