Satyam Rana

(About)

I'm a passionate learner focused on programming, AI, and problem-solving.

I work across the full stack, comfortable moving between intelligent systems and the products that bring them to life. I value clean, dependable engineering and stay endlessly curious - always sharpening my craft and taking on the next challenge.

• Kathmandu, Nepal
• CS with Artificial Intelligence
• satyam.rana.innovate@gmail.com

• 01

  Programming

  The languages I reach for day to day, from low-level C to scripting and the web.CPythonJavaScriptPHP

• 02

  Web & Backend

  Full-stack web apps and RESTful services - responsive front-ends backed by clean APIs.HTMLCSSReactNode.jsMongoDB

• 03

  Data & AI

  Turning data into models and insight, from computer vision to classical ML pipelines.NumPyPandasScikit-LearnYOLOv8

• 04

  Tools & Workflow

  The version control, tooling, and habits that keep projects shipping.GitGitHubCLIREST APIs

• Codynn

  Research & Technical Content Writer

  Feb 2024 - Jul 2024

  • Authored 3+ C programming tutorials and courses spanning beginner to advanced topics
  • Designed 50+ coding challenges used by 200+ learners on the platform
  • Produced 2+ project-based video tutorials

• 01

  AI powered Drug Interaction Detection System (Deerhack 2026 AI/ML Track Winner)

  AI · Machine Learning · Neural Networks2026

  A GNN-powered clinical tool that predicts dangerous drug combinations before they reach patients.

  PythonFastAPIDeep Learning (DNN)RDKitJavaScript
• 02

  MedSync: Full-Stack Healthcare Operations & Patient Data Synchronization Hub

  Full-Stack · Healthcare

  An end-to-end medical management platform that securely synchronizes patient data, records, and treatment plans.

  ReactNode.jsMongoDBExpress
• 03

  AI powered Traffic Management System

  AI · Computer Vision2025

  AI traffic management that adapts signals in real time.

  PythonYOLOv8OpenCVFlaskJavaScript

• CHIPSAL · 2026

  Satyam Rana

  NeCCo: Nepali Cultural Commonsense Benchmark for Large Language Model Evaluation

  A culturally grounded benchmark evaluating large language models on Nepali commonsense reasoning, built on a high-quality dataset of local norms and traditions. The open evaluation framework exposes cross-cultural reasoning gaps in current multilingual LLMs and supports low-resource, culturally diverse NLP research.

• IT4D · 2026

  Satyam Rana

  Towards Adaptive Traffic Control: A YOLOv8-Based Prototype for Real-Time Lane-wise Density Estimation and Signal Actuation

  An AI-driven traffic control framework using real-time vehicle detection and density analysis, with computer-vision techniques that dynamically optimize signal timing to reduce congestion and average wait time - proposing a scalable architecture for smart-city deployment.

• Apr 2026

  8 min read

  I Built Linear Regression From Scratch (No scikit-learn). Here’s What I Learned.↗

  Understanding gradient descent by implementing every line of code myself. Introduction Every machine learning tutorial teaches you the same pattern: from skl…

• Mar 2026

  6 min read

  Building Linear Regression from Scratch: A Journey into the Heart of Machine Learning↗

  When you implement an algorithm yourself, the magic disappears — and real understanding begins. Why Build from Scratch? When I started Andrew Ng’s Machine Le…