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Anvith-Kanchan/README.md

Hi, I'm Anvith Kanchan πŸ‘‹

Computer Science & Financial Technology Student

Software Engineering β€’ Open Source β€’ Cloud β€’ AI/ML β€’ Cybersecurity β€’ FinTech

GitHub


πŸ‘¨β€πŸ’» About Me

I'm a Computer Science and Financial Technology student interested in building software that solves practical problems.

My interests have grown across software development, cloud-native systems, artificial intelligence, cybersecurity, developer tooling, and financial technology.

I enjoy learning by building β€” from full-stack applications and financial analysis tools to machine-learning systems, networking experiments, security tooling, and open-source projects.

I'm particularly interested in becoming a stronger software engineer through real-world development, open-source collaboration, and working with experienced developers.


🧭 What I Work On

Software Engineering
β”œβ”€β”€ Backend & APIs
β”œβ”€β”€ Full-Stack Applications
β”œβ”€β”€ Developer Tools
└── Automation

Cloud & Systems
β”œβ”€β”€ Linux
β”œβ”€β”€ Docker
β”œβ”€β”€ Virtual Machines
β”œβ”€β”€ Networking
└── Cloud-Native Technologies

AI & Data
β”œβ”€β”€ Machine Learning
β”œβ”€β”€ Financial Data Analysis
β”œβ”€β”€ LLM / AI Applications
β”œβ”€β”€ NLP / Intelligent Systems
└── Data Processing

Cybersecurity
β”œβ”€β”€ Network Security
β”œβ”€β”€ Intrusion Detection
β”œβ”€β”€ Network Analysis
β”œβ”€β”€ Security Testing
└── Defensive Tooling

Financial Technology
β”œβ”€β”€ Financial Data
β”œβ”€β”€ Company Analysis
β”œβ”€β”€ APIs
└── FinTech Applications

πŸ› οΈ Technical Skills

Languages

C++ Python JavaScript TypeScript

Web & Application Development

React React Native Node.js Express Flask Tailwind

AI / Machine Learning

Scikit Learn XGBoost LangChain

Areas I've worked with include:

Machine Learning Β· Classification Β· Ensemble Learning Β· XGBoost Β· Random Forest Β· PCA Β· RFE Β· Clustering Β· Anomaly Detection Β· LLM Applications Β· Financial Data Analysis

Cloud / DevOps / Systems

Linux Β· Docker Β· Git Β· GitHub Β· GitHub Actions Β· VirtualBox Β· REST APIs Β· Networking Β· Shell

Cybersecurity / Networking

Nmap Β· Wireshark Β· Scapy Β· Nessus Β· Shodan Β· iptables Β· Network Traffic Analysis Β· Intrusion Detection Β· Security Testing


πŸ”¬ Areas I've Explored

Artificial Intelligence & Machine Learning

Built and experimented with machine-learning pipelines involving:

  • Classification and ensemble models
  • Random Forest and XGBoost
  • Feature selection and RFE
  • PCA and dimensionality reduction
  • Threshold tuning and recall / false-positive trade-offs
  • Clustering and Gaussian mixture models
  • Anomaly detection
  • LLM-powered applications
  • Financial data analysis

Cybersecurity & Networking

Hands-on experience with:

  • Network traffic analysis
  • Intrusion detection systems
  • Packet generation and analysis
  • Network reconnaissance
  • Firewall configuration
  • Linux networking
  • Security scanners
  • Virtualized security environments

Software Development

Experience building applications with:

  • React / React Native
  • Node.js / Express
  • Python / Flask
  • REST APIs
  • Full-stack architectures
  • AI-powered applications
  • Automation workflows

Systems & Cloud

I've worked with:

  • Linux environments
  • Virtual machines
  • Docker
  • Networking and routing
  • Firewall rules
  • Cloud-native concepts
  • Developer tooling

πŸ’Ό Experience & Learning

My development journey has included working across several areas rather than specializing in a single technology:

Software Development
β†’ Full-stack applications, APIs, frontend systems and backend services

Machine Learning
β†’ End-to-end experimentation, model evaluation, feature engineering and security-oriented ML

Cybersecurity
β†’ Network security, traffic inspection, IDS concepts, scanning and defensive experiments

Financial Technology
β†’ Financial data processing, company analysis and software for financial use cases

Open Source
β†’ Learning how large repositories are structured, understanding contribution workflows, studying issues and working toward meaningful open-source contributions


🌱 Currently Focused On

  • Strengthening my software engineering fundamentals
  • Improving C++ and Python
  • Building stronger backend and systems knowledge
  • Learning cloud-native technologies
  • Contributing to open-source projects
  • Exploring developer infrastructure and tooling
  • Becoming better at writing maintainable, production-oriented code

πŸš€ Open Source Interests

I'm especially interested in contributing to projects involving:

Cloud Native Β· Kubernetes Β· Linux Β· Developer Tools Β· AI Infrastructure Β· Cybersecurity Β· Networking

I'm particularly interested in work where I can:

read β†’ understand β†’ improve β†’ document β†’ contribute

rather than only building isolated personal projects.


πŸ“š What I'm Learning

Data Structures & Algorithms , Operating Systems ,Computer Networks ,Distributed Systems ,Cloud Computing ,Machine Learning ,Cybersecurity ,Open Source Development ,Software Engineering

🎯 Long-Term Direction

I want to grow into a software engineer capable of working across the stack and understanding the systems underneath it.

My long-term interests sit around the intersection of:

Software Engineering Γ— Cloud Γ— AI Γ— Security Γ— Financial Technology


Build. Learn. Contribute. Repeat. πŸš€

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