Solidity Developer

Niomi Langaliya | Blockchain & AI Developer

A passionate and detail-oriented developer specializing in the on-chain logic and smart contract architecture that powers the decentralized web.

About Me

I'm a computer science student driven by a fascination with decentralized systems and their potential to create more transparent and efficient technologies. My journey started with a curiosity about blockchain's core principles and has evolved into a hands-on passion for building the secure, on-chain foundations of dApps. While I can navigate the full stack, my true expertise and passion lie in the backend—architecting smart contracts, optimizing for gas, and solving complex logical problems with code.

🎯 Core Competencies

• Blockchain & Smart Contracts:
  • Languages: Solidity (Advanced), Python (Intermediate), JavaScript (Intermediate)
  • Tools: Hardhat, Ethers.js, Remix, OpenZeppelin Contracts
  • Concepts: Gas Optimization, EVM, dApp Architecture, DeFi Principles, Smart Contract Security
• AI & Research:
  • Skills: Machine Learning, Deep Learning (CNNs, Transformers)
  • Tools: PyTorch/TensorFlow, Scikit-learn, Pandas
  • Focus: Model Development, Data Analysis, Explainable AI (XAI)

🚀 Project Deep Dives

1. MetaNest Wallet (Smart Contract Architect)

MetaNest is a gas-optimized crypto wallet designed for a human-first experience. My role was to serve as the sole smart contract engineer, responsible for all on-chain logic.

• My Core Responsibilities:
  • Architected and developed the primary MetaNest.sol contract from scratch.
  • Engineered the core transaction logic, ensuring security and efficiency for transfers.
  • Wrote the logic for contact management and transaction history retrieval.
  • Key Learning: This project taught me the critical importance of writing clean, well-documented, and highly secure Solidity code. I learned to think adversarially, anticipating potential attack vectors and building robust defenses directly into the contract architecture.

2. Medical Imaging Research (AI Researcher)

This research internship focused on developing a novel hybrid CNN-Transformer model for advanced medical image analysis.

• My Core Responsibilities:
  • Developed and trained the hybrid model using Python and PyTorch/TensorFlow.
  • Focused on implementing Explainable AI (XAI) techniques to understand the model's decision-making process.
  • Prepared the findings with the goal of co-authoring a paper for a top-tier academic conference.
• Key Learning: This experience sharpened my ability to dissect and understand highly complex systems. The rigor required for AI research directly translates to my approach in Web3, where I can meticulously analyze intricate protocols and smart contract interactions.

💼 What I'm Looking For

I am seeking a challenging internship or entry-level role where I can apply my skills to real-world problems. I am most excited by opportunities in:

• Smart Contract Development: Writing, testing, and deploying secure and efficient smart contracts.
• Protocol Engineering: Contributing to the core logic of DeFi protocols, L2 solutions, or other decentralized infrastructure.
• Web3 Security Research: Analyzing smart contracts for vulnerabilities and contributing to a safer ecosystem.