tatas tatashandharu15

👋 A little about me

I enjoy building software that connects the dots — from backend systems and AI-powered workflows to the possibilities of Web3.

I’m usually curious about how things work under the hood: how data moves, how services fit together, how AI can make a workflow smarter, and how to turn an idea into something people can actually use.

Right now, I’m exploring the space where software engineering × AI × blockchain meet. This profile is my workshop: experiments, projects, and things I’m learning along the way.

🚀 Things on my workbench

⛓️ Cryptonite Engine

A project exploring blockchain-focused engineering and tooling.

🌐 Nexchain

A Web3 project space for exploring blockchain ideas and implementation.

🧠 AI-Assisted Lead Management

An application focused on bringing AI assistance into a lead-management workflow.

🔎 CV Analytics with LLM

An experiment with using large language models for CV-related analysis.

🛡️ Cyber Threat Intelligence

A project in the cybersecurity intelligence space.

📊 Data & Monitoring Projects

A collection spanning stock-price prediction, brand monitoring, and project monitoring.

🧰 Technical Toolkit

Languages

Software Engineering

Databases & Data Access

AI, LLM & Machine Learning

DevOps, Cloud & Observability

Web3 & Blockchain

Data Science, BI & Automation

🧩 Software Engineering & Architecture

Backend and platform engineering
REST API design and service integrations
Authentication and session management (JWT)
Database modeling, migrations, and ORM workflows
Modular application architecture and domain-based services
Testing, debugging, code review, and maintainability
Real-time integrations with WebSockets
CI/CD and repeatable deployment workflows

🤖 AI & LLM Engineering

OpenAI API and Google Gemini
LangChain and Hugging Face
Retrieval-Augmented Generation (RAG)
AI agents, tool integrations, and structured outputs
Prompt engineering and LLM application integration
Applied NLP and document intelligence
AI workflow automation and monitoring

📈 Data Science & Analytics

pandas, NumPy, scikit-learn
Data cleaning and feature engineering
Model evaluation and experimentation
Time-series analysis and forecasting
ETL pipelines and data visualization
Tableau, Looker Studio, and Power BI
Google Analytics 4 and measurement workflows

⛓️ Web3 & Cyber Intelligence

Languages: Solidity for smart contracts; Go, TypeScript, and Python for blockchain-connected services and applications
EVM ecosystem: Ethereum, EVM-compatible networks, and testnets
Smart contracts: Foundry workflows and OpenZeppelin libraries
Application integration: Web3.py, wagmi, and viem
On-chain data: wallet intelligence, RPC integration, transaction analysis, and risk-analysis concepts
Cyber threat intelligence and OSINT-oriented workflows
Monitoring, alerting, and operational dashboards

_{Icons use Skill Icons and Shields.io. Technologies reflect areas represented across engineering, AI, data, monitoring, and Web3 work; individual repositories show the actual implementation and current project status.}

Engineering Principles

Maintainability first: clear boundaries, readable code, and explicit contracts.
Test beyond the happy path: validate edge cases and failure behavior.
Security as a baseline: validate inputs, protect secrets, and review dependencies.
Operational clarity: document configuration, setup, and troubleshooting.
Honest delivery: separate implemented features from experiments and planned work.

GitHub Activity

Current Direction

Building reliable backend and AI-powered applications.
Exploring practical Web3 and blockchain tooling.
Improving test coverage, documentation, and repeatable engineering workflows.

Build useful systems. Make them reliable. Keep learning.
_{Jakarta, Indonesia · UTC+7}

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