Adarsh Rouniyar

Kaohsiung, Taiwan | CTO | AI Systems | Web3 Infrastructure

I build production systems for AI, DeFi, security, and real-world operations.

I lead products that move beyond demos: multi-chain staking infrastructure, secure referral systems, LLM-powered intelligence workflows, and blockchain monitoring built to survive production conditions.

1M+ USDT/USDC TVL secured BNB Chain, X Layer, Base 16 audit findings remediated RAG + live market data pipelines
Download Resume GitHub LinkedIn
Email: adarsh@csie.io Phone: +886 937 772 769
1M+
TVL on live staking platform
16
Audit findings remediated
24/7
Monitoring mindset for production
Protocol State Operational Multi-chain staking and rewards flows in production
Security Layer Verified Signed wallet ownership, anti-replay, audit remediation
AI Pipeline Context Aware RAG and live market feeds for grounded crypto workflows
Wallet Auth EIP-191 signed verification
Reward Engine Snapshot accounting and reconciliation
Observability Telegram alerts and chain activity monitoring
TVL +1M USDT/USDC BNB Chain online X Layer online Base online EIP-191 verification active RAG pipeline active Audit remediation validated Telegram alerts online TVL +1M USDT/USDC BNB Chain online X Layer online Base online EIP-191 verification active RAG pipeline active Audit remediation validated Telegram alerts online
Chain Matrix Live
BNB Chain Staking + claims Production transaction routing and event handling
X Layer Referral + rewards Wallet binding, claim flows, payout reconciliation
Base Multi-chain support Normalized receipts and fallback-aware UX behavior
Signal Console Streaming
SEC CredShields findings remediated and passed retest validation
OPS Telegram monitors tracking events, admin anomalies, and chain activity
AI LLM assistant ingesting retrieval context and live market signals
DEV Codex-assisted workflows paired with manual validation and release checks

Projects

WStaking Multi-Chain DeFi Platform

Web3 Infra

Production staking platform spanning BNB Chain, X Layer, and Base with secure wallet flows, referral operations, and live capital at scale.

  • Led delivery of staking, rewards claim, auto-renew, and unstake flows across three chains.
  • Built referral APIs, signed wallet-code binding, and duplicate-claim protections.
  • Implemented receipt normalization and event parsing fallback to reduce false failures in UX.

Stack: React, TypeScript, Wagmi, Ethers.js, EVM, Firestore, Linux

Live platform Strategies repo

Almond teAI

Security AI

AI-powered code security scanner and trust platform designed for repositories, code uploads, websites, and upcoming smart contract audit workflows.

  • Implemented static analysis, secret detection, dependency checks, and regression tracking.
  • Built PDF reporting and trust verification surfaces for security transparency.
  • Expanding the platform toward Web3 security analysis across EVM ecosystems.

Stack: Next.js, TypeScript, Prisma, SQLite, security analysis

Crypto AI Assistant

LLM + RAG

LLM-driven crypto intelligence assistant using retrieval and real-time market feeds for contextual, grounded analysis.

  • Built RAG pipelines and live data integration for automated insights and decision support.
  • Designed with deployment, monitoring, and production reliability in mind.

Stack: Python, NLP, RAG, REST APIs, Docker, Kubernetes

Automated Trading Infrastructure

Automation

Containerized trading systems combining programmatic execution, signal filtering, and exchange APIs for live operation.

  • Built Python-based bots with OKX integration and TradingView Pine Script workflows.
  • Focused on operational reliability for real execution rather than backtest-only prototypes.

Stack: Python, OKX APIs, Docker, Pine Script

Eff-AQI Federated Learning System

Research

Published CNN-based air pollution estimation project with public dataset artifacts and reproducible research pipeline.

  • Built the image-based AQI classification dataset and training workflow.
  • Published supporting artifacts on Kaggle and GitHub for reuse.

Stack: TensorFlow, PyTorch, CNNs, federated learning

Kaggle DOI Dataset repo

Experience

Chief Technology Officer & Applied AI Engineer - Whale Strategy Co., Ltd.

Apr 2024 - Present
  • Led end-to-end delivery of a production multi-chain staking dashboard and secure referral platform.
  • Designed EIP-191 signature-based ownership verification and anti-replay claim flows.
  • Built monthly snapshot reward accounting, claim reconciliation, and auditable payout history.
  • Resolved critical-to-informational smart contract audit findings and passed retest validation.
  • Deployed Telegram-based monitoring for staking events, admin access anomalies, and chain operations.
  • Developed LLM-powered crypto workflows, trading automation, and production website operations.

AI Research Assistant & Project Assistant - National Chung Cheng University

Nov 2021 - May 2024
  • Conducted applied research in federated learning and trustworthy AI for smart-city systems.
  • Built CNN-driven prediction models and distributed ML pipelines with TensorFlow and PyTorch.
  • Published work in IEEE ISC2, ACM GoodIT, Future Internet, and Artificial Intelligence Review.

Technical Skills

AI & ML

  • LLM integration, RAG, NLP pipelines, deep learning, computer vision
  • Federated learning, model aggregation, applied ML systems

Blockchain & Security

  • EVM smart contracts, multi-chain dApps, Wagmi, Ethers.js
  • EIP-191 verification, on-chain events, static analysis, dependency checks

Backend & Infra

  • Python, Rust, TypeScript, JavaScript, Node.js, REST APIs
  • Docker, Kubernetes, GCP, Linux, Prisma, SQLite, Firestore

Publications

Selected Publications

  • Artificial Intelligence Review (2024): Federated Learning Design and Functional Models: Survey
  • Future Internet (2023): Federated Adversarial Training Strategies for Sustainable Smart Cities
  • ACM GoodIT (2023): Eff-AQI: Efficient CNN-Based Air Pollution Estimation
  • IEEE ISC2 (2022): Federated Trustworthy AI Architecture for Smart Cities

Education

  • M.Sc., CSIE: National Chung Cheng University, Taiwan
  • B.Tech., CSE: Vel Tech University, India

Additional

  • Languages: English, Hindi, Nepali; Mandarin (basic)
  • Open-source work across Strategies, WStaking, and research repositories

Contact

adarsh@csie.io LinkedIn GitHub Resume PDF

Open to AI systems, Web3 infrastructure, and security-focused engineering opportunities.