* Built an AI-powered crypto analytics web app using Next.js, React, and Python for real-time Solana trading insights.

* Integrated a voice-to-video Simli agent to generate AI-driven video content for token analysis.

* Developed smart money tracking, holder analysis, and Twitter sentiment scraping for live market intelligence.

* Created AI Twitter bots with LangChain + OpenAI (RAG architecture) for dynamic crypto commentary and automated engagement.

* Integrated BitQuery and BirdEye APIs for blockchain and token analytics with asyncio-based parallel data collection.

* Built multi-proxy bots for coordinated social media interactions.

* Designed an AI research agent that gathers real-time token data to generate actionable insights and reports, and engages users in natural conversations about emerging crypto and DeFi trends.

• Developed a smart contract audit tool in Python using Slither to identify common vulnerabilities

• Enhanced token reporting and research automation using Google Apps Script (JavaScript)

• Integrated DeFi Scanner smart contract analysis into the internal reporting flow

• Created token risk frameworks for EVM-compatible tokens, Solana tokens, etc.

• Automated Solana token audit processes

• Integrated token monitoring alerts into internal systems

• Developed an implementation plan for an AI similarity search tool, leveraging vector embedding or

GraphReader approaches

• Explored partnerships and use cases with web3 security tools such as Hypernative and Hexagate

• Reviewed 3rd-party protocol security audits, validated recommended changes, and provided risk

assessments

• Conducted comprehensive research to develop due diligence reports for tokens under consideration for

listing

• Created a blockchain security roadmap and began its implementation within the team

• Analyzed ERC20, ERC721 tokens, and blockchains for security vulnerabilities, utilizing internal tools.

• Audited smart contracts to identify and mitigate security risk

• Contributed to the improvement of internal tools

• Collaborated with Engineering and Business to launch the trading platform and fine tune WebSocket and FIX APIs

• Built Market Data and Order Flow adapters utilizing QuickFIX and WebSocket libraries

• Created reusable tools in Python (algo trading bots, data scraping bots, etc.)

• Wrote Python code to test new exchange features and bug fixes through APIs

• Troubleshooted issues and provided feedback on trading system functionality

• Created technical documentation for Websocket and FIX API specifications

• Conducted data-driven analyses on market dynamics and growth opportunities

• Worked with the sales and engineering teams to capture client requirements and develop new product features

• Developed strategies for investigative analysis and due diligence reporting

• Worked with partners to develop use cases with a focus on financial institutions

• Investigated cryptocurrency crimes and identified new sources of off-chain data