Presentation
On the web side I do React, Next.js, MUI on the frontend and Python/Django, Node.js, and some Java on the backend. REST APIs, microservices, data-heavy apps. I also do mobile and a fair bit of blockchain and dApp work.
I'm the lead dev and co-founder of Valmira(a multi blockchain token launchpad on Ethereum & Binance Smart Chain), a non-custodial on-chain market-making platform for DEXs. I built the whole stack end to end. We got picked as a top-10 team in the Somnia Dreamathon, which felt good honestly, kind of validated the direction.
I studied computer science, mostly software engineering, distributed systems, and applied math, and later mentored students and helped out on university tech projects.
I like building from first principles and moving fast, and I take full ownership of the messy parts. I'm fine working solo or in distributed teams, and I care about clear communication and code that doesn't fall apart six months later. If you need a full-stack or blockchain engineer who gets architecture, scaling, and AI integration, I'd be happy to help.
Let's build something real.
Background
● Developed bot management modules (Snipe Bot & Liquidation Bot) that interact with smart contracts to automate trading, liquidity management, and asset distribution across wallets.
● Integrated Ethers.js for real-time communication with blockchain networks, enabling wallet-based authentication, contract data retrieval, and secure transaction triggers.
● Designed and implemented modular bot performance tracking with log filtering, date pickers, and dynamic rendering to help users analyze historical blockchain activity.
● Designed and implemented dynamic token analystic and metric cards, providing real-time visualization of profit trends, trading volume, and performance indicators.
● Developed interactive chart components using modern libraries (e.g, Recharts, Chart.js, D3) to improve clarity and visual hierarchy in the project detail dashboard.
● Implemented real-time blockchain event updates via WebSocket and RPC-based listeners to synchronize dashboard data with live on-chain state changes.
● Collaborated with the design team to define clear UI/UX flows for multi-bot management, including functionality for custom parameters, bubble map integration, and modular bot detail pages.
● Integrated AI models (TensorFlow & Scikit-learn) for predicting appointment no-shows and optimizing scheduling,
improving efficiency by 30%.
● Automated backup and content synchronization pipelines using AWS Lambda and S3, achieving 100% content reliability.
● Built GraphQL and REST APIs using TypeScript, improving integration flexibility and reducing redundant data fetching.
● Developed a smart E-commerce platform with AI-driven product recommendations and personalized shopping experiences using Python (FastAPI) and TensorFlow.
● Integrated Stripe and PayPal payment gateways with AI-based fraud detection, reducing suspicious transactions by 30%.

