build nft marketplace, minting website
Hello. I am a full-stack blockchain developer with rich experience in developing various Dapps such as Defi, DEX and NFT projects. I am a senior smart contract developer who has 4 years solidity experience.
I attended to many smart contracts development for Defi, Dex, NFT and P2E Game projects so far.
Being well versed in backend I also have notable experience and expertise in python, django and AI as well. I have 5 years experience in tensorflow and pytorch, and also I developed and worked with multiple gpu supporting HPC for training ML models through Google Cloud and Amazon Web Service.
From 2015, I researched many ML projects with CNN,RNN and transformers.
My team worked with the followings:
https://lucidlands.io (P2E 3D Chess Game)
https://dice.game (Casino Game)
https://stixex.io/# (Prediction Game)
https://tubularturtles.com (NFT Mint Site)
http://secureex.bget.ru/gg-fe/# (NFT Marketplace)
I have the following skill set :
- Blockchain relevant development
* Smart Contract using ERC20, ERC721, ERC1155, BEP20, SPL
* Truffle, hardhat, Solidity, Git, Remix
* DeFi(Decentralized Finance) DApps such as Lending, Staking, Banking, CEX/DEX
* Deploy and Testing by Truffle/Hardhat
* NFT Apps such as minting sites and marketplace based on ETH, BSC and Solana using Solidity and Rust.
* Crypto Play to Earn game
* Web3.js, Web3.py for Blockchain Interactive with Frontend
* Olympus DAO, Pancakeswap, Uniswap fork
* Crypto Trading bot(sniper bot, arbitrage bot, frontrunning bot)
* Backend with GraphQL on various blockchain networks
- Web development
I have loads of experience in both frontend & backend development using various web frameworks including Node.js, React.js, Next.js and Django.
ILSVRC DNNs: VGG, Inception, Resnet, Mobilenet, Densenet, Alexnet, Cifarnet
Object Detection DNNs: Mask_RCNN, SSD-Tensorflow, Yolo
Image Segmentation DNNs: Mask_RCNN
OCR: Tesseract, East, R2CNN, Synth-text-Chinese
Speech Recognition: Deepspeech, Deepspeech2, End-to-end-ASR-Pytorch, Returnn, Espnet
Speech Synthesis: Tacotron-2, Fastspeech2
Speech Denoising: DNSChallenge, Segan, Sednn
Acoustic Echo Canceller: AECChallenge
Voice Conversion: CVC, CycleGAN-VC2
Vocoder: Parallel WaveGAN, MelGAN, Wavenet
IC Placement: Simulated Annealing + Reinforcement Learning
Stock Price Prediction: StockPrice
Text-To-Image/Video Generation: VQGAN, VQGAN-CLIP
I would like to get a good friendship throughout honest and hard working.