- Architected and implemented a trading system from scratch, deploying on AWS. Integrated real-time data processing and robust security measures, achieving over $2.7 million in trading volume within the first 4 days.- Worked with a cross functional team of engineers and designers to launch a customer loyalty program, driving the project's growth from 0 to $12 million in total value locked. - Employed React, React Native, and Unity in the development of Ethlas's flagship games, leading to over 15 million gameplays and a 50% rise in user retention.- Implemented revenue strategies for Komo Valley, a digital collectible game, achieving a 200% revenue surge within a month by introducing microtransactions and rewarded ads to boost user spending and diversify income streams.- Led the implementation of AWS Nitro Enclaves for secure, non-custodial wallets, abstracting away Web3 complexities; drove user wallet adoption from 11% to 92%, improving user engagement and on-chain transactions.- Developed and released the ReadyNFT Unity SDK, an intuitive C# framework for easy on-chain user engagement, facilitating the onboarding of thousands of users into Web3.Skills: React, Next.js, React Native, Unity, Smart Contracts, Solidity, JavaScript, TypeScript, Python, C#, AWS, GCP, GPT 4o, Text to Image, Firebase, PostgreSQL, Docker, Message Queues

- Led development of an NFT based ticketing platform using React and Django, enabling organizers to issue NFT based tickets, earn royalties, and regulate resellers. Successfully raised $30,000 USD in developer grants to further enhance the project.- Developed dashboards to enable event organizers to visualize trends in ticket sales and revenue, thereby reducing the time spent on analysis by 85%.- Engineered a seamless MetaMask integration via Ethers.js, enabling Ethereum (ETH) payments for tickets. Additionally, established a robust RabbitMQ message queue to optimize and ensure a bug-free NFT ticket minting process on the backend.- Developed a Know Your Customer (KYC) solution for NFT creators to obtain information about the holders of their NFTs. The KYC solution has been used by It’s the Ship (ITS), Asia’s largest music festival at sea, to throw parties for their NFT holders.Skills:React, Next.js, Django, Python, JavaScript, TypeScript, Flutter, Smart Contracts, Solidity, AWS

- Performed analysis on Shopee Express’ (SPX) driver pin data and proposed rulesets to ingest data from specific sources, thereby increasing accuracy of the point of interest (POI) models by almost 14%.- Developed a Named Entity Recognition (NER) model using Conditional Random Fields (CRF), and combined the results of the same with a rule-based model, to parse different components of addresses with an accuracy of up to 94.1%.- Developed and trained LamdaMart, a gradient boosting learning to rank model – first discussed in a Microsoft research paper, to re- rank the elastic search outputs to provide users with addresses that closely resemble their input.- Utilized unsupervised machine learning techniques to train tokenizers to split user input addresses, especially mistyped addresses, into their respective tokens to allow for better output from other models that rely on tokenized addresses.Skills:Machine Learning, Natural Language Processing (NLP),Extract Transform and Load (ETL), Data Pipelines, Hive, Data Science, Tokenization, BERT, Classification, Gradient Boosting, Named Entity Recognition, Spark, Airflow, Python, PyTorch, TensorFlame

- Spearheaded a team of 7 in the development of a cutting-edge crypto portfolio aggregator for Grasshopper, a proprietary trading firm with a monthly notional value exceeding US$ 500 Billion.- Implemented advanced algorithms that seamlessly aggregate holdings across CeFi exchanges, wallets, and DeFi protocols. This solution led to a 95% reduction in the time traders spent manually aggregating their portfolios.- Engineered algorithms to meticulously analyse extracted data, delivering essential performance metrics, including profit and loss and break-even prices. This resulted in a 90% reduction in time spent on portfolio analysis by traders.Skills:GraphQL, API Gateways, Mocha (JavaScript Framework), TypeScript, Java, Cloud Firestore, Apollo GraphQL, JavaScript, Jest, Front-End Development, React.js, Software Development, Amazon Web Services (AWS), Firebase, GPT-3, Chai.js, Back-End Web Development

- Developed a comprehensive end-to-end product with a user interface and backend model inference, automating financial document analysis.- Developed an inference pipeline using OCR and NLP techniques, including named entity recognition and sentiment analysis, to extract insights from documents, thereby reducing the processing time per customer by 80%.- Developed object detection algorithms using the OpenCV library to recognize and extract tabular data from financial documents with an accuracy of 92.2%.- Proposed rulesets and developed scripts to mask sensitive information in the data ingestion pipeline and identified security vulnerabilities in the source code, implementing robust fixes for issues of varying severity.Skills:Natural Language Processing (NLP), Data Analysis, OpenCV, Optical Character Recognition (OCR), Data Science, Python (Programming Language), Information Retrieval