Aditya Kumar

Co-Founder

Lucknow, Uttar Pradesh, India1 yr 5 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in DeFi and blockchain technologies.
Proven track record in quantitative trading strategies.
Strong background in machine learning applications.

Stackforce AI infers this person is a Fintech expert with a strong focus on quantitative analysis and blockchain development.

Contact

Skills

Other Skills

.NET FrameworkAlpha researchAnalytical SkillsBlockchainC#ClassificationComputer ProgrammingControl problemsConvolutional Neural Networks (CNN)Data AnalysisData CleaningDeep LearningDeep Neural Networks (DNN)Deep Reinforcement LearningDerivatives

About

"Just mastering the art of being more chaotic than the chaos of my academics."

Experience

Timelock trade

Founding Engineer

Jun 2025 – Dec 2025 · 6 mos

1000x leverage, zero liquidations
Uniswap V3's leverage pioneer
Oracle-free, governance-free
only immutable truth

Quranium

2 roles

DeFi Protocol Engineer

Promoted

Apr 2025 – Present · 11 mos · Prilly, Vaud, Switzerland

🔸Leading Qxswap (Native Quranium Dex)

Blockchain Developer

Oct 2024 – Mar 2025 · 5 mos · Prilly, Vaud, Switzerland

🔸 Recieved Full-time Role as DeFi Protocol Engineer
🔸Tech Lead in NFT-Wallet (Token bound
Account Abstraction ERC-6551, ERC-4337) and Contributing in Q-NFT, Q-Dex, Q-Token Creator.
🔸Core contributor in Node selling dApp, it is a business model where infrastructure providers offer access to blockchain or server nodes, enabling clients to participate in networks, validate transactions, or power decentralized applications with minimal setup and maintenance.

Hustle fund

Angel Squad Member

Apr 2025 – Jun 2025 · 2 mos · New York, United States

🔸Learning how to be an angel and a good investor, and understanding the economics and psychology of the venture capital system.

Yieldfi

Quant DeFi Strategist

Jan 2025 – Dec 2025 · 11 mos · Dubai, United Arab Emirates

🔸Building on-chain Strategies
🔸Optimized yield mechanics to drive APY (weekly) from 6% to 22% in two months.

Blockhouse

Quantitative Strategist

Oct 2024 – Mar 2025 · 5 mos · New York, United States

🔸 Developed a myopic linear regression model to optimize trade impact and PnL, benchmarking against market performance.
🔸 Built a custom equities price impact model demonstrating strong performance of well-tuned linear models.
🔸 Created a backtesting environment from scratch using CPCV to prevent data leakage and ensure robust validation.
🔸 Designed and implemented a Smart Order Router based on Rama Cont’s framework for optimal order placement.

Finzie

Machine Learning Engineer

Aug 2024 – Sep 2024 · 1 mo · Gurugram, Haryana, India · Hybrid

🔸Built a end to end api-microservices website that utilizes a deep learning neural network to detect who will win NBA games.
🔸We use 42-48 different data points to predict the outcome of a game. In our testing phase we have been able to predict the outcome of games with 60% accuracy.