Indicators
- Last project: 1 month back
- Bids in the last two weeks: 2
- Collaboration with clients: 2
- Last visit: 19 hours 24 minutes ago
Specializations
CV
Hello!
I am a Quantitative Software Engineer with a background in high-energy physics
I specialize in developing infrastructure for data collection, algorithmic trading, and Web3. From deep R&D (Research & Development) of markets and strategy backtesting to writing fast execution routers - I help transform a raw idea into a systematic, profitable algorithm.
How exactly I can help you (My services):
R&D, On-chain Analytics & Niche Discovery: Have an idea (e.g., an arbitrage algorithm or a MEV bot) but aren't sure where to deploy it best? I conduct deep quantitative market research: analyzing blockchains, exchanges, liquidity, and competition. I will help you find the optimal network and niche specifically for your strategy and capital size.
Backtesting & Strategy Validation (Quant Research): Testing your trading logic on historical data with rigorous statistical analysis. I will build a test environment (Paper Trading / Backtester) and mathematically prove whether the strategy works or not, completely eliminating the risk of historical overfitting.
Microstructural Data Collection (Data Engineering): Setting up continuous collection of Order Books (L2), ticks, or historical data from crypto exchanges, Polymarket, or DeFi protocols. Packing data into convenient formats (Parquet, DBs) for further analytics with zero data leakage.
Trading Bots & Execution Systems Development: Creating scripts and routers for automated trading. I develop logic that accounts for real market conditions: network latency (latency tax), spread widening, slippage, and protection against toxic order flow.
System Development & DeFi Infrastructure: Designing a fault-tolerant backend for blockchain interaction. From reliable routing via RPC nodes and smart contract integration to deploying scalable server architecture. I ensure stable system performance with no bottlenecks.
My Technical Stack:
Languages & Backend: Python (FastAPI, Pandas, statistical analysis), Rust (high-performance modules, system logic), TypeScript.
Web3 & Crypto:
Smart Contracts & EVM: Solidity (reading, development, and auditing of economic logic), deep understanding of EVM architecture, gas optimization, and state management.
Network Interaction: Ethers.js, Web3.py, low-level RPC request optimization (WebSockets, Multicall, transaction batching) to minimize latency.
DeFi & On-chain Mechanics: Mempool analysis, understanding of DEX architecture, lending protocols, prediction markets (Polymarket), and MEV activity vectors.
Data Engineering: Parquet Data Lakes, PostgreSQL, optimization of time-series data storage.
Infrastructure: Docker, Linux, setup of cloud or dedicated servers (AWS, GCP, Bare Metal) depending on the project's latency requirements.
Working Format:
I can work either as an independent R&D researcher (audit, analytics, consulting) or as a hands-on engineer writing production code.
Thank you for your attention! 😼
Skills and abilities
Programming
Services
Administration
Portfolio Works
Client reviews
Finding and Deploying the Best Projects for 4 Mac Mini M4 Machines
5.0
Analysis of the bot's structure
5.0
Indicators
Total projects:
2
Average rating:
5.0
5.0
Professionalism5.0
Quality5.0
Price5.0
Contactability5.0
DeadlinesActivity
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Project
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Type | Budget | Proposal | Deadline | Added |
|---|---|---|---|---|---|
| Not specified |
22 USD
|
1 day | 29 Jul | ||
| Not specified |
22 USD
|
1 day | 29 Jul | ||
| 6886 USD |
6886 USD
|
77 days | 18 Jul | ||
| 179 USD |
448 USD
|
7 days | 18 Jul | ||
| 3673 USD |
3673 USD
|
7 days | 18 Jul | ||
|
Freelance project
|
Not specified | concealed | 20 Jun | ||
| 604 USD |
604 USD
|
1 day | 19 Jun | ||
| 16 USD |
16 USD
|
1 day | 18 Jun | ||
| 8000 USD |
8000 USD
|
14 days | 10 Jun | ||
|
Finding and Deploying the Best Projects for 4 Mac Mini M4 Machines
|
200 USD |
200 USD
|
7 days | 7 Jun |