Serdarov Durdymyrad
Automation Engineer
Automation Engineer
Core expertise - automating operational processes in Web3, crypto, and sales-driven systems, with a focus on eliminating manual labor and scaling without growing the team. I design and ship bots and backend systems for engagement operations, token liquidation, and sales analytics. I integrate external services into a single orchestration layer controlled through a Telegram interface - turning chaotic, people-dependent processes into deterministic systems with measurable outcomes.
05.2025 — Now
Web3 Automation Engineer in Influence Marketing Agency
Location: Kazan, GMT +3
Languages: Russian (Native), English (B2), Turkmen (Native)
Telegram: @atserdarov
Email: serdarovatajan55@gmail.com
GitHub: github.com/are-you-serat
Linkedln: Serdarov Durdymyrad
2025
Engagement orders were placed manually through multiple third-party services. The process was slow, error-prone, and impossible to scale.
Key value: Replaced a human operator with a fully automated orchestration system.
2025
Token liquidation was handled manually, requiring constant chart monitoring and emotionally driven real-time decisions.
Key value: Automated a financial process with direct impact on profit and risk reduction.
2025
Sales teams needed a constant stream of new crypto projects. Token research, competitor monitoring, and dev contact discovery were fully manual.
Key value: Fully automated sales analytics and lead generation for crypto projects.
2025
Sales teams avoided working with Pipedrive CRM due to its heavy interface, leading to missing or delayed data.
Key value: Replaced a complex CRM interface with a conversational AI layer.
System Architecture
Designed a unified abstraction layer over 5+ heterogeneous SMM provider APIs with inconsistent schemas and rate limits.
Stack: Webhook listeners, JSON-Schema mapping, Async Request handling.
DeFi Engineering
Automated non-custodial token swaps using Solana/EVM aggregation protocols (Jupiter, LI.FI).
Stack: LI.FI SDK (TypeScript), Python (Web3.py), RPC Management, Cross-chain Aggregators.
Data Engineering
Built a scalable scraping and monitoring pipeline for X (Twitter) and Telegram data extraction.
Stack: Scraping, Vector DB (Qdrant/Chroma), OpenAI Embeddings, Async IO.
AI Implementation
Created a Natural Language Interface (NLI) layer between Telegram and Pipedrive REST API.
Stack: LLM Tool Calling, MongoDB (Memory), Prompt Engineering, Pipedrive API.