Lachezar D.
AI Agents Developer
Experience
Jul 2025 - Present
3 monthsAI Agents Developer
Synergy Effect
- AI workflow engineering: Architected complex end-to-end automation systems in n8n combining email processing, multi-language data parsing, API orchestration (Venipak, Hanna CRM), and web automation via Puppeteer — delivering production-grade workflows that eliminated 85+ manual hours monthly and handled thousands of data points across multiple languages.
- Advanced prompt engineering: Designed sophisticated AI agent prompts with structured outputs, conditional branching, and multi-layered validation achieving 90%+ accuracy rates across diverse edge cases and unexpected inputs.
- Hybrid architecture: Built scalable systems combining AI reasoning with deterministic logic, JavaScript processing nodes, and database integration — ensuring modularity, reliability, and seamless future extensibility.
- Production-grade reliability: Implemented comprehensive error handling including automated alerting, user confirmation workflows, fallback systems, and multi-language support — ensuring enterprise-level stability and accountability.
Sep 2022 - Jun 2025
2 years 10 monthsData Scientist
Nexo
- Blockchain data reconciliation: Developed processes that reduced monthly reporting time by 75% (from four weeks to under one week) using Python, SQL, and AWS cloud services (Amazon S3, AWS Lambda, Athena).
- Workflow optimization: Streamlined project workflows, increasing overall efficiency by 25%.
- Technical development: Created Python scripts (leveraging libraries such as pandas, numpy, and awswrangler) to reconcile data across multiple EVM chains and custodian wallets, processing over 500,000 transactions monthly.
- Pipeline enhancement: Integrated five new blockchains into the accounting data pipeline, resolving critical errors and enhancing data accuracy.
- Real-time monitoring: Designed a real-time progress tracking system during reconciliation to improve team coordination.
- Automation & reporting: Automated data reporting to Google Sheets for consistent visualization and analysis.
- Data aggregation: Built scripts for on-demand MS Excel formatting and data aggregation using EVM explorer APIs (Etherscan, Arbiscan, BscScan) to fill historical data gaps.
- Notebook environment: Utilized Jupyter Notebooks for rapid prototyping and data analysis, demonstrating adaptability to interactive coding environments.
- Process analysis & optimization: Analyzed accounting workflows by collaborating with finance teams, identified automation opportunities, and developed a Python solution using Gmail and Google Drive APIs to streamline invoice processing and reporting.
- Data ingestion refinement: Tested and refined data ingestion methods based on feedback.
Summary
AI Workflow Engineer with 3+ years of experience, evolving from data engineering (Python, SQL, AWS) into building AI-driven automation.
I specialize in n8n workflow orchestration, API integrations, and JavaScript-based systems that translate complex business needs into production-ready solutions.
My data engineering background ensures reliability and scalability, while my focus on intelligent automation enables organizations to cut manual effort and adapt quickly to changing requirements.
Fluent in English and passionate about designing AI agents that balance autonomy with enterprise-grade robustness.
Languages
Bulgarian
NativeEnglish
AdvancedSpanish
ElementaryEducation
Sep 2018 - Jun 2021
City, University of London
BSc Mathematics with Finance and Economics · Mathematics · London, United Kingdom · Class I honors
Sep 2013 - Jun 2018
American College of Sofia
Diploma for Secondary Education · Sofia, Bulgaria · 5.83/6.00 (A-level equivalent: AAB)
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