Alexei Khachatrian
I’m a senior software development engineer with 10+ years of experience building distributed systems, cloud infrastructure, and SaaS platforms, often in reliability- and latency-critical environments.
About
I’m a senior software development engineer with 10+ years of experience building distributed systems, cloud infrastructure, and SaaS platforms, often in reliability- and latency-critical environments. I’ve worked across multiple technology ecosystems (Python, PHP, JavaScript/Node.js) with deep backend expertise, and I’m comfortable operating production platforms at hundreds of requests per second while planning safe scaling to higher throughput.
Beyond day-to-day engineering, I enjoy solving hard system and automation problems—whether that’s query and ingestion performance on petabyte-scale PostgreSQL, building multi-tenant services with strong security controls, or researching software automation in bioinformatics. I’ve also contributed to open-source with a security focus, and I’m currently pursuing a PhD in Computer Science, aiming to push the boundary of automation tools for data-intensive scientific workflows.
- 10 years' experience
- Joined October 2026
Skills· 13
Languages
- EnglishAdvanced
- RussianFluent
- ArmenianFluent
Industry experience
- Software & Internet
- Financial Services
- Healthcare
- Professional Services
- Media & Entertainment
- Other
Work experience· 9 roles
Applied research at the intersection of computer science and bioinformatics. Building Python-based automation tools for molecular and protein analysis: aggregating protein-bank data into unified internal datasets, developing AI-driven recommendation systems from researcher behavior, and constructing a drug-design automation pipeline that simulates molecule interactions against human proteins using heavy compute workloads on the Aznavour supercomputer.
Building automation software for emergency-services platforms deployed internationally, primarily in the US. Architecting and operating backend systems where reliability and latency are non-negotiable, including a production platform operating at ~600 requests/second with plans to scale toward 1000 requests/second.
Built analytics features for a Wildberries-marketplace platform on a ~2 PB PostgreSQL dataset. Worked on query performance, ingestion, and feature development under heavy data volume, focusing on efficient data processing and scalable backend behavior.
Education
Certifications and awards
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