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Aleksandr Gladkikh

Go Developer · AI & Low-Latency Systems

Middle Алматы, Georgia
6 г. 3 мес. опыта 20 навыка

О себе

Backend engineer with 4+ years in Go, focused on high-performance distributed systems and FinTech. Experience building low-latency execution engines, real-time market-data pipelines, and monolith-to-microservices migrations, with hands-on integration of AI/LLM agents into production. A quantitative foundation in biostatistics underpins work in data-heavy backtesting and statistical analysis.

Опыт работы

BitsGap

03.2025 — 06.2026 1 г. 3 мес.

Backend Developer

Middle Удалённо

Architected a multi-agent system using LangChain for real-time market sentiment analysis and signal generation, reducing decision-making latency by ~20%. Built an event-driven order execution service for trading bots on Go/gRPC, handling 10k+ orders/sec with idempotency and exactly-once event publishing via the outbox pattern. Cut WebSocket message-processing latency by ~30% (p99) via pprof-guided work: jsoniter parsing, sync.Pool buffers, and batched DB writes via group commits.

  • Reduced decision-making latency by ~20%
  • Handled 10k+ orders/sec with idempotency
  • Cut WebSocket message-processing latency by ~30% (p99)

Wildberries

10.2023 — 03.2025 1 г. 5 мес.

Backend Developer

Middle Удалённо

Led the transition from a monolith to Go-based microservices, improving scalability and team velocity. Integrated an internal LLM tool for automated incident classification, cutting manual triage time by ~25%. Scaled a video-processing service for upload spikes, reducing DB load by ~40% through custom caching and SQL tuning.

  • Cut manual triage time by ~25%
  • Reduced DB load by ~40%

Loshadki — Outsourcing

03.2020 — 10.2023 3 г. 7 мес.

Backend Engineer (Go), Contract

Middle Удалённо

Built real-time market-data ingestion using WebSockets and optimized order-book processing for crypto exchanges (Binance, OKX). Developed a backtesting engine for trading strategies over multi-terabyte time-series datasets with statistical modeling. Engineered core backend modules for investment platforms: portfolio analytics and real-time risk calculations.

Образование

Petrozavodsk State University

Biostatistics

Специалист

Kola Science Centre, Russian Academy of Sciences

PhD / Кандидат наук

Курсы

Professional Certificate in DevOps & Software Engineering

IBM

LLM Orchestration & Generative AI Specialization

DeepLearning.AI

Ожидаемая зарплата

2 000 000 KZT

Навыки

Go gRPC Gin Rust Lua LangChain Chroma Pinecone RAG OpenAI API PostgreSQL Redis Kafka Docker Kubernetes Terraform Prometheus Grafana ELK pprof

Языки

English B2 — Выше среднего
Russian Родной
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