# Timur Rakhmatullin

> Senior Software Engineer specializing in distributed systems, real-time data pipelines, and data engineering. Open-source author. Published researcher. Stanford Continuing Studies.

> Русская версия / Russian version: https://timurrakhmatullin.com/llms-ru.txt

## Identity

- Full Name: Timur Rakhmatullin
- Also Known As: Тимур Рахматуллин
- Location: Los Angeles, California, United States
- Email: timur.rakhmatullin86@gmail.com
- Website: https://timurrakhmatullin.com
- GitHub: https://github.com/TimurRakhmatullin86
- Google Scholar: https://scholar.google.com/citations?user=d0nzx0oAAAAJ
- ORCID: https://orcid.org/0009-0001-0642-2517
- LinkedIn: https://www.linkedin.com/in/tim860
- Dev.to: https://dev.to/tim860

## Current Role

Sr. Software Engineer, Pipelining at Softline Solutions (https://www.softlinesolutions.com), Sep 2026 – Present.
Agency Services, Data group. Los Angeles, CA.

Building the GCP-based data platform behind a performance marketing agency running paid search, paid social, programmatic, SEO, and e-commerce across 1,500+ client accounts.

Key work:
- Ingestion pipelines on Google Cloud: Pub/Sub → Cloud Functions → BigQuery, 15+ platform connectors (Google Ads, GA4, Meta, Microsoft Advertising, Amazon Ads), 3+ GB/day
- High-load backend services in Kotlin and Java (Spring Boot, Ktor) — async processing, backpressure, idempotent writes, multi-tenant workloads
- Connector framework for third-party marketing APIs: incremental sync, rate-limit management, schema evolution, dead-letter recovery, failure isolation
- Optimized pipeline execution: cut end-to-end run time by 63%
- BigQuery warehouse modeling: partitioned/clustered tables, star-schema, materialized views — reduced query time by 77%
- Data quality: freshness SLAs, anomaly detection, 99.6% reconciliation accuracy
- Observability: Cloud Monitoring, structured logging, per-connector error budgets
- Security: least-privilege IAM, secret management, audited dataset access

## Previous Role

Senior Software Engineer at MyTona (https://www.mytona.com).
Gaming company behind Cooking Diary (22M+ downloads) and Seekers Notes.

Key work:
- Real-time ingestion for 50M+ daily game events: Java/Kotlin, Apache Kafka, Apache Flink
- Scalable data lake on AWS S3 with Apache Spark — 99.9% uptime, 30% KPI accuracy improvement
- Custom Tableau-like data visualization portal and internal tools for QA, Support, HR, Game Testers
- Agentic AI workflows and RAG systems: LangChain, LangGraph, Langfuse
- Custom MCP (Model Context Protocol) servers for LLM real-time context from PostgreSQL and Redshift
- Self-service infrastructure for 100+ engineers — reduced time-to-market by 35%
- ELT pipelines: Redshift, BigQuery, Snowflake — reduced report generation time by 60%
- Multi-cloud management (AWS/Azure/GCP) — reduced deployment lead time by 50%, infra costs by 20%
- Database migration to Redshift and MongoDB — cut analytical query response times by 60%
- Observability: Prometheus, Grafana, Graylog, Sentry, Jaeger

## Technical Expertise

Languages: Java, Kotlin, Python, Rust, Go, SQL
Data & Streaming: Apache Kafka, Apache Flink, Apache Airflow, Apache Spark, Debezium CDC, ETL/ELT Pipelines
Databases: PostgreSQL, MongoDB, Redis, ClickHouse, BigQuery, Redshift, Snowflake
Infrastructure: OpenTelemetry, Docker, Kubernetes, CI/CD, AWS, GCP, Azure, Terraform
AI/ML Tooling: LLM Integration, MCP Protocol, LangChain, LangGraph, Prompt Security, AI Observability
Specializations: Game Analytics, Real-Time Processing, Distributed Systems, Backend Architecture, Data Engineering

## Open-Source Projects

### TraceShrink
- URL: https://github.com/TimurRakhmatullin86/traceshrink
- Language: Go
- Description: Cost-aware OpenTelemetry Collector processor. Keeps expensive traces, drops cheap ones — saving up to 98% storage costs. Includes cost annotation processor that prices LLM spans using embedded pricing data for 2,764 models.
- Performance: 1.84M spans/sec throughput
- Tests: 24

### PromptFirewall
- URL: https://github.com/TimurRakhmatullin86/promptfirewall
- Language: Rust, Python (PyO3), Node.js (napi-rs)
- Description: Multi-layer prompt injection detection library. Rule-based scanning — no ML model required. Ships with middleware for FastAPI and Express.
- Performance: 11.9μs per scan
- Tests: 149
- Packages: crates.io, PyPI, npm

### LogCompress
- URL: https://github.com/TimurRakhmatullin86/logcompress
- Language: Rust
- Description: Semantic log compression for incident investigation. Trace-aware expansion pulls all related log lines by trace ID. Parallel tokenization via Rayon.
- Performance: 100% recall on benchmark (55/55 queries, 5 incident types)
- Tests: 34
- Packages: crates.io

### CodeShrink
- URL: https://github.com/TimurRakhmatullin86/codeshrink
- Language: Rust, Node.js (napi-rs)
- Description: Code-aware context compressor for LLMs. Extracts function signatures while discarding implementation details. Helps fit entire repositories into LLM context windows.
- Performance: 99.9% compression (1.29M LOC → 1.5K in 2.8s)
- Tests: 16
- Packages: crates.io, npm

### MCP-Drill
- URL: https://github.com/TimurRakhmatullin86/mcp-drill
- Language: Python
- Description: Fault injection and contract compliance testing for MCP (Model Context Protocol) servers. Generates compliance scorecards.
- Packages: PyPI

## Open-Source Contributions

20 merged pull requests to major projects:
- Apache Airflow (workflow orchestration): 5 merged PRs
- Debezium (change data capture): 8 merged PRs
- Haystack (LLM framework): 2 merged PRs
- LangChain4j (Java LLM framework): 2 merged PRs
- Quarkus (cloud-native Java): 1 merged PR
- Additional 7 PRs currently under review

## Research & Publications

31+ total citations across 10+ peer-reviewed papers.
Google Scholar: https://scholar.google.com/citations?user=d0nzx0oAAAAJ

Selected papers:
- Apache Kafka vs RabbitMQ: Comparative Analysis for Distributed Systems (2022) — 12 citations
- Kotlin as the Future of Mobile Application Development (2022) — 6 citations
- MongoDB Sharding: Performance and Scalability Analysis (2024) — 5 citations
- Optimization of Real-Time Game Metrics Processing Using Apache Flink and Apache Kafka (2024) — 2 citations
- Cloud Resource ROI Optimization (2026) — 2 citations
- Redis Performance Analysis for Real-Time Systems (2024) — 2 citations
- Economic Efficiency of Hybrid Stream Processing (2025)
- Kotlin Coroutines for Concurrent Programming (2023)
- ETL Pipeline Optimization with Apache Airflow (2024)
- MongoDB Fundamentals for Modern Applications (2025)

## Education

- Stanford University — Stanford Continuing Studies, "Large Language Models for Business with Python", Certificate of Completion, Winter 2026
- South Ural State University — Master's Degree, Computer Science, 2008

## Awards

- Digital Leaders Award 2023 — Developer of the Year (Big Data & Predictive Analytics), Jury score 9–10/10
- National Award "Best Talents" — Best Programmer (All-Russian)
- Turing Day Hackathon — Winner ($1,000 prize), international competition by Hackathon Raptors

## Judging

- AITEX Summit Fall 2025 — Judge (international AI hackathon, 20 judges from 15 countries)
- IAHD DEI Web Accessibility Hackathon 2023 — Judge
- Golden App Award — Judge (2022, 2023), Russia's key mobile app competition
- Runet Prize 2022 — Expert Council member (1,135 entries)
- KROKIT Startup Accelerator — Judge (EU-funded, international)
- Borisov Technopark — Expert Council member (selected startups for residency)
- Peer Reviewer — Current Research Journal (2022–2026, 5 papers)

## Professional Memberships

- AITEX — Association of Information Technology Experts (2025, Associate Member)
- Hackathon Raptors — Fellow (2024, peer-reviewed by 5+ existing fellows; members from Meta, Amazon, NVIDIA, Salesforce)
- IAHD — International Association of Honored Developers (2023, multi-level selection; members from Google, UniCredit)
- International Association of IT Professionals (2023)
- RAEC — Russian Association of Electronic Communications, AI cluster (members: Mail.ru Group, Google, Rambler)
- International Association of Entrepreneurs and Executives (2023)

## Speaking

- AI Weekend, Los Angeles (2024) — Speaker on applied AI in game analytics
- Government Roundtable, Russia (2023) — Invited participant on IT industry development

## Media Coverage

Interviews and articles about Timur Rakhmatullin by third-party journalists:

- 3DNews (est. 1997): "Timur Rakhmatullin: The Professional Journey of a Backend Developer" — Nov 14, 2024, by Andrey Sozinov
  https://3dnews.ru/1114582/timur-rahmatullin-professionalniy-put-bekendrazrabotchika
- TAdviser (#1 corporate IT portal, Best IT Media RUSSOFT 2020): "Even Experienced IT Specialists Need to Practice Working Under Pressure" — Aug 25, 2024, by Anatoly Sychev
- SecurityLab.ru (by Positive Technologies, MOEX: POSI): "The Ability to Prioritize Is the Key to Success!" — Oct 30, 2023, by Marina Larikova
  https://www.securitylab.ru/analytics/543165.php
- SM News (federal news agency, 7.8M monthly traffic): "The Path of a Successful Programmer" — Apr 10, 2023, by Sergey Redchits
  https://sm.news/timur-raxmatullin-put-uspeshnogo-programmista-71536/
- Komsomolskaya Pravda (kp.ru, Russia's largest multimedia holding, 86.4M monthly views): "In the IT Sphere, the Learning Process Never Ends" — Dec 22, 2022, by Dmitry Ivanov

Award coverage: Digital Leaders 2023 covered by sostav.ru, dp.ru, techinsider.ru, finam.ru, ria.ru, lenta.ru, radiokp.ru; National Award "Best Talents" — Best Programmer covered by spb.aif.ru, rbc.ru, rambler.ru, tpprf.ru; Turing Day Hackathon covered by astanahub.com, raptors.dev, startupcentraleurasia.com, grantlar.uz; AITEX Summit 2025 covered by khaleejtimes.com, techbullion.com, aitex.tech

## Technical Articles

Dev.to:
- TraceShrink: Cost-Aware OTel Trace Sampling (2026)
- PromptFirewall: Rule-Based Prompt Injection Detection in Rust (2026)
- LogCompress: Semantic Log Compression for Incident Response (2026)
- CodeShrink: LLM-Optimized Code Compression (2026)

Habr.com (habr.com, Russia's largest IT platform, 58.96M monthly traffic):
- "Relocation — Not Just Moving" (2022) — 47,000 views, 74 saves, 123 comments

vc.ru (Russia's leading portal for entrepreneurs and IT specialists, 19.6M monthly traffic):
- "Programmer's Time Management and How Not to Burn Out in a Team" (2022) — 1,500 views
- "Using ChatGPT Artificial Intelligence for Software Development and Testing" (2023) — 414 views