From telecom systems to production AI.

Forward Deployed Engineer

Building and running on-premise LLM infrastructure for internal engineering platforms.

• Reached 100+ tokens/s and cut time-to-first-token by 52% against baseline by deploying Kimi-K2.6 (MoE) on SGLang and GPT-OSS 120B on vLLM, on-premise; self-hosted models from embeddings up to 1T parameters.
• Cut hallucination rate by 73% and improved internal search relevance by 65% with enterprise RAG over 100+ code repositories, 1,000+ Confluence pages and 5,000+ documents.
• Held 0.89 faithfulness, 0.92 answer relevance, 0.86 context precision and 0.84 context recall on a 15K-query benchmark with an automated RAGAS evaluation loop on every pipeline change.
• Recovered answers that nearest-neighbour search missed in mixed-format documents, using agents that decide what to read themselves: scan, deep dive, backtrack.
• Replaced hand-copying of agent skills between projects with a marketplace on APM (Agent Package Manager): skills as installable packages with versioning and dependency resolution.

Solution Architect, Digital Channels

du digital transformation programme. Own the mobile and web applications end to end, from requirements elicitation through production release and monitoring, plus the solution architecture behind them.

• Cut time-to-market from 8 weeks to 4 by merging solution delivery for mobile, web and self-care into a single intake, design path and release train.
• Raised throughput at the design and solutioning stage by 40% by owning the cross-stream work that used to fall between teams: requirements sign-off, interface contracts and dependency resolution.
• Aligned 5 delivery streams on one architecture baseline by owning the target solution architecture for digital channels: BSS/OSS integration design (Order Management, Product Catalog, Billing, CRM), API contracts and non-functional requirements.
• Halved the build effort for every new customer journey, one build instead of two, by consolidating mobile and web onto a shared API layer.
• Cut clarification loops between business and delivery by 50% by turning business requirements into specifications engineering can build without a second pass.
• Caught 90% of digital-channel defects before production and cut MTTR by 60% by carrying every release through to production and owning post-release monitoring.

E2E Delivery Owner, Mobile & Web

Nuuday digital transformation programme. Owned the mobile and web applications end to end, from requirements elicitation through production release, monitoring and test.

• Ran the full delivery cycle for customer-facing mobile and web: requirements with business stakeholders → technical specifications → build coordination → E2E test → production release → post-release monitoring.
• Architected an event-driven integration layer connecting BSS/OSS modules (Order Management, Provisioning, Billing, CRM) to the new self-service portal; order-to-activation 70% faster.
• Designed and delivered a cloud-native feature-flag framework (Kafka + Redis Streams) for a 2M+ DAU web app: 15+ concurrent features, release cycle from 6 weeks to 4 days, rollback incidents down 80%.
• Established the E2E testing framework across 30+ microservices handling billing, ordering and customer data: 95% test automation coverage, production defects down 75%.

Lead Systems Engineer

• Led the architectural redesign of the SuperApp ecosystem for 3M+ monthly active users: 99.99% uptime, latency down 60%.
• Raised team productivity by 15% leading 10 engineers running the Activ and Kcell SuperApp mobile and web platforms.
• Led the migration of the legacy monolithic billing system to microservices, cutting operating costs by $300K a year and improving response time by 65%.
• Cut user complaints by 85% and raised NPS from 55 to 87 within 3 months with NLP and data analytics systems.
• Built health monitoring for a distributed stack of 20+ components, catching issues early and cutting outages by 70%.
• Coordinated design and development with infrastructure systems (BSS/OSS, Enterprise Service Bus, asynchronous product ordering, high-performance application server, CVM) to improve interoperability.

Senior Systems Engineer

• Built an API gateway integrating 20+ internal and external services; integration incidents down 40%.
• Established DevOps practices across 6 teams: deployments from bi-weekly to daily, MTTR down 60%.
• Automated testing with Postman across 15 microservices and 100+ APIs, cutting QA cycle time by 70% and catching 95% of bugs before deployment.

Systems Engineer

• Led the end-to-end redesign of the customer self-service portal for 6M+ users: satisfaction score from 6.7 to 8.3, support tickets down 45%.
• Streamlined the release pipeline for the iOS, Android and web SuperApp across 6 teams and 30+ features: time-to-market from 3 months to 3 weeks at a 99.9% crash-free rate.
• Built an automated UAT framework for the self-service portal covering 70+ critical scenarios: testing cycles from 2 weeks to 3 days, defect detection up 85%.
• Implemented feature flags for a progressive web app serving 2M+ daily users: 15+ features developed in parallel, release cycle from 6 weeks to 1 week.
• Sped up project timelines by 15% by helping plan, design and build new applications and enhancements to existing ones.

Computer Science (Exchange Semester)

• Full scholarship and stipend from Erasmus Mundus, awarded through an entrance exam with a 5.4% admission rate.

Data Analyst Researcher

• Built predictive process models in Python (pandas, scikit-learn) and SQL for 20 SMEs, raising productivity by 15% with measurable cost savings.
• Developed a new Industry 4.0 maturity model, using K-Means clustering and exploratory data analysis to segment companies by maturity; adopted by 20 firms.
• Redesigned 5 expert systems with multi-criteria decision-making (MCDM) methods and Tableau dashboards, improving strategic decision accuracy by 25%.
• Co-authored 7 publications with IEEE, Elsevier, MDPI, ACM and Taylor & Francis, turning SME performance data into analysis and visualizations on Industry 4.0 and the economic impact of Big Data.

Master of Engineering Management

• Full government scholarship and stipend, awarded on entrance exam results.
• Capstone: Maturity Assessment in Industry 4.0, a comparative analysis of oil and gas companies in Kazakhstan and Norway; published in 2022 in the Journal of Industrial Integration and Management.

B.Eng. Electrical and Electronic Engineering

• Capstone: Drone Autopilot System for Vehicular Networks Using VLC (visible light communication).
• First paper: Industry 4.0: Redefining Manufacturing in Kazakhstan, presented at ICACT 2019.