Tatiana Isaeva - Golang Developer

Overview

Middle-level Vue app engineer specializing in building scientific, data-driven web frontends with domain-specific visualization integrations. The strongest proven skill is integrating domain visualization and file-download workflows as shown by IGV.vue and the download flows in BaseSide.vue and ImageCommon.vue. There is little public evidence of automated tests, advanced performance engineering, CI a11y checks or server-side/system design in the analyzed frontend code.

Timeline

Software Engineer Go · Middle

Magnit Tech · Full-Time

Jul 2023 to Mar 2025 1 Year 8 Months Fully remote

Architected from scratch and deployed a resilient 7-microservice billing platform serving 15,000+ couriers and pickers. Developed a flexible pricing and incentive engine, automated payout operations and implemented the Transactional Outbox pattern to eliminate dual-write issues and guarantee reliable event delivery.
Eliminated tight coupling between system components through re-architecting, simplifying code maintainability and boosting development speed.
Designed and implemented a GraphQL API layer for the reporting service to enable flexible queries for analysts, eliminating over-fetching and reducing system latency by 41%.
Introduced custom business and application metrics using Prometheus/Grafana for early anomaly detection and accelerated incident response in production.
Achieved 80% Unit test coverage, boosting system reliability and reducing QA-to-dev rework loops.
Onboarded and mentored 2 new developers and provided constructive code reviews to elevate engineering standards across the team.

Go

PostgreSQL

Apache Kafka

Kubernetes

Prometheus

ElasticSearch

GraphQL

Software Engineer Go · Middle

Ozon · Full-Time

Nov 2021 to Feb 2023 1 Year 3 Months Fully remote

Designed the seller analytics platform and scaled high-load microservices handling massive data volumes (ClickHouse, Kafka, PostgreSQL), maintaining robust performance through 50% annual user growth.
Launched the analytics service for tracking high-demand products missing from the marketplace by integrating and processing data from cross-functional teams and external sources via gRPC and Kafka.
Implemented data pre-aggregation mechanisms, cutting query execution time from 1.2s to 260ms and significantly accelerating analytical dashboard generation for users.
Participated in on-call rotations to resolve critical production incidents, conducting root cause analysis and establishing action plans to prevent future recurring failures.

Go

PostgreSQL

ClickHouse

Apache Kafka

Kubernetes

Prometheus

ElasticSearch

gRPC

Software Engineer Go · Middle

Netris · Full-Time

Nov 2020 to Nov 2021 1 Year In office

Researched the feasibility of transitioning to Go as the primary enterprise tech stack within the R&D team, establishing core coding standards and engineering practices.
Designed and launched an internal HR management platform from scratch to automate the employee lifecycle, reducing manual HR operations by 32%.
Designed a decentralized JWT-based authorization layer for all internal tools, reducing latency by 17%.

Go

PostgreSQL

Software Engineer Python · Middle

Clover · Full-Time

Jun 2017 to Sep 2020 3 Years 3 Months In office

Engineered a configuration engine for a data processing pipeline based on a directed cyclic graph (DCG) for distributed diagnostics and predictive maintenance of industrial equipment.
Implemented robust validation and deduplication layers in ETL pipelines, mitigating 98% of invalid records.
Developed complex time-series SQL queries using window functions for anomaly detection, profiling and tuning heavy queries to reduce defect detection latency by 13%.

Python

PostgreSQL

ClickHouse

Redis

Kazan Federal University

Bachelor's Degree · Fundamental Informatics and Information Technologies

2014–2018 Kazan, Tatarstan

Technical skills

Languages

4

Python

Go

TypeScript

SQL

Databases

5

PostgreSQL

ClickHouse

Redis

ElasticSearch

Apache Kafka

DevOps

5

Kubernetes

gRPC

Prometheus

GitHub

Grafana

Frontend

7

GraphQL

Vue.js

Vue Router

Element Plus

Vuex

UnoCSS

Vite

Other

3

Docker

ETL/ELT

Time Series

Middle Frontend Developer Confidence: High App Engineer

Middle-level Vue app engineer specializing in building scientific, data-driven web frontends with domain-specific visualization integrations. The strongest proven skill is integrating domain visualization and file-download workflows as shown by IGV.vue and the download flows in BaseSide.vue and ImageCommon.vue. There is little public evidence of automated tests, advanced performance engineering, CI a11y checks or server-side/system design in the analyzed frontend code.

UI Component Architecture

3/10

How interface parts are built

Reasonable componentization using Vue 3 composition API and separate components for UI, PDF rendering and genome browser integration, but mostly conventional patterns without a custom design system or advanced composition patterns.

Evidence

src/components/pages/brows_db/BaseSide.vue

src/components/pages/brows_db/ImageCommon.vue

src/components/pages/brows_db/IGV.vue

Responsive & Cross-browser

2/10

Works on all screens and browsers

Basic responsive layout and styling present via component-scoped CSS and Element Plus, but no advanced responsive techniques, RTL/i18n readiness, or feature-detection strategies.

Evidence

src/components/pages/how_to_use/HowToUse.vue - scoped layout and image styles

src/components/pages/brows_db/ImageCommon.vue - card and scrollbar styles

Performance Optimization

1/10

Speed of the interface

No evidence of measured performance work, code-splitting, bundle analysis or virtualization; components use standard rendering and third-party viewers without explicit optimizations.

Evidence

src/components/pages/brows_db/ImageCommon.vue - VuePDF integration (no virtualization or performance metrics)

src/components/pages/brows_db/IGV.vue - direct IGV integration without lazy-loading controls

Accessibility & Semantics

1/10

Usable for everyone

Accessibility relies on Element Plus defaults; there is no explicit ARIA, custom keyboard/focus management or CI a11y tooling visible in the codebase.

Evidence

src/components/pages/brows_db/BaseSide.vue - form controls (el-input, el-switch) used without custom focus handling

src/components/pages/brows_db/ImageCommon.vue - error tags but no ARIA attributes

State Management & Data Flow

3/10

Managing data in the app

Clear use of centralized state (Vuex) and consistent store-driven data flows across components, but no advanced server-state patterns (caching strategies, request cancellation, optimistic updates or state machines).

Evidence

src/components/pages/brows_db/BaseSide.vue - useStore, MutationTypes and geneDataMap lookup

src/components/pages/brows_db/ImageCommon.vue - computed pdfPath derived from store.state

src/components/pages/brows_db/IGV.vue - constructs genome data URLs from store.state

UX & Visual Polish

3/10

Look and feel quality

User-facing polish is present (help pages, images, download flows and basic error states) which suits a scientific UI, but UX patterns like skeleton loading, undo, or progressive loading are minimal.

Evidence

src/components/pages/how_to_use/HowToUse.vue - user guidance and illustrative screenshots

src/components/pages/brows_db/ImageCommon.vue - explicit error and empty-state tags

src/components/pages/brows_db/BaseSide.vue - labeled controls and file download actions

Verified artifacts

DjangoGirls/tutorial· ★ 1.6K

Expertise

Vue· Middle

Modern Web Frameworks· Middle

Industries

Biotechnology· Middle

Technologies

TypeScript· since 2024 · Middle

Vue.js

Vite

UnoCSS

Element Plus

Vuex

Vue Router

Recommendations

Develop interactive genomic data viewers and export pipelines (PDF/TXT/FASTA) that integrate IGV and performant client-side rendering.
Build SPA features that require robust server-state handling: request cancellation, cache invalidation and optimistic UI with rollback.
Add automated tests and CI checks focusing on component behavior, accessibility (axe) and end-to-end download flows.
Work on measurable performance improvements such as lazy-loading heavy viewers, code-splitting and bundle analysis for large asset delivery.

Repositories

The developer's experience in this domain has been verified based on AI analysis of the following repositories:

splicing-database-web

Job preferences

Work permits: Uzbekistan
Employment type: Full-Time