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Senior
Регистрация: 16.11.2021

Константин Гончаров

Специализация: Solution Architect / Software Engineer
— Certified Solution Architect and Senior Software Engineer with 15+ years of experience in enterprise software development, cloud architecture,and digital transformation. — Expertise in distributed systems, microservices, AWS, Python, Kubernetes,and AI/ML technologies. — Proven trackrecord in fintech, biotech,and media industries with achievements including optimizing system performance by 300%+ and architecting cloud-native solutions serving millions of users. — Expert in translating complex business requirements into robust technical solutions. — NoSQL Database Experience: Extensive experience with NoSQL databases across multiple enterprise projects. Implemented Redis for high-performance caching, session management,and message brokering in distributed systems. — Architected MongoDB solutions for two large-scale projects: designed and maintained a multi-cluster storage system for a national news editorial platform handling real-time content distribution, and developed a semantic search results repository supporting live news categorization through vector similarity matching on trained ML models. — Data Lake & ETL Experience: Designed and extended API endpoints for proprietary molecular data lake infrastructure, supporting large-scale scientific data processing workflows. — Built comprehensive ETL pipelines and data transformation operations,enabling efficient data ingestion, processing, and analytics for molecular research applications. — Maintained and optimized data lake performance while ensuring data integrity and accessibility across research teams. Key Achievements: — 300% Performance Optimization: Accelerated drug discovery research by 300% through distributed computing platform processing 100TB+ molecular data with in-house LLM models. — Multi-Million UserScale: Architected payment platforms serving 20M+ users with PCI DSS compliance and real-time trading systems processing 2M+ daily transactions. — Cost & Efficiency Leader: Delivered 60% reduction in operational overhead, 40% lower compute costs, and 4x faster AI model training cycles through cloud architecture optimization. — Enterprise Transformation: Successfully migrated 12 fragmented applications across multi-cloud environments with zero data loss and 99.99% uptime.
— Certified Solution Architect and Senior Software Engineer with 15+ years of experience in enterprise software development, cloud architecture,and digital transformation. — Expertise in distributed systems, microservices, AWS, Python, Kubernetes,and AI/ML technologies. — Proven trackrecord in fintech, biotech,and media industries with achievements including optimizing system performance by 300%+ and architecting cloud-native solutions serving millions of users. — Expert in translating complex business requirements into robust technical solutions. — NoSQL Database Experience: Extensive experience with NoSQL databases across multiple enterprise projects. Implemented Redis for high-performance caching, session management,and message brokering in distributed systems. — Architected MongoDB solutions for two large-scale projects: designed and maintained a multi-cluster storage system for a national news editorial platform handling real-time content distribution, and developed a semantic search results repository supporting live news categorization through vector similarity matching on trained ML models. — Data Lake & ETL Experience: Designed and extended API endpoints for proprietary molecular data lake infrastructure, supporting large-scale scientific data processing workflows. — Built comprehensive ETL pipelines and data transformation operations,enabling efficient data ingestion, processing, and analytics for molecular research applications. — Maintained and optimized data lake performance while ensuring data integrity and accessibility across research teams. Key Achievements: — 300% Performance Optimization: Accelerated drug discovery research by 300% through distributed computing platform processing 100TB+ molecular data with in-house LLM models. — Multi-Million UserScale: Architected payment platforms serving 20M+ users with PCI DSS compliance and real-time trading systems processing 2M+ daily transactions. — Cost & Efficiency Leader: Delivered 60% reduction in operational overhead, 40% lower compute costs, and 4x faster AI model training cycles through cloud architecture optimization. — Enterprise Transformation: Successfully migrated 12 fragmented applications across multi-cloud environments with zero data loss and 99.99% uptime.

Портфолио

KP Publishing House

● Put in life user comments management SPA for highly demanded news resource kp.ru. ● React.js ecosystem (React/Redux, ES2015, Webpack/Babel) at client side. ● Python REST/Websocket at server. ● Token based authentication. ● MongoDB cluster as main data storage, PostgreSQL and MySQL as side data sources, Redis for prepared data, ElasticSearch for rapid full-text search among millions of items. ● Celery for regular tasks, beanstalkd for processing tasks queue.

InPlat

● Engineering backend microservices for online mobile and card payments. ● Modern asynchronous Python, PostgreSQL 10 as data backend, RabbitMQ for components communication. ● Have introduced and still polishing distributed tracing system. ● Made refactoring to mitigate data race conditions. ● Static checking and unit testing is organic part of my work. ● Compose library packages with automatic testing and documentation, ready to CI/CD. ● Git is my best friend. Delivery with Gitlab and contenerized modules is my everyday activity.

Progredis

● Establish and maintain workflow, plan, compose, assign tasks, supervise realization, prepare deployments, solve the hardest issues. ● Project management and budget planning software solution (SPA) - adding new functionality, design and implement UX blocks and Rest Api points, implementing complex context role-based behavior.

Скиллы

Git
Linux
MySQL
PostgreSQL
Python
TypeScript
MongoDB
REST
Node.js
Redis
JavaScript
AWS Well-Architected Framework
Heroku
GCP
AWS
Loki
Grafana
EKS
LLM
Terraform
Terragrunt
GitHub Actions
ArgoCD
GitOps
AWS SSM
SQLAlchemy
Apache Airflow
SQL
Kubernetes
Cloud Architecture
Scaled Agile Framework
AI
Apache Kafka
IaC
RESTful architecture
OAuth
Drug Discovery
Software Development
Software Infrastructure
Go
Distributed Systems
Prometheus
LLMOps
Security Compliance
Django REST Framework
Machine Learning
RabbitMQ
Jaeger
Software Solution Architecture
ClickHouse
Qdrant
Test Automation Frameworks
Optimizing Performance
Databases
RAG
FastAPI
Pandas
Sentry
Cloud Migration
Microservices
Cloud Infrastructure
Data Quality
Data Warehousing
Full-Stack Development
React
Django
NLP
ETL
Gin
Azure
Helm
GitLab CI
Istio
Elasticsearch
DynamoDB
Cassandra
TensorFlow
PyTorch
Polars
JWT
SSL
TLS
RBAC
GDPR
SOC 2
PCI DSS
Event-Driven Design
Rest Api
GraphQL API
Serverless Architecture

Опыт работы

Solution Architect
с 01.2025 - По настоящий момент |NoveoGroup
AWS Well-Architected Framework, Heroku, GCP, AWS, Loki, Grafana, EKS, LLM, Terraform, Terragrunt, GitHub Actions, ArgoCD, GitOps, AWS SSM
● High-Performance Trading Platform Infrastructure: led end-to-end architecture design for real-time trading platform processing 2M+ daily transactions with <10ms latency requirements using AWS Well-Architected Framework, supporting GPU-intensive quantitative modeling workloads. ● B2B Sales Platform Consolidation: architected multi-cloud migration consolidating 12 fragmented applications (Heroku/GCP/on-prem) to AWS across 5 accounts + network hub, serving 200+ enterprise clients with unified monitoring via Loki/Grafana. ● AI Testing Automation Platform: deployed scalable EKS cluster for AI model training/testing supporting 20+ concurrent LLM pipelines processing 2TB datasets, built according to SOC2 compliance standards. ● Infrastructure Automation: automated deployment using Terraform/Terragrunt with reusable modules, GitHub Actions pipelines, and ArgoCD GitOps for containerized workloads. ● Enterprise Data Migration: executed zero-downtime data migrations with <2h downtime per application, implementing SSO-based terminal access via AWS SSM. Business Impact: ● Achieved 40% lower compute costs vs. on-prem GPU alternatives with 99.99% uptime during market hours. ● Delivered 60% reduction in monthly ops overhead byeliminating 3 legacy platformsand 35% lowerTCO through rightsizing. ● Accelerated AI model iteration cycles by 4x (training jobs from 8h → 2h) with 30% cost reduction via spot instances. ● Enabled 100+ dailyautomated test runs (previously manual) with zero data lossacrossall migrations. ● Improved infrastructure manageability through automated provisioning and monitoring.
System Architect / Senior Software Engineer
09.2023 - 12.2024 |Insilico Medicine
LLM, SQLAlchemy, Apache Airflow, SQL, Kubernetes, Cloud Architecture, Scaled Agile Framework, AI, Apache Kafka, IaC, PostgreSQL, RESTful architecture, OAuth, Drug Discovery, Software Development, Software Infrastructure, TypeScript, Go, Distributed Systems, Prometheus, LLMOps, Security Compliance, Django REST Framework, Machine Learning, RabbitMQ, Jaeger, Software Solution Architecture, ClickHouse, Terraform, Qdrant, Test Automation Frameworks, Optimizing Performance, Databases, RAG, FastAPI, Pandas, AWS, Microsoft Azure, Sentry, ArgoCD, Python, Redis, Cloud Migration, Microservices, Cloud Infrastructure, Data Quality, Data Warehousing
● Drug Discovery Data Pipeline: built dataflows based on distributed computing platform processing 10TB+ of molecular data, in-house trained LLM models,accelerating drug discovery research by 150% and reducing time-to-market of updated inhouse LLM by 30%. ● Targets publicly available data collection: built web crawler to collect public data from various sources, including pubmed, chembl,and drugbank, to enrich the drug discovery pipeline. ● Drug discovery AI Platform: developed cloud-based therapeutic target identification and biomarker discovery platform using multimodal omics data, AI algorithms,and biological knowledge graphs for drug discovery acceleration. ● Drug trials results prediction AI Platform: built transformer-based clinical trial outcome prediction system achieving 79% accuracy in Phase II-III transition forecasting using multimodal data and generative AI models. ● Fast prototypes: patient panel and clinic matching solution. Business Impact: ● Accelerated time-to-market for drug discovery projects. ● Improved data quality and research reproducibility.
Senior Software Engineer
2018 - 2023 |Inplat / Nexign
Tornado, PHP, FastAPI
● Microservices Payment Platform: architected event-driven payment platform serving 20M+ users with PCI DSS compliance, supporting money transfers, marketplace purchases, wallets, tokenized payments (Google / Apple Pay), recurring payments,and bonus systems. ● Legacy System Modernization: migrated legacy systems (Tornado/PHP) to FastAPI, significantly improving performance, scalability,and maintainability. ● Telecom Billing System: developed high-throughput billing engine processing 50M+ daily transactions for major telecom operators. ● Secure Monitoring Solution: developed tracing component for structured logging and issue tracking,ensuring sensitive data security during debugging and monitoring. ● Third-Party Integrations: integrated retail fiscal APIs, mobile operator SMS services, user consent workflows,and tokenized card processing systems. ● Customer Self-Service Portal: built responsive web platform reducing customer service calls by 40%. Business Impact: ● Enabled secure payment processing for millions of users. ● Reduced operational costs through system modernization. ● Improved customer satisfaction and reduced support overhead.
Team Lead / Frontend Developer
2016 - 2018 |Progredis
Full-Stack Development, RESTful architecture, Software Development, TypeScript, Optimizing Performance, Databases, JavaScript Frameworks
● Enterprise Project Management System: developed custom software systems for Russian Railways (РЖД) using Typesafe Reactive Platform (Scala & Play framework) backend ith Backbone/Marionette and CoffeeScript frontend. ● Dynamic Form Generation: designed and implemented flexible form generation system based on user roles and document states, with formal rules stored at backend. ● Frontend Modernization: led migration from legacy Backbone/CoffeeScript to React/TypeScript, improving development efficiency and maintainability. Business Impact: ● Delivered critical project management solutions for major transportation infrastructure. ● Improved development team productivity through modern technology adoption. ● Enhanced user experience with dynamic, role-based interfaces.
Software Engineer / Data Engineer
2008 - 2015 |KP Publishing / Coin.mx / TVzavr / RIA News, Intersoft Lab
React, Python, Django, NLP, ETL
● Built scalable web platforms serving millions of users (React, Python, Django). ● Developed cryptocurrency trading systems and payment integrations. ● Implemented semantic news processing and NLP solutions. ● Executed enterprise data migrations and ETL pipelines.

Образование

Law (Магистр)
По 2005
University of International Relationships

Языки

АнглийскийПродвинутыйРусскийРодной