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denza sikora

@denzasikora

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Backend engineer building Python/FastAPI microservices and AI-powered products with scalable data pipelines.

Zimbabwe

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What I'm looking for

I’m looking for a team where I can own backend microservices in Python, build scalable async/data pipelines, and integrate AI features with strong engineering practices—clear ownership, solid DevOps/observability, and room to grow impact from product to infrastructure.

I’m an 8++ years backend engineer with a strong focus on Python and production microservices. I build full-cycle systems—from API design and async processing to deployment and observability—especially where AI, analytics, and scalability matter.

As Co-Founder & CTO at AI-CONSTRUCTOR, I developed Python/FastAPI/Alembic backends for product flows, designed an event-driven microservices ecosystem (Kafka + FastStream), and optimized performance by eliminating N+1 queries and reducing DB request frequency via Redis caching. I also led Web3-backend work for referral systems, on-chain/off-chain gamification, and signature verification on smart contracts.

Previously, at Automation of Secure Systems, I migrated Django to asynchronous FastAPI, wrote 100+ unit tests with pytest, and improved reliability by monitoring/alerting that raised SLA from 70 to 99%. I’m comfortable across backend, data processing (PySpark/Pandas/Polars), DevOps (Docker/Kubernetes/CI/CD), and quality engineering—so teams can ship faster with confidence.

Experience

Work history, roles, and key accomplishments

Co-founder & CTO

AI-Constructor

Mar 2022 - Mar 2026 (4 years)

Built and led an AI-powered application builder backend and microservices in Python/FastAPI, reducing database requests by 60% with Redis caching and cutting PostgreSQL query time from 2s to 200ms. Implemented Kafka-based event publishing, Web3 referral + on-chain/off-chain gamification with signature verification, and deployed OpenAI-driven content and report summary generation.

Python fastAPI PostgreSQL Alembic Kafka Redis Clickhouse OpenAI API React

Senior Specialist

Automation Of Secure Systems

Jan 2017 - Feb 2022 (5 years 1 month)

Modernized and optimized secure systems by migrating from Django (DRF/ORM) to async FastAPI (SQLAlchemy/Alembic), adding 100+ pytest unit tests with 100% coverage. Improved reliability and performance by raising SLA from 70% to 99%, increasing response time by 30%, and building a 1 TB/day ELT pipeline with PySpark.

fastAPI SQLAlchemy Alembic RabbitMQ Celery Pytest PostgreSQL Docker Pyspark

Programmer / Researcher

Ural Federal University

May 2013 - Jan 2017 (3 years 8 months)

Developed a tumor diagnostics system in MeVisLab for data imaging and clinical 3D visualization, reducing diagnosis time by 50% and improving accuracy through analytics. Contributed to clinical visualization pipeline development during internship work and co-authored a patent on a physics-mathematical tumor diagnostics method.

MeVisLab 3D Visualization Analytics Data Pipelines UML Python Scientific Computing