Maksym

Maksym Havalets Senior Python Developer

CONTACT Email: [open contact info](look above in the "contact info" section) LinkedIn: [open contact info](look above in the "contact info" section)
havalets-b339b1279/

A results-driven Senior Python Developer with over 5 years of experience in designing,
SUMMARY building, and scaling robust backend systems and cloud-native applications. Proven
expertise in leading technical initiatives across FinTech, EdTech, and SaaS domains. Skilled in
architecting high-performance RESTful APIs with Django and FastAPI, integrating AI/ML
models, and managing full CI/CD pipelines on AWS. A proactive problem-solver with a strong
background in full-stack development, dedicated to delivering clean, testable code and
mentoring development teams.

Uzhhorod National University | 2021-2025
EDUCATION
Bachelor of Software Engineering

Ukrainian: Native English: Upper-Intermediate (B2)
LANGUAGES

Programming Languages: Python, C#, JavaScript (TypeScript), SQL
SKILLS Frameworks: Django, Django REST Framework, FastAPI, ASP.NET Core, React.js
Databases: PostgreSQL, MongoDB, MySQL
Testing: Pytest, unittest
CI/CD: GitHub Actions, Jenkins
Cloud: AWS (EC2, S3, RDS, Lambda), Docker, Kubernetes
Other: REST API, GraphQL, WebSockets, RabbitMQ, OAuth2, JWT

PROFESSIONAL Senior Python Developer | Britenet Jan 2024 – Present
EXPERIENCE FinTech SaaS Platform (WealthWise)

To build a scalable, secure B2B SaaS platform that provided real-time portfolio analytics,
automated tax-loss harvesting, and personalized investment recommendations for financial
advisors.

Architected and developed the core backend API using Django, achieving sub-50ms
latency for portfolio calculations and market data aggregation.
Implemented a recommendation engine using TensorFlow to analyze historical market
data and client risk profiles, providing actionable investment insights, which led to a 15%
increase in user engagement.
Designed the data architecture using PostgreSQL with read replicas for analytics and
MongoDB for storing user session data, ensuring data consistency and high availability.
Deployed microservices on AWS EKS (Kubernetes), managing a cluster of 10+ services.
Utilized AWS S3 for document storage and AWS Lambda for serverless background tasks
like report generation.
Secured the platform with OAuth2 and JWT for API authentication, integrating with third-
party identity providers.
Led a team of 3 junior developers, conducting code reviews, establishing best practices
for unit and integration testing with pytest, and setting up a GitHub Actions CI/CD pipeline
for automated testing and deployment.
 EdTech Adaptive Learning Platform (SkillSync)

To create an AI-driven platform that dynamically adjusts course material based on individual
student performance and learning pace to improve learning outcomes.
Designed and built a high-performance content delivery API with FastAPI REST Framework
(DRF), capable of handling 500+ concurrent user requests during peak hours.
Integrated OpenAI’s LLM to generate personalized quizzes and explanatory content based
on student progress, resulting in a 20% improvement in concept mastery rates in A/B
testing.
Implemented real-time progress tracking and chat features using WebSockets and Django
Channels.
Developed a data pipeline using RabbitMQ to process user interaction events
asynchronously, which fed a recommendation algorithm that adjusted the learning path in
real-time.
Automated the infrastructure with Terraform and managed deployments on AWS EC2 and
RDS (PostgreSQL), ensuring 99.9% uptime.

Python Developer | Digis Sep 2022 – Dec 2023
GreenTech IoT Platform (EcoSense)

To develop a backend platform for a network of smart city environmental sensors, collecting
and analyzing air quality and noise pollution data for municipal governments.

Developed the core data ingestion API using FastAPI and Django, capable of handling high-
throughput data streams from over 10,000 IoT devices.
Implemented data processing and anomaly detection algorithms using Pandas and
NumPy, identifying pollution hotspots and triggering automated alerts for city authorities.
Optimized the database schema and queries in PostgreSQL with PostGIS for efficient
geospatial querying and visualization on city maps.
Containerized the application using Docker and managed multi-container deployments
with Docker Compose.
Set up a Jenkins CI/CD pipeline for automated testing and deployment to AWS EC2
instances, reducing deployment time by 40%.

Smart Mobility Ride-Sharing (GoShare)

To build a reliable and scalable backend for a ride-sharing application that connects users
with local drivers in urban areas.
Led the development of the trip management service using Django and DRF, handling
ride requests, driver matching, and fare calculation.
Implemented a driver matching algorithm that considered factors like proximity, driver
ratings, and current demand, significantly reducing average passenger wait times.
Integrated Google Maps API and WebSockets for real-time driver location tracking and
trip status updates.
Managed PostgreSQL databases, optimizing complex queries for driver availability and
ride history retrieval.
Utilized AWS SQS for decoupling the ride request processing from the driver notification
service, ensuring system stability during peak hours.
Junior Python Developer | Skelia Mar 2021 – Aug 2022
Healthcare Data Platform (MediConnect)

To create a secure, HIPAA-compliant platform for healthcare providers to share patient data
and collaborate on treatment plans.

Developed secure RESTful APIs using Django REST Framework (DRF) for managing patient
records, appointments, and treatment plans, ensuring strict compliance with healthcare
data privacy standards.
Implemented granular role-based access control (RBAC) using JWT and OAuth2 to secure
endpoints for doctors, patients, and administrative staff.
Designed a scalable database architecture using PostgreSQL to handle complex
relationships between patients, providers, and medical records.
Wrote comprehensive unit and integration tests with pytest to ensure high code coverage
and reliability.
Participated in daily stand-ups, sprint planning, and code reviews, collaborating closely
with a distributed team of front-end and QA engineers.
Assisted in migrating the application from a monolithic architecture to a containerized
microservices setup using Docker and AWS ECS, improving deployment flexibility and
resource utilization.