Remote work with a finance venture firm in Kazakhstan on report automation on Python: 1. Developing product pilot on Python (Windows environment) to generate a financial report in Word and PDF; 2. Use of OpenAI API to generate news summarizer for the report entity and building programmatic fill of other report blocs like financials, shareholder structure, etc;

Backend developer

On-premise work with a Regtech startup project in Malta, which has made product launch on business verifications for customers:1. Implemented one of key backend components, integrating business verification process into the startup service, including REST API call and data persistence in a database;2. Integrated an email service, triggering messages to customers when users register or restore their passwords

Remote development for a Swedish startup to scale up from MVP to three-country ops, writing several API services on AWS by engaging in day-to-day activities as well as implementing the following:1. Messaging API on Typescript on AWS SQS-SNS that sent email and SMS notifications to clients along their order status journey;2. Pricing module on Typescript, generated pricing range estimates based on internal product parameter;3. Data sync algorithm on Fastify to manage user cart via Graphql queries with Mercurius;

Node.js developer

Established a new business segment for a company, by helping it launch production-ready ML services, implementing the following:<ul><li>Developed and deployed (on Flask) forecasting model 5-day ahead to reduce inventory levels of milk products for a 80-outlet distributor chain</li><li>Fine-tuned CV ensemble (SSD/fRCNN) model on Pytorch to identify empty shelves for a flower shop distributor</li></ul>

ML developer

Full-stack development, including:<ul><li>A website for a pizzeria on Vue.js-Node.js, using Redis cart storage and MongoDB for permanence</li><li>Telegram-Facebook Messenger bots to collect customer orders for flower shops and table bookings for restaurants</li><li>File parser for a collections agency, extracting data into a dashboard with authentication</li></ul>

Full-stack developer

<ul><li>Improved appetency rate for churned clients in a mid-tiered bank, implementing the following procedures:</li><li>Re-wrote classification model from logistic regression to random-forest approach, and deploying the model on a Linux server</li><li>Aided collections department with client segmentation with PCA model</li></ul>

Personal details

Bakyt K.

Summary

Technical skills

Work Experience

Education