BAKYT KHOCHSHANOV
BACKEND DEVELOPER
DETAILS
Valetta
Malta
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LINKS
Portfolio
Github
SKILLS
Node.js
Javascript
Typescript
Python
SQL
Git
Docker
AWS-Serverless
GraphQL
RESTful API
Redis
LANGUAGES
English
French
HOBBIES
Aikido, swimming, jogging, gym
VALETTA, MALTA
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SUMMARY
Experienced backend developer on Node.js and Typescript, having built web and API
apps as well as ML models on Python (Pytorch). Fair exposure to AWS stack (DynamoDB,
Lambda functions, SNS, SQS), and Postgres as database
EMPLOYMENT HISTORY
Backend Developer at Own Startup, (Remote freelance contracts)
January 2020 — Present
• Helped 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
Full stack development:
• Established a new business segment for a company, by helping it launch
production-ready ML services, implementing the following:
1. Developed and deployed (on Flask) forecasting model 5-day ahead to reduce
inventory levels of milk products for a 80-outlet distributor chain
2. Fine-tuned CV ensemble (SSD/fRCNN) model on Pytorch to identify empty shelves
for a flower shop distributor
• Full-stack development, including:
1. A website for a pizzeria on Vue.js-Node.js, using Redis cart storage and MongoDB for
permanence
2. Telegram-Facebook Messenger bots to collect customer orders for flower shops and
table bookings for restaurants
3. File parser for a collections agency, extracting data into a dashboard with
authentication
Data Analyst at Credit Europe Bank N.V.
July 2018 — November 2019
• Improved appetency rate for churned clients in a mid-tiered bank, implementing
the following procedures:
1. Re-wrote classification model from logistic regression to random-forest approach,
and deploying the model on a Linux server
2. Aided collections department with client segmentation with PCA model
Financial Analyst at Financial Institutions, Almaty, Kazakhstan
March 2006 — December 2016
• Worked as a financial analyst in different banks and brokerages in Almaty,
Kazakhstan, including Halyk Pension Fund, Visor Capital, Kazakhstan Stock
Exchange.
• In brokerage firms conducted equity and bond research, analysing the company
fundamentals and making market/product analysis, updating the financial models
and forecasting asset prices. The companies that I wrote analytic reports were:
KEGOC, Kazatomprom, Kcell, Centerra Gold, etc.
• In the pension fund, the job function was an Economist, conducted econometric
research and preparing currency forecasts based on the country macroeconomic
fundamentals and VBA-based risk analysis tool
• In 2013 obtained a reputable CFA charter after clearing 3 levels of annually-held
exams and having worked for 4 years in an investment analysis role
EDUCATION
Programming, API development, Coursera, LinkedIn, Udemy
January 2016 — December 2022
Self-paced online courses on major platforms
Master's degree Business Administration and Management, General, Indian School of
Business, Mohali
January 2017 — December 2018
CERTIFICATIONS
Advanced Node.js
December 2021 — Present
LinkedIn www.linkedin.com
Become a Node.js Developer
June 2021 — August 2021
https://www.linkedin.com/learning/paths/become-a-node-js-developer
Advanced Python: Working with Databases
July 2021 — Present
LinkedIn www.linkedin.com
Flask Essential Training
July 2021 — Present
LinkedIn www.linkedin.com
Building RESTful APIs with Flask
June 2021 — Present
LinkedIn www.linkedin.com
Transfer Learning for Images Using PyTorch: Essential Training
June 2021 — Present
LinkedIn www.linkedin.com
