• Scale cross functional team from 0 to 12, during last 3 years - zero employee's churn
• Decrease average time to market from week to 2 days
• Small batches, automate everything, product mentality, extreme ownership, mob-programming and KISS principles, Agile (Scrum/Kanban), Kaizen, TDD,
• Define and help to execute tech strategy to meet business needs - budgeting, risks vs priorities, tech stack and architecture, build vs buy

• Build initial version of backend Rest API (Python, FastAPI, pydantic, alembic, sqlalchemy, asyncio, mypy, pytest, psycopg, firebase, pre-commit, ruff)
• Build initial version of SPA - web frontend (NextJS, javascript, typescript, tailwind, css)
• Develop match-making search/recommendation engine and wrap it behind Rest API - feature engineering, core engine - KNN + ALS (scikit, redis, numpy, pandas)
• Design data pipelines to analyze and create dashboards for conversion funnels (Elasticsearch, Google Query, PostgreSQL, Firebase analytics, data governance, data cleansing, data quality)
• Setup CI/CD and monitoring (Github actions, terraform, k8s, helm, vault, grafana, prometheus, ELK, GCD, AWS, docker, PostgreSQL, fastlane)
• Integration of social signing, analytics, support chat and payment into mobile app (MVVM, flutter, clean architecture, getstream, firebase notification deeplinks)
• UI & integration tests (curated env with auto-generated dummy data + testproject, apium, patrol, firebase, test project)

• Migrate number of data pipelines from Cloudera private hosting environment into AWS cloud to support exponential demand for growth during Covid
• Develop framework to assure data quality of digested events
• Develop new data pipelines and extend existing to fulfill stackholder?s needs
• Participate in on-call rotation to support SLA for business critical datasets
• Performance tuning of data pipelines: code of ETLs, Spark & HDFS internals

• Manage priorities and define project?s milestones
• Gather and convert functional requirements to sprint?s tasks
• Run code review and pair-coding sessions
• Provide mentorship and assistance during criticals

• Develop scalable trading platform - high throughput low-latency fully automated trading engine for multi-agent deployments
• Design reactive architecture to unify integration of additional exchanges
• Lead implementation of unified UI for stakeholders:
• rules management
• deployment automation and monitoring
• trend exploration and data discovery
• Create dedicated services for live data stream acquisition and real time signaling
• Inference engine for models backtesting

• Design, build and optimize high throughput highly available multi component data processing pipelines (up to 80k events per seconds, depending on cluster configuration).
• Re-factor of business critical components of various products across the whole stack
• Cassandra, Kafka, Elastic performance tuning - schema adjustments & implementation of high performance multithreaded shooters in C++, jvm & linux kernel optimization
• Containerization of applications: maintaining internal docker registry, automate orchestration of dockers vms, docker performance tuning
• Introduce company for modern SDLC practices and help to integrate it in a way to be coherent with business goals: continuous integration, devops, integration tests & auto-tests
• Participate in business critical activities: sizing and hardware planning, develop POC for pre-sales events, requirements assessments, investigation of disaster incidents, etc
• Develop and run internship program: software development, data analysis.

• Add several key functionalities for company's products portfolio.
• Implement various analytical modules on top of Apache Spark.
• Build a toolbox for algorithms assessments for data discovery and quick hypothesis checks
• Assessment and adaptation of methods of AI\ML for such tasks as predictions\clusterization.
• Application of methods Natural Language Processing (NLP) according to business goals.

Achievements:

• Decrease storage requirements on 50%. Increase overall system performance from state when the full cluster cant deal with peak load to situation when ? of cluster?s nodes weren?t available due to power outage new system handle load without hiccups. 
• Develop proof of concept application that lead to signing three new contracts with major clients for the whole company history.

• Manage hiring for backend/frontend/system administrator in order to meet project?s deadline
• Define and control execution of sprints for freelancers
• Provide technical leadership and coaching for team

• Develop general architecture of server components, choose technology stack for
• implementation, design database structure and implement middleware layer for interaction with 3rd party systems
• Build web-crawler for machine learning algorithms evaluation
• Perform evaluation of various machine learning techniques, embed most promising approach to general pipeline
• Adapt core of recommendation engine for high-load project by profile and optimize
• bottlenecks
• Define and manage Mesos cluster deployment strategy
• Control and manage of integration various clients (mobile/web) to backend services

Achievements:

• Accuracy of search above 85 percent, time of reply less than 250 ms

• Porting reference kinect fusion implementation from CUDA, PCL library to OpenCL
• Collaborate with PCL community to contribute to KinFu sub-module in order to overcome limitations of existing implementation: integrate RGB information to resulting point cloud, cyclic voxel buffer in GPU memory,
• Evaluate and integrate modern methods of Computer Vision into existent pipeline: dvo - dense visual odometry by Tum, libfovis, various algorithms from opencv development and contrib branches
• Integration of SLAM methods - iSam and g2o
• Manage, motivate, and build engineering team
• Participate in non-technical activities ? develop marketing and financing strategy, client development.

Achievements:

• Cross-platform framework for algorithms evaluation was build. Easy-to-use solution (server side) for 3d-reconstruction was developed providing speed and accuracy of the modern research projects.

• Re-create the algorithm of cookie generation from isapi dll
• Disassembling of dll, searching for algorithm's entry point
• Analyzing and reconstructing call stack
• Reconstruct algorithm in separate module and using it in order to perform "cookie-hijacking" to access private information

Achievements:

• 2 critical vulnerabilities and several minor exploits were found. Recommendations for eliminating them were sent to customer.

• Development multi-threaded\multiprocessing Network Management System (NMS) targeting Linux\Solaris x86 & x64 (C\C++, SNMP, pthreads, raw sockets)
• Sustaining software for polling devices via CORBA protocols (MICO library) according to TMF814 specification (Huawei T2000, ECI Lightsoft, EMS-XDM)
• Design database structure and stored procedures (Oracle, SQLdeveloper, otl library)
• Optimize software performance using valgrind with callgrind/cachegrind.
• Analyzing data flow and proposing new algorithms of data processing as well as enhancing existing ones

Achievements:

• Speed of device?s discovery were increased by 60 percent. Reliability was increased - amount of bug reports were reduced by more than 10 times.

• issue analysis (based on crash dump or customer logs and report, with description of abnormal behavior of system)
• investigating reason of error (customer system settings, project configuration, source code)
• Develop and test solution, provide test cases and other info for patch

Achievements:

• Setup modules of voice recognition and speech synthesis with Media Processing Server into single deployed system for performing testing (MPS by Nortel, SpeechWorks, Nuance, Loquendo). Several test application were developed for testing (using vxml, peripro).