Andrei Goponenko

- Provided technical leadership on the multi-agent services: scoped the architecture, drove design decisions, and coordinated cross-team collaboration with different teams in a company. 
- Developed two production agentic services: platform's primary conversational AI gateway based on multi-agent service (Python, pydantic-ai, FastAPI, PostgreSQL) that allows users translate their research goals an

Clearlaw project / AI - based contract-review and management / https://www.clearlaw.ai

Achieved:
- Developed the NLP core of a contract-analysis platform used by legal teams: models for clause chunking and classification, NER, relation extraction, and structured extraction of facts, obligations, and their components (achieving at least 0.89 F1 on key extraction tasks / across 660 clause classes a

Developed the NLP core of a contract-analysis platform, fine-tuned transformer models, and deployed containerized ML solutions for on-premise client use.

Korn Ferry project / Recommendation platform for HR specialists / https://kornferry.com

Achieved:
- Developed ML and service parts of graph for career transitions which are used in recommendations.
- Created a service for automated extraction of candidate skills from CVs. 


Technology Stack: Python (Pandas, Numpy, Scikit-learn, spaCy, Jupyter), Azure (Databricks, Pipelines, Devops), PySpark, Gi

Minnow project / Aggregator for series and movies from the most popular streaming platforms / https://minnowtv.com

Achieved:
- Developed matching algorithm for links from streaming platforms and corresponding movies / shows on Minnow's site: brought matching rate 1.7x higher for movies and 2.1x higher for shows. Matching algorithm included more thorough data preprocessing, search by several simil

Developed a matching algorithm for streaming platform links, improving matching rates by 1.7x for movies and 2.1x for shows, and trained language models on domain-specific texts.

Anagram project / Insurance billing automation SaaS for doctors and patients / https://www.anagram.care

Achieved:
- Built predictive models for set of benefits based on prior data about patients: list of benefits and coverage, copay, quantity for each benefit.
- Cluster analysis of insurance plans for better understanding of patient segments being verified in Anagram app.
- Built churn predictio

Worked on projects for several plants in Tomsk, Tobolsk, Kstovo, Voronezh: optimization of technological processes, predictive maintenance.

Achieved:
- Created ML models in frames of operation efficiency projects on several SIBUR plants. ML models were to forecast quality of products, energy consumption and material fluxes.
- Deployment of trained ML models to production for use by plant personne

Working with reservoir monitoring and control equipment: downhole pressure and temperature gauges, fiber optics equipment. Participation in workshop and lab activities.

- Embedded systems;
- Communications;
- Channel coding;
- Statistics;
- System programming;
- Real-time systems.

- Increased state scholarship for academic achievement in science - summer and winter semesters of 2014/15, 2015/16;
- V. Potanin Charity Foundation Sholarship 2014/2015, 2015/16;
- Scholarship of the President of Russian Federation 2015/2016;
- Yu. D. Maslyukov Scholarship 2015/2016;

- V. Potanin Charity Foundation Summer School (Moscow, Russia), 2015: received a financial support for social pro

Achievements:
- Increased state scholarship for academic achievement in science - summer and winter semesters of 2013/14.

Activities and societies: Increased state scholarship for academic achievement in science.

Bachelor of Technology in Metrology with increased state scholarship for academic achievement in science.