Ivan Gorokhov

The project involved launching a new revenue stream at Toptal by utilizing freelancers' insights from engagements. It began with identifying opportunities through data analysis and user research, then developing an MVP using no-code tools. This initial phase secured stakeholder buy-in, leading to the preparation of a comprehensive solution and establishing processes for internal teams.

ACCOMPLISHMENTS
As a product manager, I spearheaded the project using Agile methodologies, product analytics, and strategic planning. I identified potential upsell opportunities, developed the MVP, and collaborated with stakeholders to implement a scalable solution, ensuring internal teams were aligned and processes were established.

We built an AI-driven tool that can easily identify the best-fit candidates for the job. I began by conducting discovery sessions with recruiters and building a data collection engine. Partnering with the data science team, we developed an initial scoring model and a stack of large language models (LLMs). We validated the model manually and with the recruiter's feedback.

The MVP helps recruiters select candidates from a refined list, allowing them to focus on just two to three candidates with highlighted benefits rather than sorting through dozens of applications.

A large CIS retailer aimed to transition from slow, siloed development to Agile product teams. My role involved defining the optimal team structure and establishing objectives, key results (OKRs), and goals for each product team in collaboration with team leads. Additionally, I recruited PMs for new teams and provided training on Scrum and Agile methodologies to ensure smooth adoption and effective collaboration.

The project focused on developing a system to improve the quality of city taxi services by leveraging data from city cameras and geolocation information from taxi operators. The goal was to identify and address fraudulent activities among taxi drivers.

PROBLEM
The primary issue was the mismatch between the registered and actual locations of taxis, indicating potential fraudulent accounts and unauthorized drivers operating within the city.

ACCOMPLISHMENTS
As the head of product, I designed and built a system that detected discrepancies in taxi locations. Using Agile methodologies, backlog prioritization, and strategic prototyping, we collaborated with police and taxi operators to create a near-real-time identification system for fraudulent activities.

OUTCOMES
The system successfully reduced fraudulent rides by 75% and suspended 1,500 fraudulent accounts weekly, significantly enhancing the integrity and reliability of city taxi services.

I led a project to automate the detection of violations among a fleet of 700 drivers, previously managed manually by a 20-person department. This initiative aimed to reduce manual workload and optimize the department's resources.

PROBLEM
The primary issue was the time-consuming manual review of numerous driver violations, compounded by unstable GIS data that caused delays and inaccuracies in detection.

ACCOMPLISHMENTS
I oversaw the automation process by developing a PoC and collaborating on real-time data processing and algorithm development. I utilized skills in data analysis, stakeholder management, and product strategy. Additionally, I led the creation of a UI and facilitated sessions with drivers and managers to ensure practical implementation.