Feb 2024 – Present · 2 yrs 1 mo · Dubai, United Arab Emirates

• Led AI content enrichment pipeline projects including item name generation, multilingual translation, and vegetarian tagging.
• Developed an AI chatbot for partner support, enhancing customer service efficiency.
• Oversee AI-driven competitive intelligence projects to gain a competitive edge in the market.

Jul 2023 – Feb 2024 · 7 mos · Dubai, United Arab Emirates

• Led the development of the Conversional Recipe chatbot, featured in PC Mag.
• Developed a support chatbot that reduced operational costs by $1M annually.
• Engineered multi-modal embeddings for an entire catalog of millions of products, implementing a robust production pipeline.

Oct 2021 – Jul 2023 · 1 yr 9 mos · Dubai, United Arab Emirates

• Led the development of an out-of-stock detection model, resulting in $300K GMV savings in three months.
• Developed a non-food item matching semantic similarity algorithm for competitive intelligence
• Created a price index tool that closed 30% of assortment gap cases, resulting in increased sales and revenue.

Aug 2022 – Feb 2024 · 1 yr 6 mos · Dubai, United Arab Emirates

• Founder of an AI coding assistant for data scientists. (GenerativeAI)
• Leading a team of 4 developing the best AI coding assistant for data professionals with embedded data awareness.
• Grew the product to more than 2500 users.
• Won 2 prestigious accelerators, Antler and Alchemist.

Mar 2021 – Apr 2022 · 1 yr 1 mo · Dubai, United Arab Emirates · Remote

• Led a team of 10, developing an AI copywriting tool before generative AI became a term. (GenerativeAI)
• Raised over 50K USD
• Achieved steady 1K MRR.

Sep 2019 – Oct 2021 · 2 yrs 1 mo · Washington DC-Baltimore Area

• For Sony LATAM, Developed an algorithm for predicting the number of future song streams, enabling the company to optimize its marketing and promotion efforts for maximum impact. Forecasted streams for more than 200 artists.
• Developed an algorithm for predicting the admission possibility of students, improving the accuracy and efficiency of the university admission process.
• For ForeSquire, Developed a geo data algorithm for forecasting the number of customers crossing certain intersections, enabling the company to optimize their marketing and advertising strategies based on foot traffic data, resulting in over 1M in ad sales.
• Led the development of a SaaS product that created data dashboards based on social media data per user.

Jun 2018 – Aug 2019 · 1 yr 2 mos · Bishkek, Kyrgyzstan

• Developed ML models:
• Secondary or Primary Simcard identification using the users' usage patterns.
• Gender Prediction using calling metadata
• Age Prediction using calling metadata
• Big Data analytics:
• Taxi drivers and taxi clients identification.
• Home, Work location
• User's family Identification
• Developed architecture for ML models development and production deployment.
• Automated ML models prediction using batch processing and Docker.
• Developed various API for easier data access.
• Automated mapping of base stations on Google Maps and GeoJson.io