Open to opportunities

hassan iftikhar

@hassaniftikhar1

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Data Scientist building end-to-end ML and generative AI systems with real business impact.

Russian Federation

Message

What I'm looking for

I’m looking to build end-to-end ML/GenAI products with strong data pipelines, real-time evaluation, and rigorous experimentation (A/B testing). I want a role where I can ship models to production and continuously improve business KPIs.

I’m a Data Scientist with experience in machine learning, deep learning, reinforcement learning, and generative AI. I build end-to-end solutions—from pipelines to production models—focused on measurable outcomes, like transforming presentation video signals into actionable speaker feedback.

Highlights include creating an AI tool for slide feedback using speech and transformer-based language models, delivering 96.42% accuracy for UNET retinal vessel segmentation and improving diabetic retinopathy detection, and scaling analytics through ETL pipelines (Talend, Pub/Sub, Dataflow, BigQuery). I also drive product impact with A/B testing and user segmentation, and develop reinforcement learning approaches to optimize policy learning and game economy parameters.

Experience

Work history, roles, and key accomplishments

Current

AI Researcher

Current

Applied AI Center, Skoltech

Sep 2024 - Present (1 year 7 months)

Conducted research on reinforcement learning, including an offline RL variant to extend applicability of RL methods. Performed user segmentation using RFM and 20/80 rules and designed A/B tests on mobile game economy parameters to optimize engagement, monetization, and ad interactions.

Data Scientist

Sberbank

May 2025 - Aug 2025 (3 months)

Built generative models and intelligent monetization/user-experience systems for finance and beyond. Increased mobile game revenue by 23% while maintaining player retention, and developed an end-to-end speaker feedback system with audio-processing pipelines, ML quality models, and automated ETL to BigQuery.

Data Scientist

Inspired Square Fze

Jul 2022 - Aug 2024 (2 years 1 month)

Created an AI tool for slide feedback using speech- and vision-based feature extraction, transformer-based models, and language models with real-time evaluation. Built and deployed ML models including UNet-based retinal vessel segmentation (96.42% accuracy on DRIVE) and supported product analytics via ETL pipelines, dashboards, and A/B testing.

Data Engineer

Dcube Tech

Jan 2022 - May 2022 (4 months)

Developed a predictive modeling framework to forecast a player’s 90-day lifetime value from the first 7 days of activity and support personalized targeting strategies. Enabled early identification of high-value users to improve retention and revenue for mobile puzzle/strategy games.