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David Bednarczyk

@davidbednarczyk

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Senior AI Engineer and Python Developer with extensive experience.

United States

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What I'm looking for

I am looking for a role that fosters innovation and allows me to leverage my AI and Python expertise to drive impactful solutions.

I am a Senior AI Engineer and Python Developer with over a decade of experience in architecting and building sophisticated, data-intensive applications. My passion lies in solving complex challenges through the design and prototyping of practical, AI-driven solutions. I excel at leveraging both commercial and open-source models to create intelligent workflows, real-time data pipelines, and low-latency APIs.

Throughout my career, I have uniquely combined hands-on engineering with a strategic product background, delivering solutions that are not only technically robust but also aligned with business impact. My recent projects include developing a comprehensive real-time trade alert system and architecting a mission-critical data ingestion platform, both of which significantly enhanced performance and user experience.

Experience

Work history, roles, and key accomplishments

Current

Python Software Engineer

Current

Mercor

May 2025 - Present (3 months)

As a contributor to the development of a next-generation AI model for a globally recognized leader in generative AI, I am responsible for evaluating and enhancing its agentic coding capabilities. This involves designing and implementing real-world, multi-turn projects with vague prompts to stress-test the model's performance and generate high-quality data for fine-tuning. Analyze and reconstruct t

Data Engineering Git Model Fine Tuning

Senior Engineer

Simpler Trading

Sep 2023 - Present (1 year 11 months)

Architected and developed a comprehensive real-time trade alert system, reducing trade alert latency from 12ms to 4ms, significantly enhancing customer happiness and responsiveness. Built end-to-end Python APIs and data pipelines for seamless movement of production data to Snowflake, enabling advanced analytics and BI capabilities.

Real Time Systems Data Pipelines Snowflake Angular Capacitor

Senior Engineer Data Platforms

MBS Source

Sep 2022 - Present (2 years 11 months)

Architected and built a mission-critical data ingestion platform with Python, processing over 100,000 daily files for agency mortgage-backed securities. The platform served as the backbone for a new, revenue-generating analytics product. Developed predictive analytics tools and real-time streaming APIs, boosting platform utilization by 25%.

Data Ingestion Python Predictive Analytics Mortgage Backed Securities

Vice President, Fixed Income & Digital Assets Product Management

BNY Mellon | Pershing

Aug 2019 - Present (6 years)

Co-architected an ML-powered robo-advisor platform by defining the technical specifications, system design for data flows, and model integration requirements. Performed in-depth data analysis using SQL and Python to identify optimization opportunities in product portfolios, providing the quantitative backbone for key strategic decisions.

Machine Learning SQL Python Data Analysis Product Management

Co-Founder & Chief Product Officer

Stock Up Inc

Apr 2017 - Present (8 years 4 months)

Architected and built the initial prototype of a first-of-its-kind fintech platform for consumption-based investing, developing the core application which allowed users to purchase fractional shares in everyday brands.

Prototyping Fractional Shares Product Architecture

Quantitative & Electronic Trading Roles

Bank Leumi

Jan 2006 - Present (19 years 7 months)

Built advanced electronic trading platforms and liquidity aggregators in Python for global bond markets, automating execution and improving market efficiency. Implemented quantitative models (e.g., Random Forest Classifier) for predictive trading and risk minimization.

Python Random Forest

Education

Degrees, certifications, and relevant coursework

Temple University

Bachelor's Degree, Finance

2001 - 2005

Completed a Bachelor's Degree in Finance, gaining foundational knowledge in financial principles and practices. This education provided a strong understanding of economic markets and investment strategies.