Adam Makhlouf

Engaged to enhance data platform capabilities, and drive AI tooling adoption and AI-assisted development practices across engineering teams. - BigQuery Performance Optimization: Contributed to reduce slot usage across 100K+ daily jobs improving job completion times and reducing resource contention. - AI-assisted Development Adoption: Established Cursor + MCP server workflow as internal best practice, training dozens of engineers through hands-on sessions. Improved code quality and prevented common anti-patterns through automated guardrails integrated into development workflow. - Custom Automation Infrastructure: Developed tailored BigQuery MCP server for company-specific optimization needs, enabling engineers to automate job analysis and optimization at scale. Solution adopted across engineering teams for standardized performance improvement. - Knowledge Transfer: Led optimization workshops for 40+ engineers in data guild. Mentored team on BigQuery best practices (partitioning, clustering, query optimization) and AI-assisted development tools (Cursor, Claude Code, Codex). - Process Redesign: Simplified Analytics Engineering team's migration to dbt by proposing streamlined git workflow and modern CI/CD practices using AI-assisted development, reducing friction and improving delivery velocity.

This is my Data & AI consulting business.

Headed data strategy and engineering at Combo (120+ employees SaaS scale-up simplifying HR and team scheduling for SMBs and their frontline teams), implementing a modern data stack and driving critical business initiatives: • Architected and implemented a cost-efficient data infrastructure using GCP, BigQuery, Airbyte, dbt, Hightouch, Segment, Metabase and ThoughtSpot enabling company-wide data-driven operations and analytics. • Led the redesign of the company's usage-based billing system, identifying €600K+ in missing ARR (20% of annual sales target) and preventing future revenue leakage through automated usage tracking. • Overhauled product analytics by implementing comprehensive and best practices event tracking, enabling product teams to measure feature adoption and optimize conversion funnels. • Improved embedded analytics solution for premium clients by designing a scalable architecture leveraging our cloud data warehouse capabilities and reducing even complex query times to sub-second. • Built mission-critical data products including a customer health scoring engine and executive dashboards, driving operational excellence across Sales, CS, Marketing and Finance teams. • Led cross-functional initiatives to integrate systems and data flows, establishing single sources of truth for business operations.

Projects for clients : - Machine learning engineering and MLOps: Implementing a SOTA machine learning engineering platform on Azure for a banking client. Use case: Real-time micro-credit attribution for e-money retail clients in Western Africa. Keywords: Azure ML, Model registry, training pipeline, real-time inference, AKS deployment, CICD, Azure DevOps. - Data and cloud engineering: Development of a real-time data historian: solution for ingesting, storing, and visualizing high-frequency sensor data for a renewable energy actor. Up to 150k / messages per second. Tech stack: AWS with CDK (IaC), InfluxDB, S3, SQS, Lambda. - Implemented a BI stack in a high security air-gapped cloud environment for the French Minitstry of Internal Affairs.​ Tech stack: PostgreSQL, DataikuDSS, Tableau. Internal responsibilities : - Team manager of the Data & Tech expertise - Google Cloud Platform organization account admin - Gitlab & Github organization account admin

Built the company data roadmap to serve the company’s strategy. Accompanied the product team on various product and data analyses.

Data-driven investment analysis coupled with product management covering aspects ranging from operations through legal to distribution and marketing • Investment & data analysis: time-series and simple to complex systematic quantitative fund’s strategies analysis (hedge fund and long-only). • Product management: oversight of products life from inception to closure including performance, operations, and commercial activity. • Business development: product specialist role for the hedge fund products and support to the international sales team. • Designed several dashboards to monitor the full spectrum of the team’s activity (investments, sales and operations) and developed the processes to manage all data flows from our services providers feeding them. • Ad-hoc bespoke portfolio construction and optimal allocation studies for clients.

Delta-One products and options on multi-asset class underlyings, based on UBS proprietary indices and bespoke client strategies. • Priced and filled orders for the secondary market of the desk’s products. • Managed and hedged the Actively Managed Certificates in the delta-one sub-book. • Built an improved Delta spreadsheet with various additional features enabling the desk to monitor its risk more effectively. • Run reporting, price and level contribution along with various processes around the book's risk management. • Arranged transition to a more stable price contribution system resulting in reduced operational risk in our market-making commitments.

Investment Banking Division - Risk Solutions Group RSG is a global risk management house providing strategic and tactical risk solutions to help corporate clients manage their exposure to foreign exchange and interest rate volatility. • Performed modelling and Monte-Carlo simulations over a client’s liability portfolio (including bonds, floating and inflation-linked debt) to assess the effect of different hedging strategies. • Built an interest rates swap pricer to match the results obtained by the in-house one. • Prepared a daily morning update for the team and a weekly rates market update for the department also used in presentation to clients. • Improved the team’s Monte-Carlo simulation model enabling the use of a variable volatility time-structure.

• Calculated daily estimation of P&L of funds on the platform including contribution of each instrument. • Developed several tools to automate tracking of client’s positions in each share class, and producing various analysis of funds activity. • Prepared relevant data and quantitative analysis for the monthly reporting to investors in the funds of the platform. • Conducted the preliminary analysis of portfolios of potential funds to on-board on the platform to assess suitability to a specific format.

HypAM is a quantitative hedge fund project implementing a Big Data predictive algorithm to financial markets. • Designed the main process retrieving large historical data sets which then ensured data relevance and completeness. • Implemented various VBA monitoring tools to accommodate the fund’s systematic trading strategies on European Equities. • Reported and analysed the systematic strategies evolution and daily P&L of the fund.

- Managing IT ressources: computers, servers, website. - Developing new features on the website.

Blue-collar internship. Study to establish a new production line.