My professional focus integrates Product Strategy, API Architecture, and AI/LLM Engineering with Financial Analysis, Quantitative Modeling, Data Analysis, and Project Management. I use complex data to drive strategic decision making, optimize operational efficiency, and deliver effective solutions within diverse settings like Fintech, Software as a Service, and Public Sector Consulting. My Chemical Engineering background provides a strong basis for analytical reasoning and tackling intricate problems. Core competencies include end-to-end product lifecycle management from concept through production, rigorous financial modeling and assessment, and advanced quantitative analysis. I also specialize in AI/LLM integration including agent toolchain development with MCP protocol and REST APIs, designing controlled experiments to validate AI-driven outcomes, and building full-stack data products with TypeScript, Node.js, PostgreSQL, and Redis. Additional technical proficiency covers SQL, Python for analysis, automation, modeling, and quality assurance, Supabase, and Jira. I have practical experience applying AI, ML, and LLMs to extract actionable knowledge from challenging competitor and operational data sets, and use Claude Code for architecture planning, security auditing, and full-cycle project execution. My history demonstrates consistent delivery of measurable value. Examples include: \~ Building a financial data API from zero to production as sole technical operator, delivering seventeen analytical endpoints, four-tier billing, and twelve rounds of security testing with sixty-two issues identified and sixty-one remediated. \~ Optimizing multi-million dollar budgets, resource allocations, and treasury positions exceeding ten million dollars, which extended project runways by twenty percent and enhanced capacity planning. \~ Designing and executing a four-arm randomized controlled experiment across over one thousand decision points to validate product effectiveness, with positive results across all seven independent runs. \~ Reducing project delays and the time needed for feedback resolution by twenty-five to thirty percent through targeted workflow automation using Python and Jira alongside process enhancements. I perform best in dynamic environments requiring the application of my varied skill set to solve difficult problems and foster growth informed by data. I seek opportunities where thorough analysis, strategic perspective, and efficient execution can generate substantial business impact.

Daniel Kalski

Solo founder running controlled LLM evaluation experiments. ChemE plus 6 years biosensor research lead.

About

Publications

Dual-channel nano-carbon-liquid/liquid junction electrodes for multi-modal analysis: redox-active (dopamine) and non-redox-active (acetylcholine)

The Analyst

2025

Education

University of Illinois at Urbana-Champaign

Bachelor of Science in Chemical Engineering, Chemical Engineering / 2019

Experience

Shen Research Group

Research Lead / January, 2018 — August, 2024

Led a research team developing precision biosensors applying statistical analysis and experimental design techniques to optimize sensor parameters and validate performance across controlled test conditions. Standardized electrode fabrication processes by implementing data-driven quality control measures and documenting reproducible protocols increasing production success rate by 350%.

PreReason

Product Lead / October, 2025 — Present

Architected and solo-built a production financial data API from zero using Node.js/Express, Supabase PostgreSQL, Upstash Redis, and Vercel serverless infrastructure, delivering 17 pre-analyzed briefings and 30+ real-time metrics to AI agents and developer consumers. • Designed a 4-tier subscription billing system with Stripe API integration and x402 cryptocurrency micropayments using JWT/API key authentication and Redis-backed rate limiting, enabling automated usage metering and pay-per-call access for enterprise API consumers. • Built automated multi-source data pipelines ingesting SEC EDGAR filings, CoinGecko APIs, and FRED macroeconomic data using PostgreSQL with BRIN indexing and scheduled cron jobs, powering Bitcoin treasury tracking across 30 public companies and cross-asset correlation analysis.

Nova Network Foundation

Product Manager / August, 2023 — October, 2025

Led product management for a B2B SaaS platform using Agile methodology, defining product strategies focused on platform growth and driving prioritization decisions across the full product lifecycle. • Managed prioritization and trade-offs for platform development by optimizing $10M+ resource allocation using SQL forecasting, extending project runway by 20% to meet strategic growth timelines. • Enhanced development workflows using Python automation for validation and process optimization, improving data integrity and reducing feedback resolution time by 25% to accelerate feature shipping.

Hector DAO

Product Manager / August, 2022 — August, 2023

• Managed end-to-end product lifecycle for a B2B digital marketplace using Agile Scrum methodology, aligning cross-functional engineering and design teams to deliver a production launch meeting all scope and timeline requirements. • Translated user research and competitive market analysis into prioritized product specifications using quantitative impact scoring, driving feature decisions that focused development resources on highest-engagement capabilities. • Improved team sprint velocity by 30% by redesigning Agile workflows in Jira and Confluence with standardized story templates and acceptance criteria, reducing project delays and improving cross-functional delivery cadence.

Deloitte Consulting

Business Analyst / July, 2021 — August, 2022

• Delivered data-driven business analysis for large-scale B2B system modernization projects, applying user needs analysis and technical solution design to optimize workflows and business operations for government clients. • Improved communication clarity for 700,000 individuals by analyzing system requirements and redesigning user-facing outputs, enhancing engagement through data-driven usability improvements across a public-sector platform. • Built interactive Tableau and Power BI dashboards using SQL data extraction, analyzing $50M in annual program allocations to synthesize KPI metrics and provide data-informed budget recommendations supporting executive decision-making.

Links & Social Media

Personal Web Site

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