Michael Loss

Generative AI (GAI) Solutions Specialist, Data Scientist, and Strategic Lead with a focus on Cloud Hyper-Scalers including AWS, Azure, and Google Cloud. Proven track record of bridging the gap between high-level business strategy and technical execution to drive enterprise-scale transformation. Experienced in technical pre-sales and business development, including leading GenAI COE discovery workshops for clients and delivering high-impact demonstrations for Fortune 500 clients.

Recognized as an innovator in advanced analytics with a pending patent for a real-time repricing system.

Chief Technical Architect - SEPHEID - Chicago, IL

(2024-09)

Sepheid is a 501(c)(3) Organization formed in 2024 by leaders in the non-profit and AI industry with an urgent mission to add the non-profit voice to the GAI revolution. We are committed to making GAI technologies accessible and affordable for non-profit organizations and the people they serve. Our client projects include:

• Agentic AI Co-Worker Platform for Nonprofit Organizations (2026-03 - present): Created a multi-agent AI co-worker prototype for dynamically generating role-specific AI co-workers in support of the nonprofit organizations we serve. The system uses a tiered orchestration architecture with specialized agents, a shared context layer, and a self-monitoring tier that reports directly to the human operator — enabling staff to operate with AI-augmented depth across domains beyond their direct experience
• This initiative doubles as a strategic catalyst to drive the development of agentic standards and protocols through collaborative engagement with the nonprofit community and open-source ecosystem — establishing interoperable frameworks that ensure nonprofits have a voice in shaping how AI agents communicate, coordinate, and serve mission-driven organizations.
• The platform uses structured analytical outputs that preserve human decision authority while the AI co-worker covers the full operational surface of the role. The shared context layer persists and travels with the user across tools, roles, and institutions — advancing a model where AI-generated knowledge and organizational memory become portable rather than locked inside any single platform.
• Tools-competition.org (2025-01 - present): Generative AI subject matter expert for evaluating funding proposals between $50,000 and $300,000 for innovative edtech solutions. Partnered with NORC’s (University of Chicago) Senior Vice President of the Education Division.
• tools-competition.org is sponsored by a consortium of Philanthropic Organizations, including: The Walton Family Foundation, The Schmidt Foundation and The Oak Foundation.
• Emergency Nurses Association (2024-10 - 2025-07): Developed “AskAnita”, a friendly AI Chat-bot designed to give conversational information about the organization to its members, hospital administrators and employees.
• Served as GenAI Solution SME to the organization's Technical Director and CEO to help create a product development roadmap for the Chat bot that aligns with their strategic business objectives.
• On-going GenAI architect, lead developer and senior technical SME for the RAG-based, Generative AI chatbot. Technologies heavily used include: Python, Amazon Bedrock, OpenSearch Knowledge Bases, Lang Chain and AWS Services, such as S3 and Lambda.
• Partnered with AWS’ Non-Profit Team to train the organization’s developers and technical managers in GenAI solution development using Amazon Bedrock and supporting AWS tools and services. The event was on-sight at ENA, and Amazon Bedrock architects were flown in.

Principal, AI Architect - LAUNCH CONSULTING GROUP - Chicago, IL

(2025-05 - 2026-02)

Senior leader in Launch’s Data & AI Studio, driving pre-sales, the design, development and delivery of enterprise-scale Generative AI solutions that align with client strategy, technical readiness, and business transformation goals.

• Strategic Client Workshops: Developed and led executive GenAI workshops for clients to identify high-value use cases and map long-term AI roadmaps, successfully establishing the firm as a primary technical consulting partner.
• Pipeline Development & Demonstrations: Partner with Sales Leadership to drive new business pipeline by delivering technical demonstrations for Fortune 500 prospective clients.
• Technical Sales Tooling: Architected proprietary development frameworks, such as "RapidChatbot", across AWS, Azure, and Google Cloud to accelerate Proof-of-Concept (POC) timelines and showcase innovative capabilities to prospective clients.
• Brand Advocacy: Acted as a GenAI Subject Matter Expert (SME) in client-facing forums, positioning the organization as a trusted innovator and securing buy-in from both IT leadership and business stakeholders.
• Gen-AI Architect and Developer: Plan, proto-type, develop and deploy Enterprise level Gen-AI solutions, such as chat-bots and Agentic Applications for public sector clients.
• AI Strategy & Client Enablement: Lead GenAI engagements across public and private sector clients. Shape AI roadmaps, facilitate discovery workshops, and define scalable platform strategies using AWS Bedrock, Azure OpenAI, and Google Vertex AI.
• Applied Innovation: Provide strategic guidance to enterprise clients on identifying, prototyping, and evaluating GenAI solutions. This includes aligning technical feasibility with business value and supporting internal teams through the development lifecycle.
• Center of Innovation: Senior Studio Leader for Launch’s Center of Innovation (CIO). Build Innovation Teams with an emphasis on Discovery-Driven development and delivery. Represent Launch in internal and external forums, showcasing how innovation through technology can change Work across industries.

Executive Director (Interim) - SPACE LAB - Chicago, IL

(2024-03 - 2024-07)

SpaceLab is a 501(c)(3) organization committed to helping everyone become future leaders and innovators in our Space Programs. SpaceLab's mission is to give people of color, women and members of the LGBTQ+ community marketable experience building real-world applications using machine learning, emerging technologies and software development.

• Refactored the organization to adapt to seismic shifts in the evolving non-profit space. Restructured the educational calendar, sharpened organizational messaging, revitalized member participation, recruited leading professionals in Non-profits, Technology and Consulting to join as Directors.
• Developed a structured AI training curriculum called “Escape Velocity”, designed to partner with for-profit corporations to accelerate workforce readiness in AI and machine learning for SapceLab’s members.

AI Solutions Architect - CAPGEMINI SE - Chicago, IL

(2018-03 - 2024-03)

Senior leader and driver of strategic integration of Generative AI within the enterprise tech-stack including establishing centers of excellence using Google, Azure and AWS AI services and tools. Innovative thought leader bringing emerging technologies to major corporations in manufacturing, retail and finance looking to transform their analytics platforms. Projects include:

• Lead Gen-AI Architect for a global marketing analytics client. Used Azure OpenAI to demonstrate how Gen-AI services, such as Azure AI Search, can be used to reference large caches of pdfs and build contextually relevant and scalable chatbot applications.
• Lead Gen-AI Developer & Architect for a global consumer goods company. Used LLMs in both OpenAI and GCP to agnostically build SQL tables from caches of pdfs, using prompt driven user inputs. Integrated this with Entity Matching algorithms for data quality analysis.
• MLOPS and Enterprise-Scale AI Systems: Team lead, Architect and developer of a cloud-based Machine Learning system for a multi-billion-dollar chemical manufacturing company. The system integrates Data Engineering, Data Science and MLOPS to train supervised learning models and generate predictions in support of high value business decisions. The project was deployed in under 4 months and recognized by senior leadership as yielding an ROI of $20 million annually.
• Pricing Strategy & Analytics: Developed an AWS Pricing system that dynamically re-prices products listed on the Amazon Market Place in real-time. Solution integrates several AWS services including: SQS, RDS, S3, Lambda and SageMaker. This solution was awarded a patent.

Director of Analytics: Sales & Pricing - FOLLETT HIGHER EDUCATION GROUP - Chicago, IL

(2014-06 - 2017-09)

Business owner and analytics architect for all of Follett’s Wholesale Textbook Sales, a 170-million-dollar operation with a mission to provide affordable textbooks to students across the U.S. and Canada. Sales channels include College Bookstores, Wholesale Trading Partners and On-Line Market places.

• Innovation: Recognized by the board of directors with the Follett Award for Innovation for work done to reframe on-line textbooks as a commodity so as to better understand pricing and procurement risk.
• Analytics/Big Data: Designed and implemented automated dynamic textbook pricing strategies, boosting sales margins to 33%, up from 16% in the prior year.
• Leadership: Built a business savvy team of technologists and data scientists committed to designing derivative-style instruments for selling textbooks.
• Business: Grew Follett’s B2C on-line textbook books business from 14 million to 30 million dollars in one year.

Technical Consultant: Predictive Financial Analytics - QUANTITATIVE STRATEGIST - Chicago, IL

(2013-04 - 2014-03)

• Stock Forecasts using Machine Learning (contractor with TradeSpoon Inc.): Combined C# and ‘R’ to build neural networks that flag options trading opportunities.
• Sentiment Metrics (academic agreement with StockTwits Inc.): Used an analysis metric called the Level of Emotional Awareness Scale to measure trading sentiment in over 6 million financial tweets.

Senior Quantitative Analyst: Equity Trading - BALYASNY ASSET MANAGEMENT LP - Chicago, IL

(2007-09 - 2012-12)

Quantitative Strategist and Algorithmic Signals Developer of a portfolio of automated strategies for a +$50 million trading book. Responsible for entire signal development life-cycle: trade idea origination, modeling and analysis, signal coding in C#, back-testing, live trading and risk management. Worked closely with the portfolio manager of the short-term trading desk to define trading strategies, determine risk controls and allocation logic.

Technologies used for development included: .NET, C#, TA-Lib quantitative libraries, SQL, Excel/VBA.

• Baskets Trading Strategy: A trend sensitive signal that used volatility adjusted relative strength, correlated price movement, volume fluctuations, and historical trading range analysis, to identify and exploit intra-day trading momentum in technology sectors.
• Machine Learning Macro Strategy: A statistically driven trading signal that employed entropy-based Decision Tree Logic, Data Bagging and Random Forests to train itself on historical pricing data to predict the S&P 500 close.
• Asian Pre-Open Bid/Offer Spread Trader: A strategy that scanned for under and over-valued Japanese equities by analyzing pre-open bid/offer spreads and taking positions seconds before the market opened for trading. Versions of this strategy also traded in Hong Kong, European and US markets.

M.A. - Corporate Anthropology - University of Pennsylvania, College of Arts & Sciences

B.S. - Economics - University of Pennsylvania, The Wharton School of Business

B.A. - Folklore and Folklife - University of Pennsylvania, College of Arts & Sciences