Nazeer Ahmed

Leading, ideating, building and deploying both classical AI (ML) and gen AI products

Role
Data Science Manager (Classical and Gen Ai) at T-Mobile
Location
Seattle, WA, US
LinkedIn followers
500 followers

About Nazeer Ahmed

Data science (DS) manager who finds, leverages and monetizes your company\'s unique data assets both by building data and NLP (Natural Language Processing) products. Without an applied DS product director, companies take longer - months to years longer - to find their next multi-million dollar data or AI product. In a worst case scenario, companies never discover their next multi-million dollar data product to build. Consulted as a data science director for one company that spent nearly two years building a restaurant mobile app (similar to the Uber doordash app) for restaurants only to retire it because of a lack of demandHaving been in multiple startups, I use a risk assessment framework to evaluate the probability of success for a data product i.e, financial, technology, execution, market and profitability risk.So identified in months with one pivot an annotation product that covered cloud infra costs to support it that was profitable. Identified in less than a year with a 2nd pivot a legaltech product that could generate a million dollars in gross revenue within six monthsExperienced manager leading science and engineering teams to ideate, design, build and launch cloud-based software products that use Artificial Intelligence (AI): both machine learning and deep learning (specifically natural language processing) models. Strategic AI Advisor in the commercial application of AI to executive decision makers at two companies. With 20 years-experience in start-ups and large enterprise environments, can launch a wide range of consumer and enterprise software products (web, mobile, desktop) for global companies and niche players. Strong communication skills enable- clear planning and strategy conversations with executives- organized plans and schedules with technical project teams - deep understanding of features and benefits required by diverse customers- coordination and oversight of multiple project teams driving to a single launch dateExamples of my multi-million dollar consumer product releases include T-Mobile Digits and Alexa for Amazon: Alexa used deep learning models and other techniques to make it a smarter voice assistant. One example of an AI (Natural Language Processing) product for enterprises was an annotation and e-discovery solution. Also launched a startup after identifying a $40 million dollar opportunity in gesture-based gaming.

Experience

  1. Data Science Manager (Classical and Gen Ai)

    T-Mobile

    Mar 2025 — Present · Bellevue, WA, US

    Reduce manual call routing of millions of customer support calls using intelligent routing techniques (classical AI, gen AI and agentic AI techniques)

Education

  • University of Washington

    Bachelor of Engineering (B.E.), Mechanical Engineering

  • Seattle University

    Master of Science (M.S.), Software Engineering

Skills

  • Cross-Functional Team Leadership
  • Sdlc
  • Product Development
  • Program Management
  • Wireless Technologies
  • Enterprise Software
  • Start-Ups
  • Agile Project Management
  • Product Management
  • Project Management
  • Product Marketing
  • Software Development
  • Scrum
  • Integration
  • Software Development Life Cycle (Sdlc)
  • Software Project Management
  • Testing
  • Agile Methodologies
  • Management
  • Leadership
  • Mobile Devices
  • Wireless
  • Business Analysis

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Nazeer Ahmed — Data Science Manager (Classical and Gen Ai) at T-Mobile in Seattle, WA, US | Unifers