Program Manager Product Development

Mahshid Karimi

Sunnyvale, CA,

**************@*****.***, 805-***-****

https://www.linkedin.com/in/mahshidkarimi

Summary

I am a dedicated Human Interaction Product Engineer with a strong background in designing and developing user-

centric products that seamlessly blend technology and human experience. My experience spans from conceptualizing

and prototyping to testing and iterating, resulting in products that deliver exceptional user satisfaction and exceed

business objectives. I'm adept at leveraging the latest technologies, such as AI, AR, and VR, XTR to enhance user

experiences and create memorable interactions.

Core Competencies

• Human-Computer Interaction (HCI) Design

• User-Centered System Architecture

• AI/ML-Driven Interactive Systems

• Cognitive Systems & Behavioral Modelling

• Voice, Gesture, and Eye-Tracking Interfaces

• Usability Testing & Experience Design (UX)

• Multimodal Interaction Systems

• Wearable and Embedded Computing Systems

• Data-Driven User Interface (UI) Optimization

• Cross-Functional Team Leadership

Professional Experience

Meta March 2024- Present

Technical Program Manager (System/Devices)

• Driving the full prototype lifecycle from ideation to market launch, collaborating closely with XFN TPMs to

define and prioritize product features.

• Conducted risk and mitigation process to inform product development strategies.

• Defined product metrics and success criteria, regularly analyzing data to inform future feature development

and improve user experiences.

• Partnered with HW/ SW teams to deliver intuitive and user-centric products,

• Delivering the prototyping vehicle resulting in increase in UX research process.

• Streamline product development processes, reducing feature development timelines by 25%.

• Collaborated with engineering to prioritize and resolve 50% of critical bugs and issues pre-launch.

Paint Jam USA

Director of product development (contract) Oct2023-March 2024

• Directing and technical team to develop the Gene AI platform for Architecture and Art application

• Working directly with design and implementation team to create generative AI algorithms, including neural

networks, deep learning models, and other generative techniques, to enable cognitive painting, style synthesis,

and content generation.

• Train and fine-tune generative models, ensuring they produce high-quality, imaginative artwork based on user

input and artistic styles.

• Collaborate closely with UI/UX designers and software developers to seamlessly integrate generative AI models

into a user-friendly platform or application, allowing artists to interact with the AI effortlessly.

• Stay abreast of the latest developments in generative AI, machine learning, incorporated innovative techniques

into the cognitive painting platform.

DMF Lighting Technical product development R&D

Oct 2022 – May 2023

• Encouraging innovation and fostering collaborations with academia, industry partners, or another research

institutions to explore new AI technologies and applications.

• Overseeing the documentation of research methodologies, findings, and outcomes, and preparing reports or

presentations for internal and external stakeholders.

• Data collection team regarding ALS (ambient Light Sensor) sensing system and Camera for data collection for

design an autonomous lighting system

Microsoft, CA Jul 2021–Jun 2022

Technical Product/Program Manager (HW/SW/System) (Human-Computer Interaction)

• Led and managed multiple complex human interactions system projects for foldable/ surface and AR Focusing

on Optic and Sensing system from concept to delivery, ensuring timely and high-quality delivery of products.

• Led the creation of gesture-based interfaces for augmented reality (AR) applications, enhancing natural user

interaction with digital content.

• Developed multimodal human-computer systems leveraging AI and ML technologies, enhancing the interaction

experience through voice recognition, gesture control, and real-time feedback mechanisms.

• Architected adaptive user interfaces that learn from user behaviors and preferences, resulting in a 20%

improvement in user engagement and task efficiency.

• Led the development of intelligent systems that use cognitive models to predict user intent and provide

personalized interactions in consumer electronics devices.

• Collaborated with UX/UI designers and human factors experts to ensure system interfaces are intuitive,

accessible, and tailored to diverse user needs.

• Implemented data-driven approaches to interface design, using A/B testing and analytics to improve system

responsiveness and usability.

Oculus- Facebook -- Menlo Park, CA Sep2020 – Oct 2021 Technical Program Manager (HW/SW Core technology)

• Direct work with Product design and product team using Figma.

• Focusing on Image and Camera captures in real time image processing for AR/VR systems.

• Using computer vision and generative AI product development team for improving Workspaces and Horizon team

• Direct work with Camera and optomechanical team

• Working with Product leads, engineer managers and lead engineers in Product definitions in details, feature

completion and OKRs.

• Managed projects from start to finish consisting of Developers/Desktop/Network Resources.

• Developed, monitored, and tracked complex mission-critical concepts, and Project Management best practices.

• Coordinated estimation and planning for change requests and new features with offshore dev and test team.

• Communicated daily status and worked closely with client counterparts around often many and sudden change

requests.

• Responsible for redoing program alignments that showed better client results in all areas.

Apple -- Sunnyvale, CA Applied AI Research Solution Architecture Jan 2020- Sep 2020

• Research Strategy Development

• Collaborating with stakeholders to define and develop research strategies aligning with organizational goals

• Architected and implemented large-scale AI computing infrastructures for high- performance AI workloads

across cloud and on-premises environments, supporting various AI/ML models, computer vision, and generative

AI.

• Led the design of distributed AI solutions, using parallel computing and cloud-native architectures, enabling

faster and more efficient training of complex AI models.

• Collaborated with data scientists and engineering teams to design robust AI deployment pipelines, optimizing

compute resources and reducing model training time by 40%.

• Managed integration of AI/ML solutions into existing enterprise systems, improving real-time decision-making

capabilities and enhancing operational efficiencies by 60%.

• Spearheaded the implementation of AI governance frameworks, ensuring adherence to data privacy and

compliance standards.

• Drove AI optimization strategies, reducing compute costs by 45% using specialized AI accelerators (GPUs,

TPUs) and distributed computing solutions.

Identifying potential risks in research projects and developing mitigation strategies to address challenges and

uncertainties’

Davis Health System -- Davis, CA Artificial Intelligence Solution Architecture Jan 2019-Jan 2020

• Initiated a highly scalable Advanced Computing Integration System (ACIS) – a rapidly developed system of

artificial intelligence, IT systems, and business processes that achieved a 45% efficiency gain.

• Established processes to set up a new team for development and delivery using the ServiceNow automation

system.

• Led the team of AI algorithm developers.

• Architecture systems design principles, integrations for exceptionally reliable systems

• Produced a 35% budget surplus due to cost savings for hardware/software expenses.

• Managed a million+ dollar budget consisting of multiple phases ($300, 000 per phase)

• production processes, quality control, costs, and other techniques for maximizing the practical encrypted

computing for health-related data.

• Led the cross-functional team to build/launch an Advance computing integration system with PMs to shape

our product design to:

• Support service has several phases, including initial engagements with doctors and end-users, device

rollouts, data reporting, and user support for the program.

• Responsible for planning advanced computing systems including infrastructure development, and software

implementation for UC Davis medical center.

• Collaborated with software development teams to integrate AI/ML models into consumer electronics, driving

automation and improving device adaptability.

• Played a key role in the successful migration of legacy systems to a cloud-based infrastructure, using AI

capabilities to improve operations and reduce costs by 45%.

• Conducted technical assessments and Pocks (Proof of Concepts) for integrating new AI technologies into

existing systems.

• Using SQL query constructs and functions), directly working with data warehousing Oracle base for Realtime

data processing

Consensus Orthopedic Inc. -- Davis, CA System Solution Lead Jan 2017-Dec 2018

• Develop generic data logger for human physical activity from low to high frequency.

• Developed methods to assess the product verification and validation process.

• Discovered bottlenecks in test design and product qualification.

• Led Negotiation Committee with IBM Watson Health to close the deal by presenting companies’ strengths

and product values for IBM, helping my company and creating healthy collaboration in return

• Created a process for design control of the medical device and sensor applications using the reinforcement,

and Long Short-Term Memory (LSTM) networks machine learning algorithms.

• Worked closely with internal safety and quality leading to understanding DFMEA/DFM of module assemblies

for production to scale.

• Engineered human-centered AI systems that used deep learning models to enhance real-time interaction

between users and intelligent machines.

• Integrated cognitive systems with user interfaces, enabling more natural interaction patterns by adapting

system behavior based on real-time user feedback and cognitive load.

• Collaborated with cognitive scientists and AI researchers to build systems that aligned with human thought

processes, enhancing decision-making in critical applications such as healthcare and finance.

• Implemented human-in-the-loop AI models to refine system performance while keeping users in control of

key decisions, improving trust and usability.

• Defined testing procedures for valuable data collection, root cause analysis, and failure reports for capital

venture partners, and IBM collaborators

NXP Semiconductors Inc. -- Tempe, AZ Jan 2014- Oc2015 Senior Interaction Systems Architect Lead Engineer (R&D)

• Designed NXP's smart system competency using machine learning methods by applying supervised learning to

learn how to predict IoT systems for anomaly detection.

• Developed data logging infrastructure using C# embedded C programming, Python as a reference design (RD-

KL25- AGMP01, K-64S, and KL25Z).

• Designed and implemented IoT sensor-based systems for environmental monitoring and power management,

optimizing data collection, processing, and reporting across distributed systems.

• Defined Design of Experiment for IoT-based applications prototyping

• Developed custom embedded systems to interface with a variety of sensors

(temperature, humidity, motion, etc.),

resulting in enhanced sensing accuracy and system reliability.

• Implemented edge AI models for real-time anomaly detection, improving system responsiveness in critical

industrial applications such as manufacturing and logistics towards Zero defects in manufacturing process.

• Engineered smart home solutions that integrated multiple sensing modalities (motion, sound, temperature

• Developed system architectures for human-computer interaction in IoT environments, focusing on wearable and

embedded devices that provided real-time data visualization and control. • Architected a human-computer collaboration platform integrating AI decision-support systems, enabling users to

make more informed choices through machine-generated recommendations.

• Managed the integration of biometric and sensor technologies into computing systems, allowing real-time tracking

of user physiological data and adapting system responses accordingly. GN Technology, Vancouver, Canada CEO – Co-founder (Smart Sensing Product Development). Oct 2008-Dec 2012

• Advised on AI platform architecture and solutions for consumer electronics clients, focusing on enhancing

product intelligence and user interaction.

• Delivered customized AI solutions using advanced machine learning, computer vision, and natural language

processing models tailored to client needs.

• Worked closely with cross-functional teams to ensure the smooth deployment of AI/ML models and algorithms,

streamlining the development process and reducing time-to-market by 60%. IFC Centre, National Research Council of Canada -- Vancouver, BC Product Design Engineer (R&D) (Smart Sensing System Architect). May 2007-Oct 2011

• Architected smart sensing systems for industrial automation, integrating AI and machine learning algorithms to

process sensor data in real-time, leading to predictive maintenance and reduced equipment downtime by 20%.

• Designed edge computing solutions for smart city applications, enabling decentralized processing of sensor

data for real-time decision-making in traffic management, environmental monitoring, and public safety systems.

• Spearheaded the development of a multi-sensor platform that aggregates data from various IoT devices,

providing actionable insights and enabling automated responses to environmental and operational changes.

• Led the integration of wireless sensor networks (WSN) into IoT platforms, allowing seamless communication

between distributed sensor nodes and reducing data transmission costs by 30%.

• Collaborated with hardware and software teams to ensure efficient sensor data acquisition, low power

consumption, and optimal system performance in energy-constrained environments. Education

• University of British Columbia – Canada

Ph.D. Electrical Engineering, electrical sensing system design, Anticipated Graduation date. Jun/2026

Master of Engineering, Chemical Engineering, Electrochemical Sensing, 2008- 2011

Engineering Management Certificate, School of Business, 2010-2011

• Simon Fraser University – Canada

Master of Science, Physics (Devices and Electronics), 2001-2005 Certifications

• AWS Certified Solutions Architect

• Google Cloud Professional Cloud Architect

• Microsoft Certified: Azure AI Engineer Associate

• NVIDIA Deep Learning Institute Certification

• Certified Usability Analyst (CUA)

• Certified User Experience Professional (CUXP)

• Human-Centered AI Certification

• AI & Machine Learning Specialization (MIT Online courses)

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