Software Development Machine Learning

Vandana Singh

408-***-**** ********@*****.*** San Ramon, CA, 94582 Vandana Singh

Summary:

I am a Dynamic Technology Leader with Extensive AI and Engineering Expertise. With a versatile background spanning startups to large companies, I excel in driving technology-enabled strategies and solutions across diverse domains, including Android Mobile, Mixed Reality, IoT, and more. My expertise lies in leveraging AI/GenAI/Machine Learning to innovate and enhance software development in areas like Multimedia, XR/AR/VR, Voice Assistants, location services, and distributed systems (IoT, AWS/GCP/Azure). Renowned for exceptional engineering execution skills, I foster cross- functional collaboration to achieve strategic objectives, demonstrating a proven track record in product planning, technology assessment, and engineering execution. My leadership is further defined by successful product deliveries through OKR goal setting, Agile Methodologies, and optimizing Software Development Lifecycles, ensuring outstanding outcomes and technological advancement. Technical Expertise:

• Languages & Development: Expert in C, C++, Python, Java, Kotlin, JavaScript, Go; Proficient in full-stack development, AI/ML (TensorFlow, PyTorch, ONNX, Azure OpenAI), Speech Recognition, Computer Vision, and Mixed Reality Interaction, API design, multimedia, Android development, and performance optimization using Systrace, Perf. Experienced in developing and integrating audio and camera technologies for advanced applications.

• Data Management & Analysis: Advanced skills in leveraging PowerBI, Azure Data Explorer for actionable insights; adept in real-time data processing with Kafka and MQTT.

• Cloud & DevOps: Proficient in deploying and managing applications on AWS, Azure, GCP; experienced in CI/CD practices, containerization, and version control using Git, GitHub.

• Databases & Technologies: Expert in MySQL, MongoDB; proficient in Node.js, React; REST, gRPC, Websocket, WebRTC,

Experience:

Director of Engineering, Mobile Experience Platform Aug 2020 - Present Microsoft, Mountain View, CA

• Spearheaded the development of the Microsoft Device Ecosystem Platform (MDEP) for AI services/ Multimedia/Device Services, enabling Microsoft Teams Conferencing on OEM platforms and improving mobile experiences on Surface Duo. MDEP bridges applications with hardware, facilitating easy integration of Microsoft's services for Android IoT/Mobile devices.

• Enhanced the platform to support a Microsoft Security-certified Android distribution, providing an SDK for first-party apps, comprehensive Device Services, AI enabled observability, and AI enhancements for Teams conferencing, including intelligent camera and speaker functionalities

(Voice Quality Enhancement, transcription pipeline, speaker recognition, auto framing) and LLM powered meeting briefing and customer Insights.

• Instrumental in shaping organizational and technical strategies for MDEP, driving innovations in IoT, Mixed Reality, and mobile technologies. This significantly contributed to the success of Surface Duo2 and OEM Teams Conferencing solutions.

• Collaborate closely with the Product, Design, Software Performance and Quality, SRE teams throughout the Software development lifecycle.

• Orchestrated partnerships and development with the Teams group, OEM partners like Jabra, Yealink, Chipset Partners Qualcomm, Mediatek, Rockchip, leading to MDEP's adoption on over 200K conferencing devices (generating >$50M in ARR), with a target of 800K+ by the end of 2024.

• Proposed and led the development of AI based developer efficiency platform to analyze the production issues in real time and provide insight around area of concerns. Platform provides detailed dashboards with timeline, number of issues and concerned areas. It also provides the chat interface to further debug the each issues and find the potential solution. The product significantly increased the MTTR and saved hours of engineering time in analyzing customer issues.

• Managing global engineering teams across the US, India, Taipei, and Romania, focusing on AI/ML, Multimedia, and Device Services (Telemetry, Device Attestation Service, Provisioning Service) to develop and deploy critical platform services.

Software Engineering Manager Dec 2016 – Aug 2020

Magic Leap, Sunnyvale, CA

• Hired and built part of Connected Services team that developed initial Device services like Telemetry and Passable World Service for Magic Leap One device on Google Cloud Platform. PW service was essential to device localization upon device bootup.

• Spearheaded Middleware Interaction framework team which developed a unified Middleware framework in C++ for all input modalities like Headpose, Hand Gesture, Controller, Voice, Eye Gaze on ML1 Platform.

• Led the Development of C-API interface for applications built in Unity/Unreal to use ML Input APIs over ML SDK.

• Collaborated closely with Computer Vision Algorithm, Product, UI/UX Design and Quality teams to deliver ML1 to customers.

Tech Lead Manager Oct 2015 – Nov 2016

Cisco Systems, Milpitas, CA

• I managed the development of Indoor Location Platform, bringing new accuracy to indoor tracking systems using WiFi, BLE Beacons.

• I guided a team of five engineers, enhancing their skills and fostering a collaborative environment.

• Worked closely with major customers like Walmart to reduce accuracy related issue down to less than 10%.

• I was instrumental in integrating AoA algorithms into Cisco's Hyper-location Platform, raising the bar for location precision.

Staff Engineer, Advanced Technology group Oct 2012 – Oct 2015 Ruckus Wireless, Sunnyvale, CA

• I led the development of Ruckus SPoT, the Industry’s first cloud-based (AWS) Smart Positioning Technology. Started with a proof of concept development, evaluated multiple vendors. That effort led to acquisition of YFind’s cutting edge Machine Learning based Location Technology solution.

• Formed and led a skilled team of engineers, integrating efforts with the acquired YFind team to design and launch SPoT SaaS product to customers within a tight 8-month deadline.

• Our technology revolutionized how enterprises utilized location-based services, securing multi- million-dollar deals with customers like Singapore Metro Station (MRT). I architected a scalable framework supporting thousands of network nodes and groundbreaking features like site fingerprinting and Region of Interest (ROI) tracking.

• Collaborated with app development and automation teams to ensure quality and performance. Additionally, I worked with the product team to educate sales and marketing professionals, enhancing product deployment and troubleshooting capabilities.

• Handled development across various languages and platforms (C, C++, Java, Python, AWS, MongoDB, MQTT, Linux), emphasizing disciplined engineering processes to maintain high standards.

Senior Software Engineer June 2011 – Oct 2012

Juniper Networks, Sunnyvale CA

• Worked on the Juniper’s Remote Office suite product, a pivotal tool for simplified management of widespread network clusters via a single console, enhancing operational efficiency.

• Managed integral SNMP integration on Juniper WiFi access points, introducing automatic channel adjustments with DFS software, and established a robust RPC messaging framework.

• Undertook direct coding responsibilities, utilizing TCP/IP networking, C/C++ for advanced network management solutions on Linux-based routers and on-prem Servers. Senior Software Engineer March 2006 – March 2010

Meru Networks India Put Ltd, Bangalore India

• Contributed to the development of pioneering wireless/networking device drivers within the Linux Kernel, integrating with Atheros WiFi Chipsets, and crafting network management services that revolutionized IP provisioning and device monitoring utilizing TCP/IP networking, C/C++ for development.

• Our product innovations were instrumental in securing enterprise customers transitioning from extensive wired networks to more efficient wireless solutions, setting new industry standards in network transformation.

• Designed an in-house mobile device simulator capable of emulating hundreds of WiFi clients, significantly reducing the company's expenditure by negating the need for costly external testing emulators.

Education:

• Master of Engineering (ME) in Communication Systems (2003 - 2005), Indian Institute of Science, Bangalore, India (IISc).

• B.E. in Electronics and Telecommunications Systems (1998-2003) from National Institute of Technology Raipur (Previously known as Govt. Engineering College, Raipur). Publication:

Efficient and Fair Scheduling of uplink and downlink in IEEE 802.16 OFDMA Networks Publisher: IEEE Wireless Communications and Networking Conference (WCNC), 4/3/2006

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