Education
Master of Engineering (M.Eng.) Engineering Management, Systems Engineering
Cornell University, 2024
Bachelor of Science (B.S.) Computer Science, Minor in Entrepreneurship
Experience
AT&T - Senior System Engineering Manager, Data & AI
April 2022 - Present
- Own the product strategy for AT&T’s large-scale data and AI platforms, delivering predictive diagnostics, real-time geolocation intelligence, and automation capabilities that strengthen network reliability and elevate customer experience across millions of mobile devices.
- Drive the development of advanced GenAI solutions, including LLM-powered diagnostics and retrieval-augmented analytics, to help engineering and operations teams identify issues faster, uncover optimization opportunities, and accelerate problem resolution significantly faster.
- Oversee end-to-end architecture for high-volume telemetry ecosystems, guiding design decisions across ingestion, data quality, ML pipelines, and analytics layers to ensure accuracy, resilience, and scalability for mission-critical, multi-billion-event workloads.
- Partner closely with major OEMs, including Google and Samsung, to define device-level integration roadmaps for over 100 device model variants, validate new capabilities, and ensure interoperability across diverse Android ecosystems, driving consistent improvements in firmware reliability and device performance KPIs.
- Lead cross-functional teams across engineering, AI/ML, design, and business operations, aligning on priorities, resolving technical blockers, and delivering AI-driven features and platform enhancements with predictable velocity and high engineering quality.
- Define success metrics, data quality standards, and operational guardrails that tie engineering delivery to measurable customer outcomes, ensuring data quality, model performance, and product decisions directly contribute to measurable improvements in anomaly detection, network responsiveness, and device experience across nationwide user populations.
- Evangelize platform capabilities across the organization, influencing adoption, enabling new use cases, and guiding stakeholders on how to leverage AI insights, real-time KPIs, and analytics frameworks for strategic decision-making.
AT&T - Senior Technical Product Manager, Ads Data Platform
April 2021 - April 2022
- Spearheaded the 0→1 development of an enterprise-scale ads intelligence platform, transforming multi-petabyte viewership and behavioral datasets into actionable insights that powered a multi-billion-dollar hyper-personalized advertising ecosystem and informed business-wide monetization strategies.
- Shaped product vision, roadmap, and success metrics for identity resolution, audience segmentation, and predictive modeling capabilities, driving double-digit improvements in relevant ad experiences and campaign performance efficiency.
- Partnered with engineering, data science, and legal teams to deliver scalable ML pipelines and privacy-centric data governance frameworks, ensuring reliability, accuracy, and trust across all high-volume, downstream ad products.
- Orchestrated end-to-end execution of ML feature deployment, improving experimentation velocity and accelerating release cycles through optimized CI/CD workflows and automated pipeline validation.
- Built scalable telemetry and streaming data frameworks that enabled continuous updates to audience profiles, supporting real-time targeting and higher-impact ad delivery decisions.
- Directed cross-functional alignment across technical and business stakeholders, translating complex AI and data engineering concepts into clear product strategies that guided investment decisions and shaped go-to-market priorities.
AT&T - Technical Product Manager, Cloud Infrastructure
July 2020 - April 2021
- Architected the modernization of a large-scale retail analytics platform, driving the transition from legacy on-prem systems to cloud-native architectures on Azure, enabling faster insights generation and more scalable operations across thousands of retail locations nationwide.
- Formulated product vision and roadmap for containerized microservices leveraging Docker and Kubernetes, streamlining ingestion and processing of high-volume transactional datasets and delivering double-digit reductions in latency and deployment friction.
- Aligned with engineering, architecture, and business stakeholders to champion Infrastructure-as-Code and cloud automation best practices, improving delivery velocity and unifying technical milestones with high-impact retail and operations priorities.
- Oversaw agile execution across multi-team engineering pods, ensuring roadmap clarity, mitigating risks, and driving consistent execution toward reliability, scalability, and infrastructure modernization goals.
- Automated financial and operational reporting pipelines using Azure data services and BI tools, reducing manual overhead by double-digit percentages and improving leadership visibility into revenue, spend, and operational performance.
Rutgers Undergraduate Admissions - Scarlet Ambassador
May 2019 - September 2020
- Cultivated a strong first impression of Rutgers University for 10000+ prospective students each year through leading 35+ campus tours, 3 recruitment programs, and other daily engagement programs with prospective families.
- Adapted to spontaneous challenges in a constantly active office environment by collaborating with relevant stakeholders to define and resolve issues; exhibited courteous professionalism in answering undergraduate admissions inquiries online, on the phone, or in-person.
- Demonstrated effective communication, problem solving, and teamwork while upholding the model values of being an ambassador on behalf of the Office of Undergraduate Admissions.
Rutgers Residence Life - Resident Assistant
May 2019 - May 2020
- Collaborated with Residence Life staff to respond to student concerns and crises, to maintain a positive living community, and to build relationships with students and the community at large.
- Facilitated community development through meaningful individual interactions with 50+ residents, monthly floor meetings, and 9 residence hall programs annually.
- Fostered and inspired strong, inclusive, and engaging communities; encourage and support students in their academic, social, and personal growth
- Helped 50+ students develop transferable skills to succeed in a diverse global society and in a competitive job market.
Rutgers Residence Life - Peer Mentor
May 2017 - May 2019
- Provided over 30 first-year students in the Leadership Living-Learning Community with important guidance about academic, career, extra-curricular, and life successes.
- Conducted multiple 1-on-1 meetings with students every semester to check-in on their academic progression and personal growth.
- Mitigated unique conflicts and issues that arise between students by leveraging adaptive problem solving and conflict resolution techniques.
- Collaborated with colleagues to successfully plan and execute logistics for a trip to the United Nations in New York City.
- Worked directly with Rutgers Residence Life, Department of Leadership & Experiential Learning, and the School of Communication & Information to create effective monthly educational programs about leadership, organization, time management, self-confidence, and mental health.
Rutgers Department of Computer Science - Computer Science Instructor
March 2019 - May 2020
- Spearheaded a 10-week Artificial Intelligence and Internet Technology college level course for 25 first-year students.
- Taught computer vision to tag NJ/NY street signs, NLP sentiment analysis (Pandas, NLTK), neural nets, and augmented reality.
- Designed curriculums that engaged students through thought-provoking discussions, topical area debates, and hands-on development.
AT&T - Technical Product Manager, FirstNet Public Safety
June 2019 - August 2019
- Devised product strategy and feature concepts for next-generation E-911 public safety solutions, leveraging geolocation and network intelligence to streamline dispatch workflows and improve first-responder coordination at national scale.
- Collaborated with engineering, architecture, and compliance teams to align product priorities with mission-critical reliability and safety requirements, supporting agile execution across multiple cross-functional Scrum teams delivering high-availability public safety capabilities.
- Accelerated workflow and process optimization initiatives that enhanced operational efficiency and reduced program overhead, contributing to significant cost savings and improved delivery predictability for emergency communications projects.
- Designed and prototyped an immersive VR streaming experience for HBO Max, creating next-gen interaction models and 3D UX concepts using Unity, C#, Blender, and Meta Oculus to explore future media consumption experiences (AT&T 2019 Innovation Challenge).
Rutgers School of Arts and Sciences - Student Ambassador
March 2019 - June 2019
- Served as a student ambassador for Rutgers School of Arts and Sciences (SAS) to plan an execute academic programs on behalf of the school.
- Organizationed student outreach strategies, conference presentations, fundraising, and special projects; promoted SAS nationally and at photographing events.
- Coordinated and executed Rutgers Open House and Academic Planning and Advising Days for 3,500+ prospective and new first-year students.
- Co-produced initiatives with academic deans and administrators to promote the School of Arts and Sciences brand.
Huawei - Software Engineer
June 2018 - August 2018
- Engineered cost optimization analysis with React UI accessing AWS EC2 and S3 APIs for a dynamic $9M cloud management architecture, saving approximately $12000 per month for 6 international B2B clients (translated technical requirements between English and Mandarin Chinese)
- Integrated microservice tracing system as a containerized app on Kubernetes cluster, increasing debug app response by 7%
- Supported the development of production, on-line, end-to-end optimized machine learning pipelines with Pandas, Numpy, Scikit, Tensorflow, Postgres, etc. with Kubernetes.
- Built analysis to ensure data integrity using Pandas, t-SNE, SVMs, and other techniques.
Johnson & Johnson - Software Engineer
January 2018 - April 2018
- Developed biosensor performance notification system run on AWS AppSync (GraphQL) with serverless DynamoDB and S3 backend
- Integrated PostgreSQL database to automate 75% of manual processes for future R&D resource allocation & portfolio management
- Composed data analytics reports using SQL-based Looker Blocks to encapsulate performance and growth metrics for executive decision-making.
Skills
Note: I think these sections are silly, but everyone seems to have one. Here is a *mostly* honest overview of my skills.
Selected Courses
CS 112:
Data Structures
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CS 206:
Discrete Structures II
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CS 211:
Computer Architecture
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CS 336:
Principles of Information and Data Management
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CS 344:
Design and Analysis of Computer Algorithms
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CS 352:
Internet Technology
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CS 419:
Computer Security
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CS 428:
Computer Graphics
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CS 440:
Artificial Intelligence
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CS 443:
Advanced Topics in Cognitive Science: Minds, Machines & Computation
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CS 672:
Data Science for Smart Cities
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ENTR 103:
Accounting for Entrepreneurs and Small Business
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ENTR 105:
Design Thinking Approach to Innovation and Entrepreneurship
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ENTR 202:
Marketing for Entrepreneurs and Small Business
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ENTR 203:
Finance for Entrepreneurs and Small Business
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ENTR 303:
Managing Growing Ventures
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MATH 250:
Linear Algebra
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PHYS 204:
General Physics II
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PHYS 206:
General Physics Labatory II
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ENMGT 5900:
Project Management
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ENMGT 5910:
Engineering Management Project (Capstone)
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ENMGT 5920:
Product Management
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ENMGT 5930:
Data Analytics
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ENMGT 5960:
Negotiations and Contracts for Engineering Managers
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ENMGT 5980:
Decision Framing and Analytics
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ENMGT 6020:
Managing a Culture of Innovation
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NBA 5070:
Entrepreneurship for Scientists and Engineers
