Education

Master of Engineering (M.Eng.) Engineering Management, Systems Engineering

Cornell University, 2024

Experience

AT&T - Senior System Engineering Manager, Data AI

April 2022 - Present

  • Launched network diagnostic LLMs (NLP, GraphRAG) and device geolocation AI with 10 meter precision, enabling operations teams to identify network investment opportunities that reduced network latency by 35% and empower customer care to resolve anomalies with 50% greater accuracy.
  • Architected end-to-end development of AI agent that analyze 50B daily records from over 19M Android OS devices to produce network performance insights and proactively address issues.
  • Launched over 15 software release candidates each year, automated data pipelines, and scaled ETL workflows (Kafka, Databricks, Snowflake) generating 1000+ actionable KPIs, enabling $100M+ in operational cost savings, and reducing manual data processing time by 70%.
  • Owned and optimized CI/CD pipelines (Jenkins, Docker) to streamline data ingestion and transformation of 4G/5G network data streaming processes utilizing Kafka, REST APIs, & Snowflake DB; implemented robust analytics validation with Android framework, schema comparison, & SonarQube to ensure 99% data accuracy & system reliability.
  • Drove network optimization by deploying REST APIs (Java / Spring Boot) and Power BI dashboards to visualize $500M infrastructure spend, aligning KPIs with business OKRs (e.g. 20% YoY reduction in network downtime)
  • Defined device integration roadmaps for 100+ device models annually; developed A/B testing strategies to evaluate feature impacts, triaged KPI-critical issues via Atlassian Jira / Confluence; prioritized binaries, test validation milestones, & patch builds with R&D.
  • Led quarterly PI planning, weekly backlog grooming, and daily Scrum standups; partnered with engineering, QA, marketing, & OEM R&D teams (Google, Samsung) to align on technical roadmaps, mitigate risks and blockers, and deliver AI automation solutions 30% faster across the agile release cycles.

AT&T - Senior Technical Product Manager, Enterprise Advertising Data

April 2021 - April 2022

  • Architected and led development of an AI/ML-powered data intelligence platform (Snowflake, Python) that ingested over 5 PB of HBOMax / DirecTV multichannel metrics and analyzed over 50M household user metrics (viewing habits, purchasing behavior, interests, sentiments, income), enabling hyper-personalized advertising strategies that drove $7B in annual revenue.
  • Implemented predictive analytics pipelines (Snowflake) to transform raw data into monetizable insights, improving advertising ROI by 20% and reducing manual analysis time by 30% through automated ML workflows.
  • Streamlined SDLC workflows for 11 data pipelines and scaled ML deployments, accelerating deployment by 10% via CI/CD pipeline optimizations (Jenkins, GitLab)
  • Designed real-time data ingestion workflows using Kafka and REST APIs, enabling continuous updates to user profiles as part of identity resolution and ensuring 99% data accuracy for advertising targeting.
  • Formulated micro-service architecture around: data collection, data integrity, feature engineering, research, strategy, backtesting, deployment, and reporting.
  • Orchestrated cross-functional collaboration across 5 engineering teams, 2 data science teams, and legal/compliance, prioritizing requirements in Jira, and translating technical insights into business strategies.

AT&T - Technical Product Manager, Cloud Architecture

July 2020 - April 2021

  • Owned the end-to-end migration strategy for a $40M retail sales platform, transitioning analytical workloads to Azure Synapse to improve scalability for 5000 US retail stores, aligning with business goals to enhance operational efficiency.
  • Implemented containerized microservices (Docker, Kubernetes) to streamline ingestion of 10+ TB of sales data daily, reducing system latency by 15% and deployment time by 30%.
  • Coordinated agile development for 3 Scrum engineering teams to drive IaC practices, align technical roadmaps, & prioritize features to meet business goals for $1B annual sales compensation payouts.
  • Maximized engineering UAT efficiency by 10% via automated testing frameworks (Selenium) & proactive P1 / Severity-1 risk mitigation, ensuring seamless rollouts for retail operations.
  • Automated financial reporting via Power BI & Excel macros, reducing 20% manual effort & improved burn rate tracking accuracy.

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 / Release Train Engineer, FirstNet

June 2019 - August 2019

  • Scoped, prototyped, validated, and constructed next-generation software solutions for a high-valued project to transform E-911 public safety.
  • Orchestrated 8 agile Scrum teams of software engineers and architects on projects comprised of network elements and data stores.
  • Managed program iterations and features as a key product evangelist on internal and external teams saving the project $210k.
  • Designed, prototyped, & pitched a VR app to create an enriched HBO Max streaming UI/UX on Meta Oculus (developed with Unity game engine & Blender)

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.

Atlassian Confluence
5 / 5
Atlassian Jira
5 / 5
Microsoft Excel
5 / 5
Microsoft Outlook
5 / 5
Microsoft PowerPoint
5 / 5
Microsoft Sharepoint
5 / 5
Microsoft Word
5 / 5
Product Roadmap (0 to 1)
5 / 5
Agile Methodology
5 / 5
Continuous Integration and Continuous Delivery (CI/CD)
5 / 5
Cross-Functional Collaboration
5 / 5
Scrum Methodology
5 / 5
Software Development Lifecycle (SDLC)
5 / 5
UI/UX Design-Thinking
5 / 5
Microsoft Power BI
4 / 5
Data Visualization
4 / 5
Device Integration
4 / 5
Figma
3 / 5
C
3 / 5
C++
3 / 5
HTML + SASS / SCSS / CSS
3 / 5
Java
3 / 5
Swift
3 / 5
Javascript
3 / 5
Typescript
3 / 5
Git / Mercurial
3 / 5
GitLab
3 / 5
Jenkins
3 / 5
Jupyter
3 / 5
NoSQL (MongoDB, Cassendra)
3 / 5
Python
3 / 5
R
3 / 5
SQL (mySQL, PostgreSQL, SQLite3)
3 / 5
Tableau
3 / 5
Apache Hadoop
3 / 5
Apache Kafka
3 / 5
Databricks
3 / 5
Docker
3 / 5
Kubernetes
3 / 5
Snowflake
3 / 5
Data Lakes (Delta Lakes)
3 / 5
Data Warehouses (Redshift, BigQuery)
3 / 5
Extract, Transform, Load (ETL) Pipelines
3 / 5
Microsoft Azure (Synapse, Data Factory)
3 / 5
Large Language Model (LLM)
3 / 5
Retrieval Augmented Generation (RAG, GraphRAG)
3 / 5
Bash
2 / 5
Node.JS
2 / 5
React
2 / 5
Artifactory
2 / 5
GraphQL
2 / 5
Apache Spark
2 / 5
Matplotlib
2 / 5
Numpy
2 / 5
Pandas
2 / 5
Data Mining
2 / 5
Amazon Web Services (AWS S3, EC2, Glue)
2 / 5
Google Cloud Platform (GCP BigQuery, Dataflow)
2 / 5
Scikit-Learn
2 / 5
Tensorflow + Keras
2 / 5
Vector Embeddings / Vector Databases
2 / 5
Mypy
1 / 5

Certifications

Scaled Agile – Certified SAFe® 5 Scrum Master
Scaled Agile – Certified SAFe® 5 Product Owner/Product Manager
Scaled Agile – Certified SAFe® 5 Agilist
● AT&T REST – Representational State Transfer (REST) Bronze Certified
● MIT - Designing and Implementing Big Data Analytic Solutions