Dharamrajsinh Vadher

Software Engineer

Menlo Park, California, United States11 mos experience

Key Highlights

  • Automated deployment for 100,000 devices, saving significant time.
  • Developed AI tool for real-time sentiment analysis.
  • Led company-wide rollout of internal messaging platform.
Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in automation and cloud technologies.

Contact

dharamrajvadher@gmail.comLinkedIn

Skills

Core Skills

Software DevelopmentCloud ComputingIt Security & ComplianceSystem AdministrationBig Data

Other Skills

PythonNLPPyTorchScikit-learnCI/CDJenkinsGitHub ActionsREST APIsGoogle Zero-TouchTelemetryPrometheusGrafanaChrome EnterpriseBashNetwork Management

About

๐’๐จ๐Ÿ๐ญ๐ฐ๐š๐ซ๐ž and ๐’๐ฒ๐ฌ๐ญ๐ž๐ฆ๐ฌ ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซCurrently, at Meta Inc., I automated enterprise-wide ๐—š๐—ผ๐—ผ๐—ด๐—น๐—ฒ ๐—–๐—ต๐—ฟ๐—ผ๐—บ๐—ฒ package deployment across the global device fleet, eliminating manual release overhead and saving hundreds of thousands of dollars in engineering costs. I also led large-scale deployment of ๐—ฃ๐—ช๐—”๐˜€, mobile applications, and browser extensions across managed devices, improving application accessibility and standardizing configuration across the fleet. Beyond infrastructure automation, I contributed to an ๐—”๐—œ-driven user sentiment analysis initiative, leveraging telemetry and behavioral signals to improve device experience insights. I am also actively refactoring legacy internal engines and automation frameworks, enhancing code quality, maintainability, and system efficiency across the platform.Additionally, I built comprehensive fleet ๐—ฎ๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ and ๐˜๐—ฒ๐—น๐—ฒ๐—บ๐—ฒ๐˜๐—ฟ๐˜† dashboards to provide actionable insights into device health, compliance, and performance, enabling data-driven operational decisions. I automated ๐—ญ๐—ง๐—˜ device un-enrollment workflows, reducing manual intervention and minimizing operational friction in lifecycle management. A passionate pet lover with a strong affinity for animals. When I'm not near my laptop, then I am either experimenting with a new recipe in the kitchen or catching up on wrestling events.๐—Ÿ๐—ฒ๐˜โ€™๐˜€ ๐—ฐ๐—ผ๐—ป๐—ป๐—ฒ๐—ฐ๐˜! ๐ŸคFeel free to reach out at dharamrajvadher@gmail.com

Experience

11 mos
Total Experience
11 mos
Average Tenure
11 mos
Current Experience

Meta

System Engineer

Jul 2025 โ€“ Present ยท 11 mos ยท California, United States ยท Hybrid

  • Developed a real-time AI sentiment analysis tool (Python, NLP, PyTorch/Scikit-learn) to monitor large-scale telemetry (e.g. logs or messages) and flag anomalies. This enabled proactive issue detection, ~70% faster flagging and generated weekly reports on anomalies.
  • Automated package deployment to 100,000 Windows/ MacOS devices using a CI/CD pipeline (Jenkins/GitHub Actions, Bash), eliminating manual installs and reducing rollout time by ~80% (from days to hours).
  • Built an automated Google Zero-Touch device unenrollment process using REST APIs and Python automation, saving $96K/year in manual operations and streamlining device lifecycle management.
  • Refactored the Chrome policy-as-code engine: added policy deletion logic, optimized WiFi SSID policy pushes, and enforced schema validators to improve policy sync reliability by ~60%.
  • Led company-wide rollout of an internal messaging platform across all 150,000 devices, ensuring uninterrupted team communication during critical outages and achieving full adoption.
  • Enhanced device telemetry using distributed logging/monitoring (Prometheus, Grafana) by aggregating granular metrics (battery health, connectivity, performance), improving data accuracy and enabling proactive maintenance across the entire fleet.
  • Implemented enterprise Chrome browser customization with Meta branding and managed profiles via centralized device management policies (MDM/Chrome Enterprise), to improve user trust and consistency.
  • Implemented Anomaly Detection using z-score on time-series data for regression analysis, and provided responsibility-based detection with improvement in latency from 2 hours to 10 minutes
PythonNLPPyTorchScikit-learnCI/CDJenkins+9

University of houston-clear lake

Student Assistant at Office of Information Technology

Feb 2024 โ€“ May 2025 ยท 1 yr 3 mos ยท Houston, Texas, United States ยท On-site

  • Managed and maintained over 200+ campus-wide computers, ensuring consistent performance and minimal downtime across all systems.
  • Configured, and optimized BIOS settings across campus-wide computers, ensuring seamless hardware-software integration and improving overall system stability.
  • Installed and configured key software packages (Unity, Python, Java, MATLAB, Eclipse, R, SAS, etc.) to support students and faculty in research and coursework.
  • Implemented Group Policies to streamline system management and enhance security across over 200+ computers, reducing configuration time by 30% and improving network security compliance.
  • Contributed to software updates, network maintenance, and new technology initiatives, improving the efficiency of IT operations.
  • Provided technical support for 500+ students, assisting with software issues and troubleshooting complex IT challenges.
  • Conducted thorough testing of campus-wide equipment to ensure optimal performance for classroom and research activities.
Network ManagementSystem AdministrationIT Security & Compliance

Cloudfinity

Software Engineer

Feb 2021 โ€“ May 2023 ยท 2 yrs 3 mos ยท Ahmedabad, Gujarat, India ยท Hybrid

  • Migrated a traditional MapReduce job to Spark-based, enhancing performance by 80% and improving data efficiency.
  • Optimized ElasticSearch indices, contributing to faster data retrieval and better performance across large datasets.
  • Developed a partition management job for Hive and S3, implementing retention policies for external tables and reducing storage costs by 20%.
  • Led the migration of the CDH Hive data pipeline to GCP BigQuery, resulting in a 40% reduction in data processing time and streamlined data storage.
  • Implemented Object Data Models in the Java-based Kafka pipeline, improving code extensibility and system design.
  • Enhanced security for Postgres data warehouses by integrating self-managed certificates.
  • Designed and engineered an end-to-end streaming pipeline to transform Snowflake data using AWS S3, Async AWS Lambda, SQS, Snowpipe, and Kinesis Firehouse, reducing ETL processing time from 3 hours to 5 minutes (AWS).
JavaPythonSoftware DevelopmentBig Data

Education

University of Houston-Clear Lake

Master's degree โ€” Computer Software Engineering

Aug 2023 โ€“ May 2025

Gujarat Technological University (GTU)

Bachelor of Engineering - BE โ€” Computer Engineering

Aug 2020 โ€“ May 2023

Gujarat Technological University (GTU)

Diploma of Education โ€” Information Technology

Aug 2017 โ€“ May 2020

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