About Me
Platform-focused engineer with hands-on experience with Automation and Observability, building scalable infrastructure and development tools. Skilled in automation, observability, and distributed systems, with a strong drive to solve reliability and performance challenges in data workflows and migration scripts.
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Education
Master of Computer Science
University of Texas at Arlington
Jan 2021 - Dec 2022
Courses: Computer Architecture, Software Engineering Management, Data Structures, Database Systems, Theory of Computation, Introduction to Analytics
Bachelor of Computer Science
Amity University
Aug 2016 - Aug 2020
Courses: Secure Programming, Cloud Computing, Advanced Image Processing, Distributed Systems, Compiler Construction
Work Experience
Software Engineer 3
Walmart Global Tech
Feb 2023 - Present
Dallas, TX
- Spearheaded real-time, event-driven data workflows for a fraud detection platform using Kafka, MySQL, Java, and Spring helping save $9M across 600 stores.
- Leading a team-wide initiative to implement the observability of the Golden signal using Grafana and Prometheus in all applications, improving incident response and reducing mean detection time (MTTD) by 20%.
- Automated CI/CD pipelines across microservices Docker, Kubernetes, Python, incorporating functional and performance testing JMeter, Concord, Automaton to reduce the deployment time by 9%.
- Designed a monthly data migration script using Python, Spark, Pandas on Databricks to automate data migration and transformation (1GB monthly), improving data consistency, and reducing manual effort by 11%.
Software Engineer Intern
Sam's Club
May 2022 - Aug 2022
Dallas, TX
- Developed scalable data automation scripts in Python, Pandas and Spark to support event-driven audit processes and streamline merchandise management for 600+ club managers.
- Integrated TensorFlow models within the microservice architecture to streamline and enhance audit decision making processes during retail events, improving verification precision 72%.
Projects
Investment Tracker
Designed modular infrastructure to support real-time inference and financial performance summaries. Simulated monitoring dashboard behaviors using portfolio metrics — paralleling infrastructure observability and real-time signal tracking.
Tech Stack: Python (data ingestion, transformation), Yfinance/GraphQL API (financial data), Kafka (simulate streaming), Airflow/Prefect (ETL scheduling), SQL/PostgreSQL (data storage), Grafana (dashboard + alerting)
AI Infrastructure as Code
Infrastructure automation and deployment pipeline for AI/ML workloads using modern DevOps practices and cloud-native technologies.
Tech Stack: Docker, Terraform, Python
EDA Tool & H1B Data Analysis
Developed an automated EDA tool and applied it to analyze H1B visa data patterns, trends, and insights. Created interactive visualizations and dashboards for comprehensive data exploration and reporting.
Tech Stack: Streamlit, Python, Pandas, Plotly
Machine Code Generator
Two-phase compilation system: an assembler to generate machine code output and an execution engine to load and process machine instructions in memory. Demonstrates low-level programming concepts and system architecture.
Tech Stack: C/C++, Assembly, System Programming
Technical Skills & Technologies
I specialize in building scalable, data-driven applications and infrastructure. Here are the key technologies I work with:
Core Languages
Frameworks & Libraries
Development Tools
Cloud & Infrastructure
Get In Touch
I'm always interested in new opportunities and collaborations. Feel free to reach out!