**Akanksha Tomar**
Arlington, TX 76013
804-637-5387 | akankshatomar01@gmail.com
linkedin.com/in/tomarakanksha | github.com/tomarakanksha

### **Education**
**University of Texas at Arlington, Arlington TX**
Aug 2022 - May 2024
Master of Science, Computer Science | GPA: 4.0/4.0
- Teaching Assistant: Distributed Systems (Fall 23), Software Project Management (Spring 24)

**Uttar Pradesh Technical University, India**
Jul 2015 - Jun 2019
Bachelor of Technology, Computer Science and Engineering

### **Technical Skills**
**Languages:** C, C#, Java, Python, SQL, HTML, CSS, JavaScript
**Database:** SQL Server, PostgreSQL, MongoDB (NoSQL)
**Tools & Technologies:** React, Kafka, Airflow, Hadoop, Docker, Kubernetes, Git, Jenkins, ETL (Spark, SSIS), Logstash, Grafana, Prometheus, ServiceNow
**Frameworks & Methodologies:** Spring Boot, .NET, Scrum, Agile, Unit Testing, MVC, OOP

### **Experience**
**Software Engineer Intern** | UrgentCare2Go, Keller, TX | Jun 2023 - Jul 2023
- Enhanced healthcare WebApp using C#, JavaScript, HTML5, and SQL.
- Developed a .NET-based CSV file processor with CsvHelper for SFTP data ingestion into SQL Server.
- Implemented lazy loading and browser caching, reducing page load times by 30%.

**Senior Software Engineer** | UnitedHealth Group (Optum), India | Mar 2022 - Aug 2022
**Software Engineer** | Jul 2019 - Feb 2022
- Designed REST APIs in .NET Core microservices and built Grafana/Prometheus dashboards for monitoring.
- Migrated legacy apps to Azure, improving scalability and performance.
- Automated 50+ jobs using Apache Airflow and modernized batch to stream processing with Kafka (40% fewer failures).
- Mentored junior developers on Agile, cloud architecture, and CI/CD best practices.

### **Projects**
**School Web Application**
- Full-stack app with React, C#/.NET API, SQL Server, JWT auth, hosted on cloud VM with Nginx/TLS.

**Movie Sentiment Analysis**
- LSTM model with K-Fold validation for sentiment analysis (98% accuracy).

**QueryCraft-API**
- API using OpenAI’s LLM to answer queries based on vector DB data.

**Map/Reduce on IMDB Dataset (Hadoop)**
- Identified actor-directors using MapReduce with 3 mappers and 1 reducer.

**Vendor Hold Checkr**
- Python script to scrape vendor data for pending transactions, saving to Excel.

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