Tejnath
Tummala

Software Engineer // MS Computer Science

George Mason University · Fairfax, VA · Aug 2025 – May 2027

PythonC / C++ / C# JavaJavaScript React.jsTensorFlow DockerAzure
./view-projects.sh $ contact --info
90%AI model accuracy
70%defect reduction
80%incidents resolved
10+features / sprint
$

cat experience.log

Data Marshall
Software Intern
// Hyderabad, India
Sep 2024 – Jul 2025
  • Developed high-performance C# solutions in MVC architecture for a .NET application, reducing defects by 70%.
  • Automated medical data fetching and file analysis, decreasing processing time from 8 hours → 3 hours.
  • Increased AI model accuracy from 50% to 90% by refining algorithms and optimizing execution speed.
  • Engineered performance dashboards using tuned SQL queries on RAM-based databases (10K–100K data points), delivering real-time insights to concurrent users.
  • Collaborated in agile team, delivering 10 features per sprint through requirement clarification, feature development, and code reviews.
  • Resolved production issues reducing downtime by 20% and recurring incidents by 80%.
C#.NET / MVCSQL AI/MLAgile/ScrumCI/CD
$

ls ./projects

// project_01

Sentiment Analysis with BERT

Developed and deployed a sentiment analysis web app using BERT and Transformers. Trained on 10,000+ Amazon reviews with fine-tuned hyperparameters for accurate sentiment classification.

89% accuracy in sentiment prediction
  • Fine-tuned BERT on Amazon reviews dataset with optimized hyperparameters
  • Analyzed 10,000+ reviews with sub-second inference on Streamlit app
BERTTransformersPyTorch NumPyPandasStreamlit
// project_02

Gesture-Controlled Car

Engineered a gesture-controlled car with Arduino, MPU-6050 accelerometer, RF modules, and Bluetooth achieving near-perfect recognition over a 10-meter range.

1ms latency · 100% gesture accuracy · 10m range
  • Integrated MPU-6050 for real-time gesture capture with RF module for 10m range
  • Refined recognition algorithm achieving 1ms latency with full accuracy
ArduinoMPU-6050RF Modules BluetoothEmbedded C
// project_03

AI Interview Evaluation Platform

Designed an AI-powered web app using Perplexity AI, NLP, and computer vision to evaluate interview performance with measurably improved accuracy.

80% improved eval accuracy · 4.5/5 user satisfaction
  • Integrated Perplexity AI with NLP and computer vision for multi-modal analysis
  • Achieved 4.5/5 satisfaction rating from user testing
Perplexity AINLP Computer VisionPython
$

cat skills.json

languages
Programming Languages
PythonCC++C#JavaJavaScript
frameworks
Web & Backend
React.jsNode.jsExpress.jsFlaskREST APIs.NET / MVC
ai / ml
ML & Data
TensorFlowKerasScikit-LearnTransformersNumPyPandasMatplotlib
cloud & devops
Infrastructure
Microsoft AzureAWSDockerCI/CDLinux/UnixGit
databases
Data Storage
MongoDBMySQLSQL (RAM-based)
tools & process
Dev Environment
Agile/ScrumPostmanVS CodeEclipseJupyter
$

cat education.txt

Master of Science in Computer Science
George Mason University
Aug 2025 – May 2027 // Fairfax, VA
$ ls ./coursework
Mathematical Foundations of CSAnalysis of Algorithms Computer SystemsSystems Programming
$

cat leadership.log

$ role_01 →
Graduate Representative
GAPSA · George Mason University
Represented and advocated for 100+ CS master's students. Proposed recommendations to university administration including a free snack pantry initiative, targeting 90% student satisfaction.
$ role_02 →
Student Supervisor
University Dining Services · GMU
Promoted to supervisor based on performance. Coordinated a team of 17 student employees. Achieved 4/5 from parent company inspection and 90% compliance rate on health & safety standards.
$ role_03 →
Volunteer
Pratham Gala 2025 · Pratham USA
Managed guest registration and check-in for 200+ attendees at a major fundraising gala, maintaining efficient event flow and a professional guest experience.
$

./impact --metrics

⚡

AI Performance

AI model accuracy boosted from 50% to 90%
89% accuracy on BERT sentiment classifier
80% improvement on interview eval platform
🔧

System Reliability

70% defect reduction in .NET application
20% reduction in production downtime
80% reduction in recurring incidents
⏱

Processing Speed

Medical data processing: 8 hrs → 3 hrs
1ms latency on gesture recognition system
Real-time dashboards on 10K–100K data points
🤝

Team & Delivery

10 features delivered per sprint
Supervised team of 17 student employees
Represented 100+ graduate CS students
$

cat recommendations.md

RD
Ravi Dugar
Project Manager @ Datamarshall
// Ravi was Tejnath's mentor · July 23, 2025
LinkedIn
" Tejnath is a highly skilled and results-oriented developer. He possesses a deep understanding of SQL and database design, as evidenced by his significant contributions to optimizing PMC Autocodes accuracy. Beyond technical proficiency, he is a highly effective communicator, able to clearly articulate complex technical concepts to both technical and non-technical audiences. He approaches every task with enthusiasm and a can-do attitude. His work ethic, problem-solving abilities, and dedication to excellence make him a valuable asset to any team. "
SQL & Database Design Communication Problem-Solving Work Ethic
$

contact --info

✉
emailtummalatejnath@gmail.com
 ☎
phone571-363-6727
◎
locationFairfax, VA
↓
resumecat TejnathTummala_Resume.pdf
$ cat about_me.txt

Currently pursuing an MS in Computer Science at George Mason University. I'm actively looking for internships, co-ops, and full-time roles in software engineering and AI/ML starting Summer/Fall 2026.

I bring hands-on industry experience from Data Marshall where I improved AI model accuracy by 40 percentage points, automated medical data workflows, and shipped production features in an agile team.

$ ls ./interests
Machine LearningSystems Programming Full Stack DevEmbedded Systems Cloud Infrastructure