🚀 I'm a recent Master's graduate in Electrical and Computer Engineering from NC State University, with a 3.93 GPA and a specialization in Machine Learning, Computer Vision, and Full-Stack Development.

👨‍💻 I previously worked as a Senior Software Engineer at Infosys, building scalable backend services and microservices for enterprise telecom platforms. I'm currently exploring AI/ML, Generative AI, and cloud-native full-stack projects.

🌐 Portfolio: virajsanap.github.io
🔗 LinkedIn: linkedin.com/in/virajsanap14

📫 Reach out: [email protected]

• Ag Analytics @ NC State
  Migrated soybean yield forecast app to a React + Flask stack, integrated region-specific ML models, and deployed on AWS Lightsail (used by 100+ NC farmers).

• Active Sensing Robotics Lab @ NC State
  Explored 3D plant reconstruction using NeRF, implemented Generative AI for anomaly detection in blueberries.

• Infosys Ltd.
  Developed scalable Spring Boot microservices for T-Mobile, optimized multithreaded processing, deployed on AWS with CI/CD.

Trained YOLOv8 on synthetic crop data (AWS SageMaker), improved mAP by 18%, deployed with CI/CD and S3 integration.

Built a FastAPI+React app using Gemini LLM & vector search for detecting malicious content in user inputs.

Fine-tuned TinyLLaMA (1.1B) on MedQuAD with LoRA, improving BLEU by 53% and BERTScore to 0.90.

Migrated a research prototype to a full-stack web app using Flask + React, hosting it on AWS Lightsail. Integrated region-specific ML models to recommend optimal planting dates and boost yields for 100+ NC farmers.

Languages: Python, Java, C++, JavaScript, SQL, R
Frameworks: PyTorch, Flask, FastAPI, React, Spring Boot, Ruby on Rails
Tools: Docker, Kubernetes, Git, CI/CD, MLflow, Tableau, MongoDB
Cloud: AWS (S3, EC2, SageMaker, Lightsail), Azure
Certifications: AWS Cloud Practitioner | Microsoft Azure Fundamentals