class UrviDesai:
def __init__(self):
self.name = "Urvi Desai"
self.role = "MS Computer Science @ Rutgers"
self.location = "New Jersey, USA"
self.gpa = {"masters": 3.8, "bachelors": 9.33}
def skills(self):
return ["ML/AI", "Full Stack", "IoT", "Data Analysis"]
def currently_learning(self):
return ["Advanced Deep Learning", "ExplainableAI"]- 🎓 MS in Computer Science at Rutgers University (2025-2027)
- 💼 Former Lead Engineer at Seriate Innovations, IIT Bombay
- 🏆 B.Tech from MIT WPU with 9.33/10 GPA
- 🔬 Published researcher in Digital Twins, NLP, and Sports Analytics
- ⚡ Passionate about building systems that solve real-world problems
| Role | Company | Duration |
|---|---|---|
| 🚀 Lead Engineer - IoT, ML & Web | Seriate Innovations, IIT Bombay | Aug 2024 - Apr 2025 |
| 💻 Software Associate (Intern) | Capgemini India | Jun 2023 - Dec 2023 |
🔍 Click to see details
Seriate Innovations, IIT Bombay
- Led a team of Computer and Electronics Engineers
- Designed scalable distributed IoT solutions (Raspberry Pi, ESP32)
- Built real-time data pipelines using MQTT and InfluxDB
- Developed ML models and Angular web applications
Capgemini India
- Built RESTful APIs with Flask and MongoDB
- Implemented real-time systems with WebSockets
- Developed Angular frontends with data visualization
|
Robot navigates a grid with imperfect sensors using Partially Observable MDPs. Implements A* search, Bayesian belief updates, and a neural network trained to predict optimal actions from belief states. |
Personalized movie recommendations using PageRank on a user-movie bipartite graph. Random walks with restart compute relevance scores, capturing multi-hop relationships beyond simple collaborative filtering. |
|
CNN architecture for melanoma classification achieving highest accuracy on the dataset |
ML model using genetic data and biomarkers for disease classification |
|
Real-time object tracking system to detect wrong-way vehicles and raise alarms |
Live monitoring and simulations for subsea lab components |
| 📄 Title | 🏷️ Topics |
|---|---|
| Developing a Digital Twin of the Subsea System | Digital Twin Regression Flask Blender |
| NLP for Identification of Cognitive Impairment | BERT NLTK Sentiment Analysis |
| Advancements in Football Analytics: Optimizing xG | Data Generation Regression Visualization |
| Smart Agriculture – Soil Temperature Forecasting | Data Analysis Weather Data Regression |
