"The best way to predict the future is to invent it."
— Alan Kay
I'm a Master's student in Computer Science at Rutgers University with a passion for the intersection of data engineering, AI, and cloud computing. I believe in building clean, reproducible, and scalable solutions not just models that work, but systems that last.
class PujaSridhar:
def __init__(self):
self.role = "Data Engineer & AI Developer"
self.education = "MS Computer Science @ Rutgers University"
self.currently_learning = ["Apache Iceberg", "Modern Data Lakehouse", "Agentic AI"]
self.interests = ["Data Engineering", "MLOps", "Cloud Architecture", "AI Ethics"]
def get_current_focus(self):
return {
"🎯": "Building production-ready ML systems",
"☁️": "Designing serverless architectures on AWS",
"🧊": "Exploring modern data lakehouse patterns",
"🤖": "Experimenting with RAG and LLM applications"
}Personalized Wellness Engine: Crafting synergistic nutrition and fitness plans using ML and knowledge graphs. Leveraging Python, ML models, graph databases, and LLMs to create intelligent health recommendations.
Serverless Data Applications: Building real-time data apps with AWS Lambda, DynamoDB, and Kendra. Using CloudFormation for infrastructure as code to deploy scalable serverless architectures.
Modern Data Lakehouse: Exploring Apache Spark, Apache Iceberg, and MinIO for hybrid analytics architecture. Implementing modern data lakehouse patterns for efficient data management and analytics.
ML Research Projects: Developing models for fraud detection, computer vision, and multilingual misinformation detection. Using TensorFlow, PyTorch, and Transformers to build robust AI systems.
 Python |
 R |
 MATLAB |
 SQL |
 PostgreSQL |
 MongoDB |
 Redis |
 AWS |
 Docker |
 TensorFlow |
 PyTorch |
 Tableau |
 OpenAI |
 Databricks |
 Spark |
 Iceberg |
 Snowflake |
 MinIO |
 VS Code |
 Linux |
 Git |
education:
current: "MS Computer Science @ Rutgers University (3.8/4.0)"
bachelor: "BE in AI & ML @ BMSIT&M, India (8.64/10.0)"
experience:
- role: "AI Engineering Intern @ Pennant Education"
focus: "Agentic RPA with UiPath, IBM Watson AI systems"
- role: "Graduate Teaching Assistant @ Rutgers"
courses: ["Intro to AI", "Object-Oriented Programming", "Data Management"]
impact: "Mentoring 150+ students weekly"
certifications:
- "Databricks Generative AI Fundamentals"
- "Databricks Fundamentals"
- "Oracle Cloud Infrastructure Foundations"
- "DeepLearning.AI - AI for Everyone"| Project | Description | Tech Stack |
|---|---|---|
| Smart Document Finder | Intelligent semantic search using vector databases & LLMs for natural language document retrieval | Vector DBs, LLMs, RAG, Python |
| Multilingual Health Misinformation Detection | Transformer-based NLP model identifying health misinformation across multiple languages | Transformers, NLP, PyTorch, BERT |
| ML Profit Prediction Pipeline | End-to-end ML pipeline achieving 96.04% accuracy with interactive Tableau dashboards | Random Forest, Tableau, Python, scikit-learn |
I'm always excited to discuss data engineering, AI systems, MLOps, or open-source collaboration. Whether you're building something innovative or want to exchange ideas about intelligent systems, let's connect!
