Full Stack Software Engineer | MS in Computer Science @ New York University | Oracle Certified Java Developer
I specialize in building robust applications and scalable cloud solutions. Currently focused on AI integration in Distributed Systems.
Languages: 
AI & ML: 
Frameworks: 
Cloud & Infra: 
NYC Traffic Collison Prediction | Real time Distributed Data Pipeline & Predictive Analytics Platform
- Scalable Data Ingestion: Designed a high velocity Apache Kafka producer-consumer pipeline to ingest live NYC Open Data API streams and implementing custom watermarking and retry logic for zero loss data integrity.
- Distributed ML Processing: Leveraged Dask for distributed data handling and Scikit-learn to build a predictive model mapping collision likelihood. Utilized Ball Trees for high performance geo-spatial coordinate mapping across massive datasets.
- Optimized Architecture: Managed stateful data storage with MongoDB and utilizing geographical indexing to achieve sub second query latency for live traffic speed lookups.
Deepfake Detection System | AI Security Platform for Multimedia Deepfake Detection
- Hybrid Deep Learning Engine: Architected a detection suite leveraging both PyTorch and TensorFlow to perform real time analysis of image, audio, and video streams with high confidence scoring metric.
- Cloud Deployment: Engineered and deployed the full stack application on AWS ensuring high availability for compute intensive computer vision and processing tasks.
- Secure API Architecture: Designed RESTful APIs with JWT based authentication implementing secure user workflows to maintain data privacy and individual user sessions.
