Featured Projects

A showcase of data engineering, machine learning, and cloud infrastructure projects

Data Engineering💼

Real-time ML Pipeline on AWS

Designed and deployed a scalable real-time machine learning pipeline using AWS Kinesis, Lambda, and SageMaker for fraud detection with sub-second latency.

Key Achievements

Processing 10K+ events per second

99.9% uptime with automated failover

40% cost reduction through optimization

Tech Stack

AWS KinesisLambdaSageMakerS3DynamoDB

Data Warehousing💼

Snowflake Data Warehouse Optimization

Built and optimized a multi-terabyte data warehouse in Snowflake, implementing advanced ELT patterns and improving query performance by 60%.

Key Achievements

60% faster query execution

Automated data quality checks

Reduced storage costs by 35%

Tech Stack

SnowflakePythondbtAirflow

Machine Learning💼

Biometric Fraud Detection System

Developed CNN-based deep learning models for fingerprint fraud detection achieving 95% accuracy on imbalanced datasets.

Key Achievements

95% detection accuracy

Handled class imbalance effectively

Production-ready deployment

Tech Stack

TensorFlowOpenCVPythonscikit-learn

Computer Vision💼

Pose Estimation Pipeline

Built end-to-end deep learning pipeline for real-time pose estimation and keypoint detection using state-of-the-art CNN architectures.

Key Achievements

Real-time inference at 30 FPS

Multi-person detection support

Optimized for edge devices

Tech Stack

PyTorchOpenCVPythonCUDA

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