<Developer/>

Alin Verma

Data Engineer

Building scalable data infrastructure for ML-powered futures

Data Engineer specializing in AWS cloud architecture, Snowflake data warehousing, and ML pipeline development. Passionate about transforming raw data into actionable intelligence through robust, scalable solutions.

View Experience
Browse Projects
Get In Touch
Scroll
<Experience Highlights/>

Recent Work

Data Mavericks

Data Engineer

Mar 2024 - Present

AWSSnowflakeKinesisLambda

UIDAI Technology Centre

Data Science Intern

May 2023 - July 2023

PythonTensorFlowOpenCVscikit-learn

Samsung Research Institute

Research Intern

Dec 2022 - Aug 2023

Deep LearningCNNPythonPose Estimation
View Full Experience
<Credentials/>

Certifications

Amazon Web Services

AWS Data Engineer - Associate

Amazon Web Services

2024-2027
View Certificate
Snowflake

SnowPro Advanced: Data Engineer

Snowflake

2025-2027
View Certificate
Snowflake

SnowPro Core Certified

Snowflake

2024-2026
View Certificate
<Featured Work/>

Key Projects

Real-time ML Pipeline on AWS

Data Engineering

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

✓Processing 10K+ events per second
✓99.9% uptime with automated failover
✓40% cost reduction through optimization
AWS KinesisLambdaSageMakerS3DynamoDB

Snowflake Data Warehouse Optimization

Data Warehousing

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

✓60% faster query execution
✓Automated data quality checks
✓Reduced storage costs by 35%
SnowflakePythondbtAirflow

Biometric Fraud Detection System

Machine Learning

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

✓95% detection accuracy
✓Handled class imbalance effectively
✓Production-ready deployment
TensorFlowOpenCVPythonscikit-learn

Pose Estimation Pipeline

Computer Vision

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

✓Real-time inference at 30 FPS
✓Multi-person detection support
✓Optimized for edge devices
PyTorchOpenCVPythonCUDA
Explore All Projects
<Tech Arsenal/>

Skills & Expertise

AWS

AWS

Cloud-based data and machine learning infrastructure design

  • ▸Model deployment support, scalable ingestion, and real-time processing
  • ▸Production monitoring, reliability, and cost-aware architecture
  • ▸Lambda, Kinesis, S3, Glue, API Gateway, EC2, RDS
Snowflake

Snowflake

Data warehousing and analytics for ML workloads

  • ▸ELT pipelines supporting feature engineering and experimentation
  • ▸Snowflake Cortex, AI Agents, and Snowflake Intelligence
  • ▸Performance optimization and cost management
AI/ML

AI/ML

Machine learning and deep learning expertise

  • ▸Text and image classification with CNN architectures
  • ▸Data preprocessing, feature engineering, and handling imbalanced datasets
  • ▸TensorFlow, scikit-learn, OpenCV, PyTorch
Data Engineering

Data Engineering

Building robust data infrastructure

  • ▸ETL/ELT pipeline design and optimization
  • ▸Real-time and batch processing systems
  • ▸Python, SQL, Apache Spark, Airflow

Technologies I Work With

PythonSQLAWS LambdaAWS KinesisS3GlueAPI GatewaySnowflakeTensorFlowPyTorchscikit-learnOpenCVDockerGitApache SparkAirflowEC2RDSDynamoDBCloudFormationCNNDeep LearningETL/ELT