Ramesh Anandh | AWS Cloud & Data Engineer

About Me

This portfolio highlights expertise in AI, particularly in machine learning and generative AI, with experience in vector databases like Qdrant and Weaviate. Proficiency in computer vision, specifically face recognition using OpenCV, and deep learning techniques such as CNNs is also noted. The candidate has strong skills in data engineering, including ETL processes and data pipelines using tools like Snowflake and AWS services such as EC2, S3, and RDS. They are skilled in monitoring with CloudWatch and data visualization with QuickSight. Projects include Flask-based applications for fitness, farm management, and farm selection. Certifications include a Generative AI Professional Certificate from Snowflake and AWS Cloud Practitioner and Generative AI Practitioner badges. Relevant courses cover databases, SQL, generative AI, and deep learning with Python.

Core Skills

AI( Machine Learning, Gen AI ; Agentic AI)

RAG - Retrieval-Augmented Generation

Vector Databases(Qdrant, Weaviate )

OpenCV - For Face Recognition( Haar Cascade Classifier)

Deep Learning : CNN

Snowflake( Data Engineering, Cortex LLM, ML, Agentic AI)

AWS (EC2, S3, Lambda, CloudFront, IAM, RDS, AWS Glue, DynamoDB)

Data Engineering (ETL, Data Pipelines, Airflow)

Database Performance tuning

Python & SQL

Monitoring: CloudWatch & QuickSight

Key Projects

ARS Fitness

Fitness and wellness platform with comprehensive health tracking features

Flask, API

Demo

ARS Farms

Agricultural management system for farm operations and crop monitoring

Flask

Demo

Achievements & Badges

🏅 Generative AI Professional Certificate by Snowflake — Snowflake (2026-03)

🏅 AWS Cloud Quest: Generative AI Practitioner - Training Badge — Credly (2025-10)

🏅 AWS Cloud Quest: Cloud Practitioner - Training Badge — Credly (2025-10)

🏅 Master Retrieval-Augmented Generation (RAG) — LinkedIn (2026-03)

Get in Touch

📧 Email: rameshdev55@gmail.com
🔗 LinkedIn: linkedin.com/in/rameshanandh
☁️ GitHub: github.com/RameshAnandh