My Expertise

As a Full-Stack Data Engineer specializing in AI-driven solutions, I combine deep technical skills with production-grade system design. Here's my verified capabilities:

$ skills --list --verified

Core Engineering Capabilities

Data Infrastructure

$ cat data_infra/README.md

- Pipeline Architecture
▸ ETL/ELT Optimization (40% efficiency gains)
▸ Real-time streaming with Kafka/Spark
▸ Dockerized deployment patterns

• Cloud Data Systems
  ▸ AWS Redshift/Glue implementations
  ▸ GCP BigQuery data warehousing
  ▸ Azure Synapse analytics pipelines

AI Engineering

$ cat ai_engineering/README.md

- Generative AI Systems
▸ GPT-4/3.5 Fine-tuning
▸ RAG Architectures with LangChain
▸ Vector DB integration (Pinecone/Weaviate)

• Production ML
  ▸ FastAPI model serving
  ▸ Kubernetes orchestration
  ▸ CI/CD for ML pipelines

Verified Technical Stack

$ stack --list --production

Core Languages

['Python', 'SQL', 'Bash', 'JavaScript']

Frameworks & Tools

# Backend
FastAPI | Flask | Django | REST

# Data
PySpark | Pandas | Dask | Airflow

# AI/ML
LangChain | LlamaIndex | HuggingFace | Rasa

# DevOps
Docker | Jenkins | Terraform | Grafana

Cloud Specialization

$ cloud --expertise

▸ AWS
- EC2/EBS cost-optimized deployments
- Lambda serverless architectures
- S3 data lake implementations

▸ Hybrid
- Multi-cloud data orchestration
- Security/compliance configurations
- Infrastructure-as-Code patterns

Client-Validated Skills

$ certifications --verified

▸ Google Data Analytics Professional
▸ IBM AI Applications with Python
▸ UiPath Automation Developer

Production Validation

"Optimized our AWS data pipeline costs by 35% while improving throughput"

Fintech Client - via Fiverr Delivery

"Implemented GDPR automation that reduced compliance errors by 90%"

Healthcare Client - Project Retrospective

View Quantified Results | Full Technical Breakdown | Contact