You will get Working AI integrations, RAG pipelines, agent architectures,reliable sytems
Project details
I bring 15+ years of hands-on experience building and scaling data platforms that operate under real pressure: 2M+ payment and healthcare transactions per day, 30M+ adtech events per day, across fintech, healthcare, adtech, and SaaS.
I don't just design architectures on whiteboards. I build them, ship them, and make them reliable in production. From raw ingestion (Kafka, Debezium, Fivetran) through Spark/Flink processing, Bronze/Silver/Gold lakehouse layers (Delta Lake, Iceberg on S3/ADLS), governed warehouses, and AI/LLM pipelines with RAG and vector stores.
What sets this engagement apart: every recommendation I make is grounded in having actually operated these systems at scale, in regulated environments, where data quality, lineage, and compliance are not optional. You get senior-level judgment on architecture tradeoffs, not just execution.
Available for focused data engineering work, full platform builds, or AI/data advisory engagements.
I don't just design architectures on whiteboards. I build them, ship them, and make them reliable in production. From raw ingestion (Kafka, Debezium, Fivetran) through Spark/Flink processing, Bronze/Silver/Gold lakehouse layers (Delta Lake, Iceberg on S3/ADLS), governed warehouses, and AI/LLM pipelines with RAG and vector stores.
What sets this engagement apart: every recommendation I make is grounded in having actually operated these systems at scale, in regulated environments, where data quality, lineage, and compliance are not optional. You get senior-level judgment on architecture tradeoffs, not just execution.
Available for focused data engineering work, full platform builds, or AI/data advisory engagements.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Amazon SageMaker, Azure Machine Learning, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$2,000
|
Advanced
$4,000
|
|---|---|---|---|
| Delivery Time | 7 days | 20 days | 40 days |
Number of Revisions | 2 | 3 | 3 |
AI Model Integration | - | ||
Detailed Code Comments | |||
Knowledge Graph | - | - | - |
Model Documentation | - | ||
Ontology | - | - | |
Source Code | |||
Taxonomy | - | - |
About Shipra
Data Extraction/ETL | Big Data, Data Warehousing & ETL Software, ETL
Boulder, United States - 3:35 pm local time
Steps for completing your project
After purchasing the project, send requirements so Shipra can start the project.
Delivery time starts when Shipra receives requirements from you.
Shipra works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Requirements
Understand the client's data sources, volume, use cases, existing stack, and business goals. Define scope, success metrics, and constraints (compliance, latency, budget).