Production-Ready AI/ML MVPVJ Sojitra
Turn one defined AI or machine-learning use case into a tested MVP, API, evaluation package, and deployment blueprint.
I will turn one defined AI or machine-learning use case into a tested, production-oriented MVP.
The engagement covers use-case definition, data assessment, preprocessing, baseline development, model or AI-application implementation, evaluation, API packaging, and deployment planning. Depending on the problem, the solution may use predictive modeling, statistical learning, NLP, retrieval-augmented generation, or a focused AI application.
You will receive reproducible source code, documented assumptions, evaluation results, a packaged API or internal application, and a deployment blueprint. The system will include clear acceptance criteria, failure conditions, and recommendations for production hardening.
This service is designed to establish technical feasibility and deliver a credible implementation, not promise a complete enterprise platform within a six-week MVP engagement.
What is included
Technical discovery and use-case definition
Assessment of one primary dataset or data source
Data preparation and validation pipeline
Baseline approach for comparison
One selected model or AI application
Reproducible training or execution workflow
Evaluation against agreed success criteria
FastAPI endpoint or lightweight internal interface
Configuration and environment templates
Logging and basic error handling
Deployment architecture and production-hardening roadmap
Source code and technical documentation
Final demonstration and handoff
Two structured feedback rounds
Client requirements
The client must provide:
One prioritized AI/ML use case
Representative and legally usable data
Definitions for the target outcome
Subject-matter expert availability
Required cloud or system access
Feedback at weekly review points
Not included
Large-scale data labeling
Multiple independent models or use cases
Full customer-facing application development
Guaranteed model-accuracy percentage
Continuous production hosting or 24/7 support
Enterprise security or compliance certification
Cloud, data, model or third-party API charges
Six-week delivery plan
Week 1: Requirements, data assessment and success criteria
Week 2: Data preparation and baseline
Weeks 3–4: Model or AI application development
Week 5: Evaluation, API packaging and failure testing
Week 6: Revisions, deployment blueprint, documentation and handoff
VJ's other services
Starting at$7,500
Duration6 weeks
Tags
AWS
FastAPI
Python
PyTorch
Data Engineer
Data Scientist
Machine Learning
Azure Databricks
MLOps
Service provided by
VJ Sojitra Columbus, USA
Production-Ready AI/ML MVPVJ Sojitra
Starting at$7,500
Duration6 weeks
Tags
AWS
FastAPI
Python
PyTorch
Data Engineer
Data Scientist
Machine Learning
Azure Databricks
MLOps
Turn one defined AI or machine-learning use case into a tested MVP, API, evaluation package, and deployment blueprint.
I will turn one defined AI or machine-learning use case into a tested, production-oriented MVP.
The engagement covers use-case definition, data assessment, preprocessing, baseline development, model or AI-application implementation, evaluation, API packaging, and deployment planning. Depending on the problem, the solution may use predictive modeling, statistical learning, NLP, retrieval-augmented generation, or a focused AI application.
You will receive reproducible source code, documented assumptions, evaluation results, a packaged API or internal application, and a deployment blueprint. The system will include clear acceptance criteria, failure conditions, and recommendations for production hardening.
This service is designed to establish technical feasibility and deliver a credible implementation, not promise a complete enterprise platform within a six-week MVP engagement.
What is included
Technical discovery and use-case definition
Assessment of one primary dataset or data source
Data preparation and validation pipeline
Baseline approach for comparison
One selected model or AI application
Reproducible training or execution workflow
Evaluation against agreed success criteria
FastAPI endpoint or lightweight internal interface
Configuration and environment templates
Logging and basic error handling
Deployment architecture and production-hardening roadmap
Source code and technical documentation
Final demonstration and handoff
Two structured feedback rounds
Client requirements
The client must provide:
One prioritized AI/ML use case
Representative and legally usable data
Definitions for the target outcome
Subject-matter expert availability
Required cloud or system access
Feedback at weekly review points
Not included
Large-scale data labeling
Multiple independent models or use cases
Full customer-facing application development
Guaranteed model-accuracy percentage
Continuous production hosting or 24/7 support
Enterprise security or compliance certification
Cloud, data, model or third-party API charges
Six-week delivery plan
Week 1: Requirements, data assessment and success criteria
Week 2: Data preparation and baseline
Weeks 3–4: Model or AI application development
Week 5: Evaluation, API packaging and failure testing
Week 6: Revisions, deployment blueprint, documentation and handoff
VJ's other services
$7,500