Sanjay B | AI Builder | AI Deploy Network

About Sanjay

I am a B.Tech graduate in Artificial Intelligence and Machine Learning with practical experience in Python, Java, machine learning and software development.

I have worked on projects involving computer vision, Android application development and machine learning-based financial fraud detection.

I am interested in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI and intelligent automation.

I enjoy building practical AI solutions, solving real-world problems and continuously improving my technical skills.

Professional profile

Location: bengaluru, India
Time zone: Asia/Calcutta
Work mode: Remote
Availability: Available Now
AI experience: 0+ years
Industry experience: 1+ years
Working hours: 09:00-18:00 IST, MON-FRI
Typical response: Within 24 hours
Travel: No travel

Proven on the network

Implementation records and publicly available work, where published.

1 AI Deployment delivered, including 1 publicly identified implementation available to inspect.

What Sanjay builds

Implementation domains listed on this profile. Evidence-supported items are identified separately below.

Specialisations

AI Analytics

AI Application Development

Machine Learning

Builder-listed deployment types

AI Analytics
AI Evaluation Framework

AI Deployments

Real AI implementations demonstrated through evidence.

01 / AI DeploymentPublished record

Machine Learning-Based Fraud Detection System

A Python-based machine learning project focused on analysing financial transaction data, identifying potentially fraudulent patterns, and evaluating classification models using standard machine learning metrics.

Data & Analytics · AI Analytics · AI Evaluation Framework

View Deployment

Implementation capabilities

Evidence-supported means linked to a published Deployment or Case Study; other capabilities are Builder declared.

Evidence-supported

AI Analytics1 record
AI Evaluation Framework1 record

Builder declared

AI Application Development
Machine Learning

Technology

Technologies listed by the Builder, distinguished by published evidence.

Evidence-supported

No published evidence linked yet.

Builder declared

Java
JavaScript
Kotlin
Python
SQL

Industry experience

Published Deployments support the listed counts. Other industries are Builder declared.

Data & Analytics

1 published Deployment

Cloud & Infrastructure Providers

Builder declared

IT Services & Systems Integration

Builder declared

Software & SaaS

Builder declared

Trust & verification

A closer look at how this profile and its evidence are reviewed.

Community Member

Published evidence is reviewed against the AI Deploy Network Evidence Standard.

How verification works

Community

Verified Builder

Independently reviewed by AI Deploy Labs against the platform Evidence Standard.

How this is verifiedWhat the platform has established, and what remains builder-declared.

Identity and organisation: Identity checks confirm that the person presenting this profile controls the account and the professional identifiers attached to it, such as a LinkedIn profile. Organisation membership is confirmed by the organisation, not self-declared by the builder.
AI Deployments: An approved AI Deployment is an implementation record the builder submitted and the platform reviewed against the Evidence Standard before publication. Approval confirms the record is complete, coherent and consistent with the supporting material provided — it is not an audit of the client's systems.
Business outcomes: Outcome figures are recorded by the builder on the deployment or case study that produced them, and are reviewed at publication. Aggregates shown on this profile are calculated from those approved records only.
Evidence: Supporting evidence comes from the records the builder published on this platform: approved AI Deployments, published AI Case Studies, verification outcomes and organisation participation.
Currency: Older evidence continues to count and is never removed. Recency is presented separately through Professional Currency so that current expertise can be assessed alongside historical work.
Traceability: Every figure on this profile can be followed to the record that produced it. Open the linked AI Deployment or AI Case Study to read the outcome exactly as it was reported.

The platform does not independently audit client systems or financial records. How this is verified

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