Pravesh Sharma | AI Builder | AI Deploy Network

About Pravesh

I’m a Computer Engineering student and AI/software builder focused on Python, machine learning, backend development, and practical AI applications. I build projects using Python, FastAPI, React, PostgreSQL, Docker, OpenCV, and ML tools.

My projects include SentinelX, an AI digital safety firewall, Panopticon, an AI exam proctoring system, and CinePilot, an AI production workflow platform. I enjoy turning ideas into working software, solving technical problems, and learning through hands-on projects and hackathons.

Professional profile

Location: Ahmedabad, India
Time zone: Asia/Calcutta
Work mode: Remote
Availability: Available Now
AI experience: 1+ years
Industry experience: 0+ years
Languages: Hindi, Gujarati, English
Working hours: Monday–Friday: 1:30 PM–7:30 PM GMT
Typical response: Within 24 hours
Preferred engagement: Small (individual or single team)
Travel: No travel
Available in: India

Proven on the network

Implementation records and publicly available work, where published.

2 AI Deployments delivered, including 2 publicly identified implementations available to inspect.

What Pravesh builds

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

Specialisations

AI Agents

AI Copilots

AI Evaluation & Testing

Computer Vision

Multimodal AI

Builder-listed deployment types

AI Agent
AI Evaluation Framework
Computer Vision
Workflow Automation

AI Deployments

Real AI implementations demonstrated through evidence.

01 / AI DeploymentPublished record

Project Panopticon — AI-Powered Exam Proctoring & Risk Analysis System

Panopticon is an AI-powered exam monitoring and risk-analysis system that combines multimodel ML, behavioral telemetry, rule-based risk scoring, and a monitoring dashboard to identify potentially suspicious exam activity.

EdTech · AI Agent · AI Evaluation Framework · Computer Vision · Workflow Automation

View Deployment

02 / AI DeploymentPublished record

SentinelX — AI Digital Safety Firewall

SentinelX is an AI-powered digital safety firewall that analyzes suspicious messages, URLs, job offers, emails, and login requests and explains potential security risks with practical defensive guidance.

Software & SaaS · AI Agent · AI Evaluation Framework · Workflow Automation

View Deployment

Implementation capabilities

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

Evidence-supported

Computer Vision1 record
AI Agent2 records
AI Evaluation Framework2 records
Workflow Automation2 records

Builder declared

AI Agents
AI Copilots
AI Evaluation & Testing
Multimodal AI

Technology

Technologies listed by the Builder, distinguished by published evidence.

Evidence-supported

Docker1 record
FastAPI1 record
JavaScript1 record
React1 record

Builder declared

.NET
Amazon Polly
Angular
AutoGPT
C#
Claude 4.5 Sonnet
Claude Code
Claude Fable 5.1
Codex
Dash
Dropbox Dash
Gemini Omni 1.1 Flash
Gradio
Grok Imagine Video
MongoDB
MySQL
OpenAI Codex CLI
PostgreSQL
Postman
TensorFlow
pytest

Industry experience

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

EdTech

1 published Deployment

Software & SaaS

1 published Deployment

Cybersecurity

Builder declared

Data & Analytics

Builder declared

IT Services & Systems Integration

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

Professional record and further evidence

Professional Certifications

Some recognition

GenAI Powered Data Analytics Job Simulation
Forage
Issued Apr 2026
Artificial Intelligence Internship
Internship Studio
Issued Jul 2026
Credential ID: ISAFII3224393

Ready to discuss your AI implementation?

Tell Pravesh Sharma what you are trying to automate and the outcome you need. Your message goes directly to the builder, with a copy kept in your Organisation Workspace.