AI Deploy Network
Shrey Shukla

AI Deploy Network / Builder

Shrey Shukla

AI Agents

IndiaNadiadSeniorAvailable Now

Published evidence

1 AI Deployment

1 publicly identified

01

About Shrey

AI Agent Developer with production-proven experience delivering enterprise-grade systems for Gulf region clients. Spe

cialized in n8n workflows, Voice AI agents, RAG pipelines, and LLM orchestration. Deployed systems processing 1,200+

Read more

real products with 96.6% efficiency gains and sub-15ms AI search latency in live production environments

Professional profile

Location
Nadiad, India
Time zone
Asia/Calcutta
Work mode
Remote, Hybrid, On-site
Availability
Available Now
AI experience
1+ years
Industry experience
1+ years
Languages
English, Hindi, Gujarati
Typical response
Same business day
Available in
India, United States, Canada, Australia, United Kingdom, Spain, France, New Zealand, Japan, United Arab Emirates

02

Proven on the network

Implementation records and publicly available work, where published.

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

Reported business outcomes
  • Hours Automated100 hours

    period not specified

    Automated 100 hours (period not specified)

Builder-reported outcomes, recorded on deployment and case study records that AI Deploy Network reviewed before publication. AI Deploy Network does not currently capture a measurement basis or calculation methodology for reported outcomes, so none is shown.

03

What Shrey builds

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

Specialisations

AI Agents

Business Intelligence

Chatbots

Multi-Agent Systems

RAG & Knowledge Retrieval

Builder-listed deployment types

  • AI Agent
  • Code Generation
  • RAG System
  • Workflow Automation

04

AI Deployments

Real AI implementations demonstrated through evidence.

01 / AI DeploymentPublished record

AI-Powered E-Commerce SEO & Product Content Automation

An AI-powered e-commerce automation system built with n8n, Python, and LLMs to automate product research, SEO title and description generation, and bulk product processing. The workflow uses web search and scraped product information to generate opti

100 hours automated

E-Commerce · AI Agent · Code Generation · RAG System · Workflow Automation

View Deployment

05

Implementation capabilities

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

Evidence-supported

  • AI Agent1 record
  • Code Generation1 record
  • RAG System1 record
  • Workflow Automation1 record

Builder declared

  • AI Agents
  • Business Intelligence
  • Chatbots
  • Multi-Agent Systems
  • RAG & Knowledge Retrieval

06

Technology

Technologies listed by the Builder, distinguished by published evidence.

Evidence-supported

    No published evidence linked yet.

    Builder declared

    • AG2
    • Agent Skills
    • Airtable AI
    • Chroma
    • Claude 4.5 Sonnet
    • Claude Code
    • Claude Fable 5
    • Claude Fable 5.1
    • CrewAI
    • FAISS
    • Java
    • LiteLLM
    • MongoDB Atlas Vector Search
    • OpenRouter
    • Pinecone
    • Postman
    • Qdrant
    • Redis Vector
    • Temporal
    • n8n
    • pgvector

    07

    Industry experience

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

    E-Commerce

    1 published Deployment

    Livestock & Dairy

    Builder declared

    08

    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

    Client Portfolio

    Portfolio started

    • e-commerce companie

      Confidential

      Agentic AI • E-Commerce

      Saudi Arabia2026

      • E-Commerce Automation Pipeline: Built end-to-end n8n workflow processing vendor submissions via web scraping (Serper API), local LLM content generation (Qwen2.5:7b / Ollama), AI image enhancement (ESRGAN + BiRefNet), and automated AWS S3 WebP delivery. Imported 1,200+ products into production DB — reducing onboarding from 17 min to 20 sec per SKU (96.6% faster) with zero errors. • FAISS Visual Search Engine: Architected hybrid search combining SKU autocomplete with multi-tier visual dis covery. Primary ONNX SigLIP + FAISS path delivers sub-15ms latency; fail-soft cascade: Vector → Gemini Vis

      1 AI Deployment
      Hours
      100
      View Related AI Deployments →
    • August_infotech logo

      August_infotech

      AI Transformation • HR & Staffing

      India2026

      • Built AI-powered recruitment workflows combining resume parsing, semantic search, LLM-based evaluation, and candidate matching. • Developed intelligent PDF/DOCX processing pipelines using PyMuPDF and document processing libraries to extract structured candidate information. • Implemented semantic candidate matching using Sentence Transformers and PostgreSQL pgvector for vector similarity search, automated screening, and skill-gap analysis. • Integrated Celery and Redis for asynchronous execution of resume parsing, interview transcript analysis, and LLM-powered evaluation workflows. • Impleme

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