AI Deploy Network
Ashu Rajput

AI Deploy Network / Builder

Ashu Rajput

AI Engineer

IndiaLucknowSeniorAvailable Now

Published evidence

0 AI Deployments

01

About Ashu

Computer Science graduate specializing in Artificial Intelligence, Machine Learning, Deep Learning, and Computer Vision, with experience developing AI applications, neural network-based systems, and research-oriented machine learning pipelines. Skilled in Generative AI and LLM application development, including Retrieval-Augmented Generation (RAG), LangChain, LLM agents, and agentic AI workflows, alongside Python and modern AI/ML frameworks. Experienced in taking AI systems from data processing and model development to functional applications, with a focus on technical implementation, experimentation, and scalable solutions.

Professional profile

Location
Lucknow, India
Time zone
Asia/Calcutta
Work mode
Remote
Availability
Available Now
AI experience
1+ years
Industry experience
1+ years
Languages
English, Hindi
Typical response
Within a few hours

02

Proven on the network

Implementation records and publicly available work, where published.

0 AI Deployments delivered. No publicly identified implementations are available to inspect.

03

What Ashu builds

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

Specialisations

Agentic Workflow Automation

AI Agents

Computer Vision

Multi-Agent Systems

04

AI Deployments

Real AI implementations demonstrated through evidence.

No publicly identified Deployments are available to inspect.

05

Implementation capabilities

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

Evidence-supported

    No published evidence linked yet.

    Builder declared

    • Agentic Workflow Automation
    • AI Agents
    • Computer Vision
    • Multi-Agent Systems

    06

    Technology

    Technologies listed by the Builder, distinguished by published evidence.

    Evidence-supported

      No published evidence linked yet.

      Builder declared

      • Claude Code
      • Codex
      • Discord
      • Docker
      • GitHub Actions
      • LangChain
      • LangGraph
      • Ollama
      • Streamlit

      07

      Industry experience

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

      IT Services & Systems Integration

      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

      • Public Sector Organisation

        Confidential

        Machine Learning • Biotechnology

        2026

        Built the DHGNN pipeline with Hyper-SAGNN V2E2V vertex convolution and dynamic re-clustering of spatial hyperedges between layers, and trained it for cell-fate prediction. It reached 0.98 accuracy (loss 0.058).

      Professional Certifications

      Some recognition

      • Oracle Cloud Infrastructure AI Foundations

        Oracle

        Issue date not specified

      • • Introduction to Data Science — Cisco Networking Academy

        Cisco

        Issue date not specified

      Ready to discuss your AI implementation?

      Tell Ashu Rajput 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.