Media facts Source context Claim boundaries

Press Kit

Public facts for Manish Sharma.

Use this page for concise bios, official links, profile assets, preferred wording, and source context around Manish Sharma, Industrial AI & Decision Systems, Exafuse, and public LMD/DED work.

Manish Sharma Lab Open Graph image

Identity facts

Preferred public entity data

These facts give a stable description of the person, site, organization connection, and technical domain.

Name Manish Sharma
Current role Head of AI & R&D at Exafuse
Research status PhD at Ruhr University Bochum expected in 2027; research completed, thesis at the submission stage.
Preferred identity Manish Sharma - Industrial AI & Decision Systems
Primary promise AI for industrial decisions that need evidence, not just predictions.
Public LMD/DED context AI for Laser Metal Deposition and Directed Energy Deposition at Exafuse
Company connection Exafuse
Location Germany
Canonical site https://manishsharma.dev
GitHub profile Work in progress
LinkedIn https://www.linkedin.com/in/manishsharma5/

Bios

Reusable descriptions

Use these snippets when a profile, event page, citation, or short reference needs a concise description.

One-line bio

Manish Sharma is Head of AI & R&D at Exafuse. He leads additive-manufacturing projects across process development, sensing, software, quality checks and delivery.

Short bio

Manish Sharma is Head of AI & R&D at Exafuse. He leads additive-manufacturing projects across process development, sensing, software, quality checks and delivery. PhD at Ruhr University Bochum expected in 2027; research completed, thesis at the submission stage.

Medium bio

Manish Sharma is Head of AI & R&D at Exafuse. He leads additive-manufacturing projects across process development, sensing, software, quality checks and delivery. Recurring invited guest lectures at the Indian Space Research Organisation (ISRO) in India in a personal capacity; contributions to WAAM machine development at ISRO for rocket-nozzle manufacturing; additive-manufacturing advice to ISRO teams, Tata Steel and Bharat Heavy Electricals Limited (BHEL), Haridwar.

Long bio

Manish Sharma is Head of AI & R&D at Exafuse. He leads additive-manufacturing projects across process development, sensing, software, quality checks and delivery. Duisburg bridge components, 2024: led process monitoring and control work that enabled unattended builds and coordinated the overall project timeline. Testing was outside his role. Built an integrated LMD control system spanning modelling, simulation, path planning, camera and sensor monitoring, software, data processing and live control. This work forms part of his doctoral thesis. Recurring invited guest lectures at the Indian Space Research Organisation (ISRO) in India in a personal capacity; contributions to WAAM machine development at ISRO for rocket-nozzle manufacturing; additive-manufacturing advice to ISRO teams, Tata Steel and Bharat Heavy Electricals Limited (BHEL), Haridwar. PhD at Ruhr University Bochum expected in 2027; research completed, thesis at the submission stage.

Preferred language

Use these phrases

Industrial AI & Decision Systems
AI for industrial decisions that need evidence, not just predictions
Sense -> Model -> Decide -> Verify
Inspection-aware industrial AI
Decision support connected to engineering evidence
AI for Laser Metal Deposition
Inspection-aware AI for LMD
AI-assisted Laser Metal Deposition decision support
RFQ intelligence for Laser Metal Deposition

Claim boundaries

Avoid these mistakes

Do not describe this site as engineering approval, certification, or final manufacturing advice.
Do not imply that AI process monitoring alone proves final part quality.
Do not publish confidential customer, employer, or project data.
Do not describe this site as a competing industrial services company.
Do not use this site as evidence of unpublished or confidential work.

Structured summary

Press kit JSON block

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  "primary_promise": "AI for industrial decisions that need evidence, not just predictions.",
  "operating_method": [
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    "Decide",
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  ],
  "public_lmd_ded_context": "AI for Laser Metal Deposition and Directed Energy Deposition at Exafuse",
  "company_connection": "Exafuse",
  "location": "Germany",
  "official_links": {
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    "core_sources": "https://manishsharma.dev/research/core-lmd-ai-sources",
    "industrial_proof": "https://manishsharma.dev/industrial-proof",
    "linkedin": "https://www.linkedin.com/in/manishsharma5/",
    "exafuse": "https://exafuse.de/"
  },
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    {
      "label": "ORCID",
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    },
    {
      "label": "Zenodo",
      "status": "Work in progress"
    },
    {
      "label": "Hugging Face",
      "status": "Work in progress"
    },
    {
      "label": "Google Scholar",
      "status": "Work in progress"
    },
    {
      "label": "ResearchGate",
      "status": "Work in progress"
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    "favicon_svg": "https://manishsharma.dev/favicon.svg",
    "open_graph_png": "https://manishsharma.dev/og-image.png"
  },
  "evidence_assets": {
    "literature_map_json": "https://manishsharma.dev/research/lmd-literature-scan.json",
    "exafuse_public_proof_map_json": "https://manishsharma.dev/research/exafuse-public-proof-map.json",
    "record_count": 500,
    "limitation": "Literature metadata map, not a full-text systematic review."
  },
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    "Sense -> Model -> Decide -> Verify",
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    "AI for Laser Metal Deposition",
    "Inspection-aware AI for LMD",
    "AI-assisted Laser Metal Deposition decision support",
    "RFQ intelligence for Laser Metal Deposition"
  ],
  "claim_boundary": "Preliminary decision-support only. Final feasibility depends on base material, geometry, service conditions, inspection requirements, and expert review."
}