Media facts Source context Claim boundaries

Press Kit

Public facts for Manish Sharma.

Use this page for concise bios, official links, profile assets and source context around Manish Sharma's laser-based manufacturing, photonics and industrial systems work. DED/LMD at Exafuse provides the strongest technical evidence.

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 / ThinkIng – Additive Technology GmbH
Research status External PhD researcher at Ruhr University Bochum, Applied Laser Technology. PhD in progress, expected 2027.
Preferred identity Manish Sharma - Laser-based Manufacturing and Industrial Systems
Primary promise Engineering from shop-floor constraints to repeatable processes and practical systems.
Public LMD/DED context More than six years in DED/LMD process development, sensing/control and manufacturing systems 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, working across laser-based manufacturing, photonics and industrial systems.

Short bio

Manish Sharma is Head of AI & R&D at Exafuse. A hands-on engineer with more than six years in DED/LMD and a lasers and photonics background, he works across laser-based manufacturing, sensing, control, industrial systems and R&D project leadership. External PhD researcher at Ruhr University Bochum, Applied Laser Technology. PhD in progress, expected 2027.

Medium bio

Manish Sharma is Head of AI & R&D at Exafuse. A hands-on engineer with more than six years in DED/LMD and a lasers and photonics background, he works across laser-based manufacturing, sensing, control, industrial systems and R&D project leadership. Camera-based height sensing developed from concept to tested prototype, with practical optics, illumination and calibration. External PhD researcher at Ruhr University Bochum, Applied Laser Technology. PhD in progress, expected 2027.

Long bio

Manish Sharma is Head of AI & R&D at Exafuse. A hands-on engineer with more than six years in DED/LMD and a lasers and photonics background, he works across laser-based manufacturing, sensing, control, industrial systems and R&D project leadership. Managed five employees with hiring responsibility; led Exafuse's contribution to BreitbahnDED, including technical coordination, milestones, costs and reporting. Monitoring and control deployed across three machines at two sites. Camera-based height sensing developed from concept to tested prototype, with practical optics, illumination and calibration. Built in-house MES/ERP with Print-ID traceability and operator procedures, used by every operator. Duisburg bridge components, 2024: led process monitoring and control work that enabled unattended builds and coordinated delivery scheduling within his scope. Testing was outside his role. External PhD researcher at Ruhr University Bochum, Applied Laser Technology. PhD in progress, expected 2027.

Preferred language

Use these phrases

Laser-based manufacturing, photonics and industrial systems
Technical project and R&D leadership
Hands-on engineering with more than six years in DED/LMD
Optical sensing, illumination, calibration and process monitoring
Applied AI, modelling and automation as engineering tools
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": "Engineering from shop-floor constraints to repeatable processes and practical systems.",
  "operating_method": [
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  ],
  "public_lmd_ded_context": "DED/LMD process development, sensing/control, robotics and manufacturing systems at Exafuse",
  "company_connection": "Exafuse",
  "location": "Germany",
  "official_links": {
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    "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",
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    {
      "label": "Google Scholar",
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    {
      "label": "ResearchGate",
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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."
  },
  "recommended_anchor_text": [
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    "Technical project and R&D leadership",
    "Hands-on engineering with more than six years in DED/LMD",
    "Optical sensing, illumination, calibration and process monitoring",
    "Applied AI, modelling and automation as engineering tools",
    "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_boundary": "Preliminary decision-support only. Final feasibility depends on base material, geometry, service conditions, inspection requirements, and expert review."
}