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UNCLASSIFIED//OSINT
Kumar Pratyush Profile Picture
Person

LinkedIn OSINT Intelligence Report: Kumar Pratyush

Kumar Pratyush

Monitor Target

Bottom Line Up Front

The LinkedIn profile is strongly attributable to Kumar Pratyush, a Senior Software Development Manager at Amazon Web Services in the Seattle/Redmond area. The profile shows a long, internally consistent engineering career, verified status, and normal professional activity patterns. I found no meaningful impersonation signals in the evidence set.

Key Judgments

The anchor LinkedIn profile is very likely authentic and belongs to the named subject.

Almost certain High Confidence

The profile appears to be a real senior technology professional with a long career progression across major firms.

Almost certain High Confidence

The audience engagement on recent posts looks consistent with a real LinkedIn account, not an obvious bot or engagement pod.

Likely Moderate Confidence

Risk Assessment

12%
Low Risk

Analytic confidence in this assessment is high.


Identity resolution

Live Intel Map

Resolved Primary Identity

Kumar Pratyush

Assessment

Identity resolution is strong. The supplied LinkedIn profile exactly matches the subject name, current role, location, headline, and career history. The profile is verified, has a substantial follower base, and the education/work chronology is internally coherent. Cross-platform search produced many same-name candidates, but the strongest match is the target LinkedIn account itself; alternative candidates conflict on employer, seniority, or biography.

Resolved Identifiers

full name

Kumar Pratyush

username

kumar-pratyush-b08b72

organization

Amazon Web Services (AWS)

job title

Senior Software Development Manager

location

Redmond, Washington, United States

school

Banaras Hindu University

Online presence

Kumar Pratyush

LinkedIn • Public

Linked to subject: Almost certain
Confidence: High
Location: Redmond, Washington, United States
Category: Software / Technology Leadership

Linkage Basis:

  • Exact name match
  • Verified profile
  • Matching headline and role
  • Matching employer and location
  • Consistent career chronology
kanungopratyush

Twitter/X • Unknown

Linked to subject: Unlikely
Confidence: Low

Linkage Basis:

  • Name similarity only
  • No corroborating AWS or Redmond signals
Kumar Pratyush

Instagram • Unknown

Linked to subject: Unlikely
Confidence: Low

Linkage Basis:

  • Name similarity only
  • No biography or employer corroboration
Kumar Pratyush

Facebook • Unknown

Linked to subject: Unlikely
Confidence: Low
Category: Photographer

Linkage Basis:

  • Name similarity only
  • Bio conflicts with AWS software management profile
Interactive Graph

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Account OSINT

Top Associated Accounts

The network is centered on AWS and cloud infrastructure peers, with education anchored in India. The association pattern looks normal for a senior engineering manager and does not show signs of a fabricated or scam-oriented network.

A

Amazon Web Services (AWS)

employee_employer

LinkedIn profile and posts

"Primary employer and the central professional identity anchor for the subject."

I

Itay Maoz

colleague

LinkedIn posts

"Repeated repost interaction suggests a real professional connection within the cloud engineering space."

D

Dawit Tegegn

colleague

LinkedIn posts

"The subject reposted or interacted with Dawit Tegegn’s content, indicating an internal AWS network tie."

M

Matt Garman

organization

LinkedIn posts

"The subject reshared a post from the AWS CEO, which is consistent with company affiliation but not a personal relationship."

B

Banaras Hindu University

school

Education history

"Listed educational institution and a plausible background anchor."

Account Timeline

The account shows a steady professional cadence rather than bursty or deceptive behavior. Content is mostly AWS/product focused, engagement is plausible, and the network reflects real industry relationships.

Account First Observed

LinkedIn profile extraction reflects a mature, established profile with verified status and 1,950 followers.

The account is not a new or throwaway profile.

Job Change

AWS roles progressed from Software Development Manager in 2016-2019 to Software Development Manager in 2019-2022 and Senior Software Development Manager from Oct 2022 onward.

The career path shows internal promotion and continuity at AWS.

Posting Window

Posts in the supplied sample cluster around late 2024 and April 2025.

The account is active and professionally oriented in recent periods.

Intelligence gathered

Strong Identifiers And Pivots

  • The target profile resolves cleanly to Kumar Pratyush with the handle kumar-pratyush-b08b72.
  • The profile is verified and lists Senior Software Development Manager at Amazon Web Services, based in Redmond, Washington, United States.
Intelligence Gaps 2
  • No email, phone number, or secondary account was confirmed from the evidence set.
  • No direct external corroboration outside LinkedIn was provided for non-LinkedIn accounts.

Weak Identifiers And Background Markers

  • The follower count is 1,950, which is plausible for a senior executive/manager profile and not a mass-audience signal.
  • The profile is marked as premium and verified, which supports ordinary professional use.
Intelligence Gaps 2
  • No public birthday, email, or contact information was exposed in the supplied data.
  • No language list or detailed skills section was provided in the extraction.

Account Attribution And Identity Linkage

  • Identity matching output scored the LinkedIn profile as a very high-confidence strong match to the seed name and context.
  • The biography, headline, employer, city, and career chronology all align with the anchor profile.
Intelligence Gaps 2
  • No independent government or corporate directory was provided to confirm employment beyond LinkedIn.
  • No archive history or URL ownership evidence was supplied.

Online Presence And Platform Activity

  • The target posted at least 30 times, indicating an active but not high-volume LinkedIn presence.
  • Recent content is centered on AWS product launches and cloud infrastructure topics such as ElastiCache and Valkey.
Intelligence Gaps 2
  • No full comment text or reaction authenticity audit was provided.
  • No follower quality breakdown or bot analysis was available.

Behavioral Markers And Preferences

  • Posting topics suggest a strong focus on distributed systems, data stores, and cloud computing.
  • The subject appears to share product announcements and team launches, which is consistent with a senior engineering manager role.
Intelligence Gaps 2
  • No personal hobbies, political views, or off-platform behavior were exposed.
  • The evidence does not show whether the subject writes original commentary versus mostly resharing.

Temporal Markers And Activity Windows

  • The profile shows current AWS employment beginning in May 2016 in the structured profile and later role updates through October 2022.
  • Post timestamps in the supplied set cluster around late 2024 and April 2025.
Intelligence Gaps 2
  • No account creation date was provided.
  • No long-term posting cadence or inactivity gaps were available beyond the sample.

Best next moves

Risks & recommendations

Identified Risks

3

⤷ 3 additional risks found in this analysis

Impersonation

Almost certainly not

Low visible risk that the target LinkedIn profile itself is fake or impersonating someone else.

Horizon: Near-term

Professional credibility

Highly likely

The profile looks credible and career-consistent, which is positive for hiring, partnership, or vendor vetting.

Horizon: Near-term

Network attribution

Likely

Same-name accounts across platforms could cause confusion if someone tries to pivot without verifying employer and location.

Horizon: Mid-term

Recommendations

2

⤷ 2 recommended courses of action

Confirm the LinkedIn anchor profile

3 steps

Use the verified LinkedIn profile as the primary identity source for Kumar Pratyush unless a stronger contradictory source appears.

Record the canonical URL: https://www.linkedin.com/in/kumar-pratyush-b08b72/ Treat the name, AWS role, Redmond location, and career history as the baseline identity set. A conflicting company or location appears on a stronger source.

Validate the broader network only where evidence is strong

3 steps

Use AWS, Itay Maoz, Dawit Tegegn, and Matt Garman as network pivots, but only for corroborated professional analysis.

Check whether those accounts continue to interact with the target over time. Use company and education pivots to look for conference pages or public bios. A repeated off-platform connection appears across multiple sources.

Data sources

Source Registry

5

Analysis is limited to the evidence supplied by the tool and public-facing profile signals. No private access, credential testing, or invasive collection was used.

Source ID / Type Description Grading (Src/Info)
eval_1
linkedin profile
Structured LinkedIn profile data for the target URL.
Coverage: Headline, location, employment history, education, follower count, verification status, profile photo.
SRC A
INFO 1
eval_2
linkedin posts
Recent LinkedIn posts and reshared content from the target profile.
Coverage: Post timestamps, engagement counts, topics, and reshared accounts.
SRC A
INFO 1
eval_3
social search
Cross-platform username and name search results.
Coverage: Candidate profiles across LinkedIn, Instagram, Facebook, Twitter/X, GitHub, YouTube, TikTok.
SRC B
INFO 2
eval_4
person social search
Identity-resolution output comparing the seed name to candidate accounts.
Coverage: Match strength, conflicts, and corroborating signals.
SRC A
INFO 1
eval_5
metadata
AI/deepfake detection for the profile photo.
Coverage: Face detection and synthetic-image likelihood.
SRC B
INFO 2

Follow Up Questions

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Sample questions

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Who is most likely behind this LinkedIn account?
Are there any strong signs of impersonation or a fake profile?
Which other accounts look genuinely linked to this person?
What evidence best supports the subject’s job history and location?
Should I check the profile photo against reverse-image sources?
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883 data points collected