Sooraj Sashikumar Email & Phone Number

Bengaluru, KA, IN

Sunnyvale, CA, US

• Investigate, research, gather electronic evidence, and resolve internal and external issues related to various threats against LinkedIn and our members.
• Research threats, Indicators of Compromise (IoCs), and threat actor TTPs to support Threat Hunting, Signature Development, and Threat Intelligence Platform (TIP) process. Process and analyze large datasets, and.
• Research threat escalations reported internally and conduct full OSINT (open-source intelligence) research on reported scraping/automation tools, learn and apply technical investigations (using Fiddler and remote.
• Support other investigators working on automation/scraping enforcement projects and own the complete life cycle of the investigations, including drafting reports to be reviewed/enforced by Legal.
• Collaborate with cross-functional teams such as legal, product, data science, and security engineering to enhance processes, workflows, tools, and system functionality.
• Produce high-quality detailed documentation to internal and external parties while managing sensitive or confidential information.

Sunnyvale, CA, US

• As a member of the Trust Engineering Incident Management team, we mitigate abuse attacks, investigate abuse behaviors, develop scalable tools and platforms, as well as research new approaches to prevent abuse at scale.
• One of the first Investigators in the Trust Incident management team playing a key role in anti-abuse defense research and incident response.
• Work with LinkedIn's Abuse Prevention infrastructure Team, AI/Machine Learning Team, Trust & Safety, Corp Communication, and Legal teams to respond to large-scale abuse attacks.
• Work with various LinkedIn security teams on identifying new attack trends and patterns, identifying bad actors, and preventing abusive usage, leading data-driven investigations, creating proactive detection.
• Perform in-depth research into potential abuse attacking vectors and further proof-of-concept on improving current defense.

Sunnyvale, CA, US

• Investigate imminent threats such as human trafficking, sextortion, suicides, child exploitation, and terrorism and refer them to law enforcement.
• Analyze and identify fraudulent activity based on actionable intelligence leads.
• Effectively recognize threats by performing relevant research and data analysis.
• Collaborate with cross-functional groups such as legal, product, data science, and security engineering to enhance processes, workflows, tools, and system functionality.
• Produce high-quality detailed documentation to internal and external parties while managing sensitive or confidential information.

Sunnyvale, CA, US

• Handle machine learning projects from Data Science and Engineering teams. Sync with the Data Sciences and Engineering teams for classifier building, monitor precision of the Machine Learning models, and provide.
• POC for near-duplicate detection services for bad content (BR). Responsible for maintaining the classifier precision, reviewer labeling consistency, identifying bad content trends, and mitigation in case of a dip in.
• Collaboration with policy teams regarding policy changes and their impact on automation.
• Extensively tackle bad content and fake account-related escalations from internal teams and stakeholders.
• Design and deliver highly engaging and effective training programs on LinkedIn’s Trust & Safety policies, systems, and tools (EMEA/APAC).
• Partner with the UX Team by providing valuable inputs in redesigning existing tools.

Sunnyvale, CA, US

• Primarily research threat escalations reported internally through scraper-council and conduct full OSINT (open-source intelligence) research on reported scraping extensions/companies, and learn and apply technical.
• Support other investigators working on scraping enforcement projects and own the full life cycle of the investigations, including drafting reports to be reviewed/enforced by Legal.
• Research cyber threat escalations reported internally and externally to Investigations' established channels, conduct attribution and/or provide valuable insights through investigation relevant to enforcement or.

Sunnyvale, CA, US

• Review content that has been flagged by members that are inappropriate or in violation of LinkedIn policy and proactively monitor content being posted on LinkedIn, thereby improving the quality of content published on.
• Design and deliver highly engaging and effective training programs on LinkedIn’s Trust & Safety policies, systems and tools, and advanced soft skills.
• Proactive investigation of fake accounts and accounts that are in violation of LinkedIn user agreement.
• Sync with the Data Sciences and Engineering teams for classifier building, monitor the precision of the Machine Learning models, and provide feedback to the team in order to improve the precision of classifiers.
• Manage and complete ad-hocs that come from the Relevance and Engineering team and ensure timely submission. Ad-hoc involves labeling of content, report of fake accounts, fake company pages or any trend noted by the.
• Manage the contingency workforce team with respect to work allocation, ad-hoc tasks and perform timely quality audits.

Sunnyvale, CA, US

• Research and resolve all issues related to spam, account takeover, scraping, and other Terms of Service violations.
• Balance customer needs and business requirements, use problem-solving and decision-making skills to fully support members and drive towards an ideal outcome.
• Responsible for research and resolution of internal and external customer queries that support Linkedin's privacy policy and user agreement, fraud and all other disputes. Provide a single point of contact for complex.
• Work within a queue support model with a specific daily target on the number of customer contacts completed and quality of resolution.
• Effectively recognize problems by performing relevant research and data analysis using appropriate tools, resources, and internal and external subject matter experts.
• Ensure customer escalations and complaints are resolved and managed to LinkedIn professional standards

• Moderate online and admin advertisements for India/UK/Ireland and Australia and make the website spam and scam-free for the users, providing the best user experience.
• Monitor and analyze digital advertising campaigns to detect and investigate potential abuse or fraudulent activities, including but not limited to click fraud, impression fraud, and non-compliance with advertising.
• Investigate and respond to reports of advertising abuse, such as spam, malware, phishing, and other malicious activities.
• Collaborate with cross-functional teams, including product, engineering, legal, and policy teams, to ensure effective detection and mitigation of advertising abuse.
• Develop and maintain policies, procedures, and workflows for the detection and mitigation of advertising abuse.
• Conduct data analysis to identify patterns and trends in advertising abuse activities and develop strategies to prevent future abuse.

London, England, GB

Contacting debtors: Responsible for contacting the customers to inform them of the outstanding debt and the consequences of not paying it. We use various methods to contact the debtor, such as phone calls, emails, letters, or personal visits.Negotiating payment arrangements: Work with the customer to negotiate a payment plan that is reasonable and.

Ba, Business Studies

Bachelor'S Degree, Business Administration

Pre University College

High School