Oct 2018 – Sep 2021 · 2 yrs 11 mos · Bengaluru, Karnataka, India

• Responsible for sourcing active and passive candidates based engineering positions ranging from the mid to senior levels at Google.
• Responsible for an identification, assessment and engagement of skilled candidates through proactive recruiting techniques.
• Hands on experience in sourcing candidates from different portals, Open Web and social media.
• We aim to build the best in class team with top notch talent resonating Google culture of innovation and fun.

Jun 2018 – Oct 2018 · 4 mos

Jun 2017 – Jun 2018 · 1 yr

• Part of the Talent Acquisition Group to hire the best talent into Niche areas like Analytics , Asset Management, Consulting and IT roles in India.
• Source from social media, portals and other channels .
• An active employer branding agent focusing on candidate experience and process improvements
• Talent pool analysis to understand supply and balance demand.
• Screening resumes interviewing of candidates to evaluate their credentials whilst doing a comparative analysis with the requirements in order to establish compatibility between the two.
• Preparing of daily, weekly and monthly reports and attending conference meeting whenever required.
• Well versed in HR practices and employment law as they pertain to recruiting.
• Manage all types of stakeholders.

Jun 2016 – Jun 2017 · 1 yr · Pune, MH

• Working for Intel Corp., Oracle, Juniper Networks.
• Responsible for the complete Recruiting Life cycle, from gathering requirements, qualifying the resource, negotiating pay rates/Salaries, submitting, Scheduling Interviews, feedback.
• Conducting extensive searches through job sites, job postings, internal database (Job Diva- ATS) and search engines, networking etc.

Jan 2015 – Apr 2016 · 1 yr 3 mos

• Working for Intel Corp., Boeing, John Deere.
• Responsible for conducting end-to-end recruitment process from sourcing to applicant closure. Used Boolean searches to identify elite engineering talent by top 50 CS schools, target companies, groups, and tech stack.
• Screened qualified applicants for computer science fundamentals, domain experience, relevant production experience, tech stack (languages/libraries/tools/etc.), as well as communication skills, and cultural fit.