Neha Garg

Co-Founder

New York, New York, United States19 yrs 1 mo experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in AI-driven candidate screening.
  • Reduced hiring cycles from 60 days to under 10.
  • Proven leadership in tech startup environments.
Stackforce AI infers this person is a SaaS expert specializing in AI-driven recruitment solutions.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Start-up Leadership

Other Skills

Human Resources (HR)HiringAI Candidate ScreeningTechnical Interview AutomationReal-Time AI InterviewsJavaC (Programming Language)Data StructuresCore JavaDatabase Management System (DBMS)Amazon Web Services (AWS)Oracle ERPPlatform as a Service (PAAS)Oracle E-Business Suitec++

About

Tech company hiring 5+ engineers a month? Want to cut your hiring cycle from 60 days to under 10 - without exhausting your engineers? READ THIS 👇👇 I help tech startups and SaaS teams screen candidates properly - before engineers ever get pulled into interviews. Since you’re on this profile, there’s a few things I already know about your hiring process: • Your engineers spend 10–12+ hours a week interviewing instead of building • Your ATS cuts 2,500 applicants down to 50 — and most still miss the mark • You lose strong candidates because other companies move faster Most teams think hiring slows down because of sourcing. It doesn’t. The real bottleneck is screening. Async video interviews don’t fix it. AI-written job descriptions don’t fix it. Another sourcing tool definitely doesn’t fix it. The real issue: Engineers are spending time interviewing people who fall apart the moment you ask a follow-up. That’s where we step in. We run an AI-led screening system that conducts real, live video interviews - with follow-up questions - before any human time is wasted. Not async. Not pre-recorded. Not a chatbot. How it works: → A live, two-way video interview (face + voice) → Up to 95 follow-up questions based on what the candidate actually says → Around 80% filtered out automatically → Clear feedback in under 5 minutes (timestamps, quotes, scores) → Only the top 20% reach your engineers What changes: Your engineers interview 3 people instead of 15. All 3 are genuinely qualified. Hiring cycles drop from 45–60 days to under 10. Interview fatigue disappears. Feedback becomes consistent and defensible. You scale hiring without adding recruiters. The moment it clicks for most teams: “Wait… it just asked a follow-up based on their answer?” They expect fixed questions. Then the system digs deeper: “You mentioned using Redis for caching - how did you handle cache invalidation?” That’s when they realize: This isn’t an assistant. It’s an interviewer. If you’re done burning engineering time and losing candidates to faster teams… DM me “SCREENING” and I’ll walk you through how this would plug into your hiring flow. PS — Heads of Talent, VP Recruiting, TA Directors: If you’re hiring engineers at scale, you’ll want to see this before your next hiring sprint.

Experience

19 yrs 1 mo
Total Experience
2 yrs 11 mos
Average Tenure
4 yrs
Current Experience

The cognitive

Co-Founder

May 2022 – Present · 4 yrs · United States · Remote

Artificial Intelligence (AI)Start-up LeadershipHuman Resources (HR)

Noblesoft technologies inc.

Project Manager

Jun 2020 – Aug 2021 · 1 yr 2 mos · Bengaluru, Karnataka, India

Acloudemy

Project Manager

Feb 2020 – Aug 2021 · 1 yr 6 mos

Cognizant

2 roles

Project Manager

Jan 2018 – Jun 2020 · 2 yrs 5 mos · Bengaluru, Karnataka, India

Senior Consultant

Oct 2016 – Jan 2018 · 1 yr 3 mos · Bengaluru, Karnataka, India

Capgemini

Consultant

Jul 2014 – Oct 2015 · 1 yr 3 mos · Greater Bengaluru Area

Amazon web services (aws)

Cloud Architect

Sep 2011 – Jul 2014 · 2 yrs 10 mos

Microsoft

Cloud Engineer

Jul 2005 – Sep 2011 · 6 yrs 2 mos · Bengaluru, Karnataka, India

Education

Vellore Institute of Technology

Bachelor of Technology — Computer Software Engineering

Jan 2001 – Jan 2005

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