Nitesh Kankariya — CEO

I led engineering team at Amazon to build products, and scale mission-critical systems to support multi-billion dollar business. Now I'm using that same engineering rigor to fix the most broken process in business: hiring. 🚫 THE PROBLEM Every day, HR teams waste 40+ hours manually screening candidates: → 500 applications for a single role → Only 5% are qualified → 475 wasted reviews per position → Months to fill critical roles This isn't just inefficient. It's expensive. And it's costing companies millions in lost productivity. ✅ THE SOLUTION At GenieHire, we've built an AI-powered interview platform that: → Screens 500 candidates in 1 hour (not 6 weeks) → Provides instant, bias-free scoring → Reduces hiring costs by 95% We're not trying to replace recruiters. We're giving them superpowers. 🎯 MY BACKGROUND Before founding GenieHire: → Engineering Leader @ Amazon - Led 3engineers building mission-critical infrastructure → Co-Founder & CTO @ The Social Continent - Built decentralized social platform on blockchain → Software Engineer @ HSBC - Global banking systems → MS in Computer Science @ SUNY Buffalo I've spent 15+ years building systems that scale to millions of users. Now I'm applying that expertise to transform how companies hire. 🌍 OUR MISSION Make AI-powered hiring accessible to every company, regardless of size or budget. We believe the best talent deserves a fair shot, and companies deserve efficient hiring. 🤝 LET'S CONNECT If you're: ✓ Hiring 50+ people per year ✓ Frustrated with manual screening ✓ Interested in AI + recruitment Let's talk → https://www.geniehire.ai/ P.S. I also share weekly insights on AI, hiring, and building B2B SaaS. Hit the 🔔 on my profile to follow along.

Stackforce AI infers this person is a SaaS and AI recruitment expert with extensive experience in scalable systems.

Location: San Francisco, California, United States

Experience: 16 yrs 6 mos

Skills

Artificial Intelligence (ai)
Software As A Service (saas)
Enterprise Architecture
Strategic Leadership
Distributed Systems
Leadership

Career Highlights

Led engineering teams at Amazon for multi-billion dollar systems.
Founded GenieHire to revolutionize hiring with AI.
15+ years of experience in building scalable systems.

Work Experience

GenieHire.ai

Chief Executive Officer (2 yrs 4 mos)

Amazon

Engineering Leader (8 mos)

Engineering Leader (10 yrs 1 mo)

The Social Continent

Co- Founder & Chief Technology Officer (2 yrs 5 mos)

HSBC Global Technology India

Software Engineer (9 mos)

Infosys

Systems Engineer (1 yr 11 mos)

Tata Research Development and Design Center

Project Trainee (8 mos)

Education

B.Tech at COEP Technological University

Master of Science (MS) at University at Buffalo

Nitesh Kankariya

CEO

San Francisco, California, United States16 yrs 6 mos experience

AI Enabled

Key Highlights

Led engineering teams at Amazon for multi-billion dollar systems.
Founded GenieHire to revolutionize hiring with AI.
15+ years of experience in building scalable systems.

Stackforce AI infers this person is a SaaS and AI recruitment expert with extensive experience in scalable systems.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Software As A Service (saas)Enterprise ArchitectureStrategic LeadershipDistributed SystemsLeadership

Other Skills

Operational ExcellenceProduct DesignProduct LaunchLarge Scale SystemsSoftware DevelopmentTeam BuildingCloud ComputingAmazon Web Services (AWS)UnixJavaPL/SQLCC++PHPCore Java

About

Experience

16 yrs 6 mos

Total Experience

2 yrs 9 mos

Average Tenure

2 yrs 4 mos

Current Experience

Geniehire.ai

Chief Executive Officer

Jan 2024 – Present · 2 yrs 4 mos

I’m passionate about harnessing AI to solve real world business challenges by driving excellence in hiring at scales — allowing companies to focus on what matters most: people, growth, and performance.
At GenieHire.ai, I am leading a mission-driven team dedicated to transforming how organizations discover, evaluate, and hire talent using the power of AI. GenieHire.ai is built to streamline and automate the end-to-end recruitment lifecycle, enabling HR and talent acquisition teams to make faster, smarter, and more objective hiring decisions.
We’re pioneering AI-driven recruitment solutions that:
Eliminate manual bottlenecks by automating resume screening, interview scheduling, and candidate assessment.
Leverage intelligent matching and data-driven insights to recommend the best talent fit for every role.
Deliver detailed AI-generated candidate reports that help hiring teams evaluate strengths, skills, and behavioral fit with clarity and fairness.
Support organizations of all sizes — from startups to enterprises — in building high-performing teams with less bias and lower time-to-hire.

Amazon

2 roles

Engineering Leader

May 2023 – Jan 2024 · 8 mos

Drove engineering and product strategy to scale a multi-billion-dollar business, translating vision into execution at scale.
Built, led, and retained a high-performing team of 30+ engineers delivering mission-critical platforms and systems.
Mentored and developed engineers and leaders, fostering a culture of technical excellence, ownership, and innovation.
A hands-on technologist who actively codes and architects solutions, simplifying complex systems into scalable, elegant platforms.

Enterprise ArchitectureStrategic LeadershipProduct DesignProduct LaunchLarge Scale Systems

Engineering Leader

Apr 2013 – May 2023 · 10 yrs 1 mo

Drove engineering and product strategy to scale a multi-billion-dollar business, translating vision into execution at scale.
Built, led, and retained a high-performing team of 30+ engineers delivering mission-critical platforms and systems.
Mentored and developed engineers and leaders, fostering a culture of technical excellence, ownership, and innovation.
A hands-on technologist who actively codes and architects solutions, simplifying complex systems into scalable, elegant platforms.

Distributed SystemsSoftware DevelopmentOperational ExcellenceLeadershipProduct LaunchStrategic Leadership+1

The social continent

Co- Founder & Chief Technology Officer

Apr 2023 – Sep 2025 · 2 yrs 5 mos · Pune District, Maharashtra, India · On-site

Hsbc global technology india

Software Engineer

Oct 2011 – Jul 2012 · 9 mos · Pune/Pimpri-Chinchwad Area · On-site

Led end-to-end requirement discovery and technical consultation, translating complex business needs into scalable application and database designs.
Owned the analysis, design, and development of high-performance applications and data models with a strong focus on reliability and maintainability.
Evaluated existing systems to assess the impact of enhancements, driving safe, low-risk changes across interconnected components.
Ensured production-grade quality, delivering error-free, resilient solutions through rigorous reviews and validation.

Infosys

Systems Engineer

Jul 2009 – Jun 2011 · 1 yr 11 mos · Pune/Pimpri-Chinchwad Area

Analysis, coding, Testing of application programs. Analysis of existing programs and impact of new change on them, tuning SQL queries to improve performance.
Received extensive training on Object Oriented Programing, RDBMS, C and UNIX.

Tata research development and design center

Project Trainee

Aug 2008 – Apr 2009 · 8 mos · Pune/Pimpri-Chinchwad Area

Study of existing tools and techniques to locate fault in Java programs, find new techniques to find logical fault, Design and implementation of Data Structure required in project, Implementation of Algorithms and formulae in Java with minimum space and time complexity, Development of Visualization to show location of problem in source code.