Sparsh G.

CEO

New York, New York, United States4 yrs 3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Reduced hiring cycles from 60 days to 10 days.
Screened over 800 candidates with AI-driven systems.
Built standardized interview frameworks for technical roles.

Stackforce AI infers this person is a B2B SaaS Talent Acquisition Specialist with a strong focus on AI and data engineering.

Contact

Skills

Core Skills

Ai Candidate ScreeningStructured Interview FrameworksTalent AcquisitionData EngineeringSoftware Development

Other Skills

Extract, Transform, Load (ETL)LangChainOpenAI APIPySparkMachine LearningAmazon RedshiftAirflowAzure DevOps ServicesCloud-Native ArchitectureMLOpsFinancial OperationsPython (Programming Language)DevOpsApache KafkaMicrosoft Azure

About

I've done 800+ interviews in 12 years. Hired for engineering, data, cloud, and AI teams. Found the same problems everywhere: → Engineers wasting 40% of time on interviews → 60-day hiring cycles losing top candidates → "Culture fit" decisions based on vibes So I built systems to fix it. Now I advise B2B companies on: → Structured interview frameworks → AI-powered candidate screening → Reducing time-to-hire without sacrificing quality Results: → 312 candidates screened automatically → 6 reached hiring managers → 2 hired in 5 hours of human time I work with founders and VPs of Engineering.

Experience

4 yrs 3 mos

Total Experience

1 yr 5 mos

Average Tenure

Current Experience

Stealth ai startup

Chief People Officer

Aug 2024 – Mar 2025 · 7 mos · United Kingdom · Remote

→ Advising B2B SaaS companies on AI hiring systems
→ Built automated interview systems: 312 candidates → 6 finalists → 2 hires
→ Reduced client time-to-hire from 60 days to 10 days
→ Saved 100+ engineering hours per hiring cycle
→ Conducted 800+ interviews across 12 years, trained AI on the patterns

Extract, Transform, Load (ETL)LangChainOpenAI APIPySparkMachine LearningAmazon Redshift+41

Quadrant technologies

Head of People

Nov 2022 – Jul 2024 · 1 yr 8 mos · United Kingdom · Remote

→ Led hiring for 40+ technical roles across cloud and AI teams
→ Built AI candidate screening system, reducing manual review by 70%
→ Designed interview rubrics and evaluation frameworks for engineering hires
→ Implemented structured interviewing process — same questions, same scoring, every candidate
→ Reduced bad hire rate by 35% through evidence-based evaluation
→ Partnered with Microsoft and eBay on technical hiring strategy

Extract, Transform, Load (ETL)Product ManagementLangChainOpenAI APIPySparkMachine Learning+40