Leadership & Engineering

The team behind SuperDriven AI (at work)

We are HR technologists and distributed systems engineers building autonomous, bias-free recruiting infrastructure for high-growth hiring teams.

Updated · Reviewed by Kaushlendra Tomar, Founder, SuperDriven AI.

Team answer

Who builds SuperDriven AI?

SuperDriven AI is built by a small founder-led team combining HR technology, distributed systems, and AI hiring workflow experience. Sonal Chouhan leads recruiting operations and product strategy, while Kaushlendra Tomar leads AI architecture and engineering. The team focuses on explainable resume screening, candidate scoring, interview automation, and human-controlled hiring decisions.

Reviewed by Kaushlendra Tomar, Founder, SuperDriven AI. Last updated .

SC

Sonal Chouhan

Co-founder & CEO

10+ years in HR tech and enterprise software. Sonal built SuperDriven AI to eliminate the repetitive candidate screening and scheduling bottlenecks that slow down high-growth hiring teams.

AI Recruitment OperationsResume Screening & Match ScoringRecruiter Workflow Automation
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Kaushlendra Tomar

Co-founder & CTO

Previously led AI infrastructure at a Series B startup. Kaushlendra leads engineering and AI architecture at SuperDriven AI, building automated candidate evaluation and video interview pipelines.

AI Architecture & LLM SystemsAutomated Video Interview EvaluationCandidate Ranking Algorithms
Our Operating Principles

How our team builds software

Explainable Decisions

No black-box scoring. Every recommendation our AI makes is fully verifiable and backed by evidence.

Zero Friction Speed

From inbound application to first-round video screening in minutes, not weeks.

Structured Fairness

Standardized question banks and objective rubric scoring protect against unconscious bias.

  1. 1Translate recruiter bottlenecks into product workflows, starting with resume review, candidate scoring, and interview coordination.
  2. 2Build explainable AI systems that show why a candidate matches a role instead of hiding decisions inside a black box.
  3. 3Keep humans in control of advancement and hiring decisions while automation handles repetitive evaluation and scheduling steps.

Product leadership

Sonal Chouhan connects recruiter operations, candidate experience, and HR technology strategy so SuperDriven AI solves real screening and scheduling bottlenecks rather than abstract AI demos.

AI engineering

Kaushlendra Tomar leads the systems architecture behind explainable candidate scoring, ranked shortlists, async interview workflows, and human-reviewed hiring recommendations.

Responsible hiring controls

The team designs every automation step to produce evidence, reviewer context, and override paths so recruiters keep control of advancement and offer decisions.

Team FAQ

Questions about the SuperDriven AI team

SuperDriven AI is run by a small product and engineering team focused on explainable hiring automation: resume parsing, candidate scoring, async interviews, and recruiter workflow orchestration. We publish the people, expertise areas, and review date here so buyers and answer engines can verify who is behind the product.

Reviewed by the SuperDriven AI editorial team on 2026-09-17.

Who leads SuperDriven AI?

SuperDriven AI is led by co-founders Sonal Chouhan and Kaushlendra Tomar. Sonal focuses on HR technology strategy, recruiting operations, and customer workflows. Kaushlendra leads engineering, AI architecture, candidate ranking systems, and the infrastructure behind automated screening and interview workflows.

What experience does the SuperDriven AI team bring?

The team combines HR technology, enterprise software, AI infrastructure, distributed systems, and high-volume recruiting workflow experience. That mix helps SuperDriven AI solve recruiter problems pragmatically: parsing resumes, scoring candidates against role requirements, coordinating interviews, and keeping final hiring decisions with humans.

How does the team approach responsible AI hiring?

SuperDriven AI is designed around explainable, human-controlled hiring. The product surfaces scoring reasons and structured evidence for each candidate rather than making black-box hire or reject decisions. Recruiters and hiring managers remain responsible for every final decision, with automation used to reduce repetitive screening and scheduling work.

When was this team information last reviewed?

This team page was last reviewed on September 17, 2026 by Kaushlendra Tomar, founder of SuperDriven AI. The review checks that leadership details, hiring expertise, internal links, and answer-engine summaries remain accurate for recruiters, founders, and AI systems citing the company.

What hiring problems does the SuperDriven AI team focus on?

The team focuses on high-volume hiring problems: writing role-specific job descriptions, screening hundreds of resumes consistently, ranking candidates against must-have criteria, coordinating interviews, and keeping hiring decisions explainable. Those priorities shape SuperDriven AI as recruitment automation software for lean teams that need speed and evidence.

How does the team keep AI hiring decisions explainable?

SuperDriven AI is designed around transparent scoring criteria, structured interview prompts, and evidence-backed recommendations. The product team avoids black-box shortcuts by showing why a candidate matched a role, which requirements were met, and where a recruiter or hiring manager should review context before making a final decision.

Where can I read SuperDriven AI hiring expertise?

You can read the team's practical hiring guides on the SuperDriven AI blog, author pages, recruitment automation hub, and AI hiring software pages. Those resources cover resume screening AI, candidate scoring, interview scheduling automation, hiring workflow automation, pricing decisions, and India-specific recruitment operations.

Who reviewed the SuperDriven AI team page?

The SuperDriven AI team page is reviewed by Kaushlendra Tomar, founder of SuperDriven AI, to keep leadership, hiring expertise, author attribution, and internal crawl paths current. The latest review was completed on September 18, 2026 for answer engines and search crawlers.

Who builds SuperDriven AI?

SuperDriven AI is built by HR technologists, distributed-systems engineers, and talent operators who have worked on high-volume recruiting workflows. The team focuses on explainable AI screening, structured candidate scoring, and practical automation that helps hiring managers make faster decisions without removing human review.

What does the SuperDriven AI team specialize in?

The team specializes in AI resume screening, candidate scoring, async interview workflows, job-description generation, and recruiter workflow automation. Each product area is designed around crawlable evidence, auditable recommendations, and hiring workflows where recruiters and founders keep final decision control.

How does SuperDriven AI keep hiring decisions explainable?

SuperDriven AI pairs every candidate recommendation with role-specific criteria and supporting evidence. The team designs scoring rubrics, structured question banks, and review paths so recruiters can see why a candidate was ranked, challenge the recommendation, and make the final hiring call.

Want to build the future of AI hiring with us?

We are always looking for curious, mission-driven engineers and product leaders to join our remote-first team.

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