How to Recruit Great Talents Efficiently with AI Powered Recruitment Engine


I built Talens because I was tired of how broken hiring feels when you are on the side that actually has to build and lead teams.

Before working in industry, I was a research lab team leader, responsible for selecting students and researchers who would stay with us for years. Later, as an AI Cybersecurity team leader, hiring became even more critical. A single wrong hire could slow down research, introduce security risks, or consume months of mentoring with little return.

In both roles, I was deeply involved in CV screening, interviews, and final hiring decisions. And honestly, the process was painful.

The Real Problem With CV Screening

On paper, many candidates look strong. Great universities, long skill lists, impressive tools mentioned. But after interviewing hundreds of candidates, I learned something uncomfortable.

Most CVs do not reflect real capability.

Some candidates were excellent engineers but terrible at presenting themselves. Others had very polished resumes but lacked depth, problem-solving ability, or ownership mindset. Screening CVs manually meant reading between the lines, guessing intent, and relying heavily on intuition built over years.

That intuition does not scale.

When you are hiring for research, AI, or cybersecurity roles, you are not just looking for skills. You are looking for how someone thinks, how they reason under uncertainty, and whether they can grow with the team.

Why Existing Tools Were Not Enough

I tried many existing recruitment tools and ATS platforms. Most of them focused on keywords, years of experience, or simple scoring systems. They were designed for volume hiring, not high-quality talent selection.

As a team leader, I still had to manually validate almost everything. The tools helped organize data, but they did not help me make better decisions.

That gap is the reason Talens exists.

What Talens Is Actually For

Talens is not meant to replace human judgment. It is built to support leaders who care deeply about hiring quality.

The idea is simple.

Talens helps analyze candidates beyond surface-level CV data and supports structured, consistent evaluation. It is designed for people like me who still want to read CVs, interview candidates, and make final decisions, but want better signals before investing time.

I built Talens for:

  • Research labs or small companies that cannot afford weak contributors
  • A teams where reasoning matters more than buzzwords
  • Leaders who want fairness and consistency without losing human control

Built From Real Hiring Pain

Every part of Talens comes from real situations I faced.

  • Too many CVs with no clear signal
  • Strong candidates getting filtered out too early
  • Hiring decisions influenced by fatigue or time pressure
  • Difficulty explaining why one candidate was chosen over another

Talens is my attempt to turn years of hiring experience into a system that helps leaders make calmer, more defensible, and more accurate decisions.

Still Evolving, Intentionally

Talens is not perfect, and it is not finished. It is actively evolving based on real usage and real hiring workflows. I am intentionally building it slowly and carefully because hiring affects people’s lives and team futures.

This is not just a product for me. It reflects how I believe hiring should be done.

Thoughtfully. Transparently. With respect for both the team and the candidate.

If you are a team leader, researcher, or hiring manager who has felt the same frustration, Talens was built with you in mind.

Go check it out! Talenshttps://talens.derrylab.com/


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