Sharmen Rajendran

Sharmen Rajendran is Affinda’s Sales Director for Resume Parser, where he helps job boards, ATS providers and HR SaaS companies use AI to improve how they parse resumes and match candidates to roles. With a PhD in Chemical Engineering and experience across several industries, he brings a strong technical and commercial lens to Affinda. Sharmen works closely with product and customer success teams to keep the solution market-leading and ensure customer needs are met quickly. Based in Melbourne, he supports customers across global time zones and has played a key role in the product’s growth since its launch in 2021.

Whilst AI is taking over the world, I help companies leverage this to improve their hiring tech stack.

Resume parsing

Educating customers on the various options available and why our solution is the most accurate in the market.

Matching algorithms

Affinda has spent considerable time fine-tuning the matching algorithm to ensure that the best candidates are shortlisted for jobs while also curating a list of suitable jobs for a given candidate.

Supporting customers

Ensuring the customers feel supported from day one is my passion, and I work with cross-functional teams to deliver the required outcomes and enhancements that our customers request.

How does resume parsing work? Inside the technology that’s transforming recruitment

Discover how resume parsing works and why it's this technology that top recruiters are demanding from their HR software now.

What is OCR resume scanning? Understanding how AI reads and parses CV

Still relying on manual resume processing? Discover how OCR and AI resume scanning turn PDFs into structured data for faster and smarter recruiting.

Meet Affinda’s resume parser AI: free to try, fast to deploy

Test Affinda’s resume parser AI for free. It’s fast, accurate and built for scale – perfect for HR tech and platforms, ATS providers and job boards.

How to parse resumes in Python (and when to level up to Affinda)

A practical guide for recruitment platforms, HR tech teams and ATS developers exploring scalable approaches to resume parsing with Python.

How resume parsing benefits human resources and hiring teams

Manual resume reviews slow down every HR workflow, and no one enjoys the extra data entry that often comes with them.

How an AI resume parser is your key to unlocking a competitive advantage

Find out how an AI resume parser can unlock a competitive advantage for your recruitment technology. Improve your accuracy, consistency and speed.

How to build a resume parser vs buy one: a practical guide for ATS teams

Build or buy? Learn how to build a resume parser for your ATS, what it really takes and why proven, off-the-shelf options often win on time-to-value and accuracy.

Discover the platform

Extract any information from any document and integrate it easily with your existing systems. Find out how.

See pricing, plain and simple

No up-front costs. No lock-in contracts. Just pay for what you use.