Introduction
When I joined Codevian, I never imagined that I would be part of a journey that would redefine recruitment technology. As an employee working on the development of our AI-based recruitment management system, I have seen firsthand how artificial intelligence, predictive analytics, and cloud-native architecture can completely change the way companies hire talent.
In this blog, I want to share our story from the inside – the challenges we faced, the solutions we built, and the impact we created. Think of this not as a press release, but as a conversation with someone who lived through the creation of Callimacus.
The Vision That Started It All
Our leadership at Codevian. had one bold vision – to build a next-generation recruitment platform that didn’t just store resumes but actually understood them. The idea was to move beyond keyword searches and traditional applicant tracking systems to something smarter, faster, and fairer.
The aim was simple but ambitious:
Use AI to reduce bias in recruitment.
Deliver a frictionless experience for both employers and job seekers.
Scale seamlessly from 10,000 users to millions.
Provide real-time analytics, predictive hiring matches, and fraud prevention.
This vision became An AI-based recruitment management system that would transform hiring into a data-driven, intelligent process.
The Early Challenges We Faced
As a developer on the project, I remember our first brainstorming sessions. We quickly realized how fragmented recruitment really was. Employers were juggling multiple platforms, candidate data was scattered everywhere, and screening was often just a manual keyword match.
Some of the key challenges included:
Fragmented candidate databases that slowed down hiring.
Keyword-based screening that often overlooked great candidates.
Performance issues when job portals faced high traffic.
Bias and inefficiencies that reduced trust in recruitment platforms.
We knew that if we wanted to make a difference, our solution had to go beyond building just another job portal. It had to be an AI-powered recruitment management system that worked at scale.
Our Approach: Building Callimacus
We adopted an Agile methodology and worked as a 12-member team – a mix of backend developers, frontend engineers, a UI/UX designer, QA experts, DevOps, and of course, our Scrum Master.
From day one, the philosophy was: make recruitment smarter, faster, and more trustworthy.
Here’s how we built the system step by step:
1. AI Recommendation Engine
One of my proudest contributions was working on the AI-driven candidate matching system. Using NLP, semantic search, and behavioral modeling, Callimacus could match candidates to jobs with a 48% improvement in relevancy compared to traditional methods.
2. Smart Candidate Search
We ensured the search engine delivered results in under 350ms query latency. Imagine searching through millions of resumes and getting relevant results instantly – that’s the power of our AI-based recruitment management system.
3. Employer Dashboard
Our UI/UX designer worked closely with recruiters to create an intuitive dashboard. Employers could post jobs, shortlist candidates automatically, schedule interviews, and get real-time insights – all in one place.
4. Candidate Experience
As a team, we didn’t want job seekers to feel lost. So, we built AI-driven resume parsing, instant job alerts, and personalized career recommendations. Candidates finally felt like the platform “understood” them.
5. Fraud Prevention
Recruitment platforms often face fake profiles and fraudulent activities. Our fraud detection engine, powered by anomaly detection and identity verification, reduced fraudulent activities by 94%.
6. Scalable Microservice Architecture
To ensure zero downtime, we used microservices for search, recommendations, notifications, and analytics. This allowed us to scale from 10K users to 800K seamlessly – and we’re confident it will handle millions in the future.
The Technology That Powered Us
Our technology stack was carefully chosen to handle scalability and AI workloads:
Frontend: ReactJS, Svelte, Turbo Repo
Backend: FastAPI (Python), Node.js, REST APIs, JWT Authentication
Databases: PostgreSQL, MongoDB, MySQL
AI & ML: AWS SageMaker, AWS Bedrock
Infrastructure & DevOps: AWS ECS, Lambda, EC2, S3, Temporal, CloudWatch
Security: AWS Cognito, IAM, JWT Authentication
As a developer, I found working with AWS SageMaker and NLP models the most exciting part. Training models that could “understand” resumes and job descriptions was like giving the system a brain.
The Results That Made Us Proud
After months of hard work, Callimacus went live. Seeing the impact was one of the most rewarding moments of my career.
Here are some of the outcomes we achieved:
48% improvement in candidate relevancy through AI-powered recommendations.
Sub-350ms search latency delivering a lightning-fast user experience.
80,000+ job seekers onboarded in just six months.
68% employer retention rate, thanks to streamlined workflows.
94% reduction in fraudulent activities, building trust in the platform.
Seamless scalability from 10K to 800K users with zero downtime.
For me personally, the biggest win was hearing from recruiters and candidates who said, “This platform feels like it was built for us.” That’s when I knew our efforts paid off.
Employee Experiences: What It Felt Like to Build AI-Based Recruitment Management System
I wasn’t the only one deeply invested in this project. Here are some reflections from my colleagues:
Our QA Engineer: “Every time we stress-tested the system with thousands of users and saw it hold strong, I felt proud. We weren’t just preventing bugs – we were ensuring trust.”
Our UI/UX Designer: “Designing the employer dashboard was challenging, but when recruiters said it saved them hours of manual work, I knew we created something meaningful.”
Our DevOps Engineer: “Scaling from thousands to hundreds of thousands without downtime was my biggest achievement. Cloud-native architecture made this possible.”
Hearing these stories, you can sense how deeply personal this project was for all of us.
The Future of Recruitment Technology
Callimacus isn’t just a product – it’s a foundation for the future of recruitment technology.
As employees at Codevian, we know that recruitment will continue to evolve. In the future, we see:
Deeper AI personalization for candidates.
Global expansion with multi-language support.
Integration with emerging HR tools and workforce analytics.
Continuous improvements in bias reduction for fair hiring.
Conclusion
Looking back, building An AI-based recruitment management system – was more than just a project. It was a shared mission to transform hiring for the better.
As employees, we not only wrote code, designed dashboards, or tested features – we helped create a smarter, fairer, and more scalable way to connect employers with talent.
For me, Codevian is proof that with the right vision, the right team, and the right technology, recruitment can be transformed forever.
– Hemal
FAQ
It’s a hiring platform that uses AI to match candidates with jobs, automate shortlisting, and improve hiring speed and accuracy.
Employers can post jobs, get AI-powered candidate matches, schedule interviews, and see real-time hiring analytics – all in one dashboard.
Yes. Callimacus uses advanced cloud security and strict compliance standards to keep all data safe.
Absolutely. It works for startups, small businesses, and large enterprises alike.
