Ideas2IT Technologies

Product Consultant

Responsible for E2E QA Activities from Requirement Gathering to Deployment.

Performed White-box, black-box and grey-box testing.

Effectively worked with Geographically distributed Scrum Team and achieved zero defect slippage to production.

Product Owner

Wisibl

Wisibl (Pivoted 2025) is the contextual memory layer for product teams.
We turn scattered conversations into living memory — capturing decisions, risks, and context so nothing is lost or re-explained. Unlike note-taking tools that summarize meetings, Wisibl creates a unified context library, keeps documentation fresh with one click, and makes every decision traceable.

The result: Product Managers save ~20 hours a month, teams cut meetings by 25%, and everyone stays aligned without repeating the same discussions.

Co-Founder - Product, Tech and Marketing

Go See Talents

Helped the businesses to implement QA processes to catch the defects earlier in the development cycle.

Enabled the clients to effectively automate at least 80% of the test cases while adhering to the guidelines set by the client.

Learnt many new things from some of the best industry experts.

Senior Consultant

Fortum

Software Development Engineer In Test

Ondot Systems, Inc.

✔	Leading the complete automation project which includes Responsive Web Design (RWD), Web, Rest API and Platform Automation. 
✔     Developed the automation framework from scratch. Integrated the QA Process right from the requirement phase till the deployment phase.
✔	Solved the automation solution for the financial institutions. Maintained Test cases using TestLink and managed defects using Jira. 
✔     Responsible for setting up and maintaining Test Environments and Jenkins jobs.

Product and Tech

JCPenney

✔ Developed and maintained both UI and REST API automation suites of highly transactional web application developed based on the principles of Microservices. 
✔ Operated from Texas, USA and successfully coordinated a major rewards release which resulted in $59m profit to the company.
✔ Trained manual testers on SQL, SOA, Java, Full Stack Automation and QMetry framework.
✔ Developed an application to implement Gamification across organization which helped the scrum teams to achieve 100% Jira compliance.
✔  Prioritized Test cases based on the Analytics report which resulted in zero major production defects.

Engineer 2

✔	Leading a team of 5 members and work in close coordination with diverse team of business users and technology group to enable accurate communication of requirements to ensure the project release in a biweekly release cycle.
✔	Setup the source code in local using IntelliJ and ran the service automation scripts against local host to avoid time slippage in the product delivery.
✔	Code Reviewer for the entire scrum team

Engineer 1

shaRead - Share & Read

✔	Co-founded the startup which focused on book-sharing on demand. 
✔	Managed the complete development and deployment process. 
✔	Created and executed the Marketing Strategy. 
✔	Managed Finance and Budgeting. 
✔	Implemented the Lean methodologies. 
✔	Performed extensive Market research. 
✔	Initial version had more than 1000 downloads

Co-founder (Part time)

Infosys

✔	Proactively automated the service using UFT which brought down the execution time of 100 test cases from 8 days to 4 hours
✔	Responsible for requirement gathering, Test Case preparation, Test execution and managing defect life cycle. 
✔	Verified the service side of the pricing system using SOAP UI.
✔	Involved in the automation of Pricing UI using Selenium.
✔	Primary point of contact for the ALM compliance

Test Engineer

Relationship Science

✔ Market Research on targeted industry, services, titles and technology data. 
✔ Worked as a Quality Controller for the Linking database.

Research Associate

I'm Chitrakannan. I'm the person who makes tech and marketing work well together in product management.

Career Snapshots:

- Helped grow a company from $32M to $100M. It was all about smart moves and cool strategies.
- Took a startup from the ground up to a remarkable $270 million acquisition.
- Entered the startup world, built 3 products, launched 2 businesses, and learned a ton.
- Started in QA, where I learned that the little things do make a big difference.

Cool Projects I've Worked On: 

- ShaRead: It's like a matchmaking app but for book lovers.
- RentYourBag: Marketplace to rent out extra space in your suitcase
- Wisibl: What began as a marketplace to hire influencers became a must-have tool for content creators.

What I Believe:

- No matter what you do, you should know sales.
- Great work happens when people work together.
- Work to create a real impact

What I'm Up To Now:

- Juggling life as an entrepreneur, product nerd, and tech enthusiast.
- Building Wisibl
- Always coming up with new ideas and keen to share them.

Want to Chat? 

If you're into tech, marketing, or just like swapping cool ideas, let's talk. I'm all for sharing stories and a good laugh!

Chitrakannan Balasubramanian

The first 100$ is brutal.

1,000 feels worse.
10,000 is still a grind.
100,000 starts making sense.
1 million gets predictable.
10 million becomes a system.

If you don’t have the clarity to earn your first 100, forget the bigger numbers.

Know where your first 100 is coming from and how you’ll get it.

The scale changes, but the discipline doesn’t.

Building Wisibl | Contextual Memory for Product Teams

Product teams lose around $10,000 per employee every year to misalignment, rework, and poor communication.

Since 2020, meetings and internal messages have exploded, and most teams are drowning in information overload.

If you’re a Product Manager, you live this every day.

Hours spent in meetings, re-explaining the product to Sales, Marketing, CS, and Engineering.

You end up carrying the context for everyone, and one small misunderstanding can trigger a chain of avoidable rework.

It’s rarely the big bets that slow teams down. It’s the silent cost of misalignment.

If you’ve seen this pattern, how are you solving it today?

#wisibl

Every user behaves differently. It’s time your product did too.

SaaS scaled sameness. AI will scale uniqueness.

Traditional SaaS built one solution and sold it to everyone. 

But today’s users expect products that learn them, not the other way around.

They want tools that adapt, not templates they must adapt to.

If you’re building SaaS now, don’t generalize.

Personalize.

AI has made execution feel almost effortless.

You can spin up ideas, test things, rewrite flows, and ship updates faster than you ever could before.

And that’s exactly why perfection is a trap now.

When you can move this fast, polishing becomes a way to hide from reality.
Feedback is what actually helps you get better.

Real people using the thing. Real reactions. Real conversations.

If you’re working in the AI era, use your speed to learn more, not to obsess more.

AI didn’t make product building easier. It made the old rules useless.

Building a product in the pre AI era was simple. You designed a workflow and controlled every input and output.

AI breaks that comfort. You control the user actions and inputs, but the output won’t obey you fully.

If you want to build a meaningful AI product, design for unpredictability. Treat AI as a collaborator, not a component. 

Give it the right context, constraints and feedback loops so it stays on track.

You’re no longer engineering a workflow, you’re engineering behavior. 

AI products aren’t built by tightening control. They’re built by shaping intelligence.

What we eliminate is as important as what we gather.

We often prioritize adding new strategies, tools, and processes to improve.

However, in every aspect of business, cutting out redundant processes, outdated practices, and inefficiencies is just as crucial.

Especially now in the AI era, we can cut down at least 30% of the clutter.

This also makes our efforts more effective and impactful.

Innovation and simplification should be in balance.

Sonata Software

Digital Architect

Encore Software Services, Inc.

Lead QA Analyst

Senior QA Analyst

QA Analyst

Shinelogics Infotech

Software Test Engineer

Leadership and Management:
•	Team Leadership: Lead and mentor a team of QA engineers, providing guidance and support.
•	Resource Management: Allocate resources effectively based on project requirements and timelines.
•	Collaboration: Foster collaboration between QA, development, and other cross-functional teams.
Strategy and Planning:
•	Test Strategy: Develop and implement a comprehensive test strategy for API testing.
•	Test Planning: Create detailed test plans outlining the scope, approach, resources, and schedule.
•	Risk Assessment: Identify potential risks and plan mitigation strategies.
Testing Process:
•	Test Case Design: Oversee the creation of detailed and effective test cases for API testing.
•	Automation: Drive the automation strategy for API testing to improve efficiency.
•	Execution and Monitoring: Oversee the execution of test cases and monitor test results.
•	Regression Testing: Ensure robust regression testing processes are in place.
Quality Assurance:
•	Quality Standards: Establish and enforce quality standards for API development and testing.
•	Defect Tracking: Implement effective defect tracking and management processes.
•	Root Cause Analysis: Lead investigations into the root causes of defects and issues.
Continuous Improvement:
•	Process Improvement: Identify areas for process improvement and implement changes.
•	Training and Development: Provide training and development opportunities for the QA team.
•	Best Practices: Promote and enforce best practices in API testing.
Documentation:
•	Documentation Standards: Define and enforce documentation standards for test cases, test plans, and other QA artifacts.
•	Knowledge Sharing: Encourage knowledge sharing within the QA team and with other relevant teams.
Performance Metrics:
•	Metrics Tracking: Define and track key performance metrics for the QA team.
•	Reporting: Generate regular reports on testing progress, defects, and overall product quality.

Very Strong Knowledge of API testing using POSTMAN and API Automation using NodeJS 
Strong Knowledge in Selenium web driver, SELENIUM IDE.
Strong in SDLC, STLC, and Bug Life Cycle.
Knowledge on Test Plan, Traceability Matrix.
Knowledge of writing, reviewing, executing Test Cases.
Very good knowledge on Functional, Integration, and System Testing.
Very good knowledge on Smoke, Regression, Compatibility and various other types of Testing.
Good knowledge in core Java.

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