AI is transforming industrial robotics in many exciting ways. It’s allowing robots to become smarter, more adaptable, and more efficient by enabling them to learn from data and optimize their performance without human intervention. In the context of testing, AI can significantly impact how we approach test automation, particularly with the increased complexity of modern systems, says Anuja Ganorkar, Testing Engineer, Comau in an interview with EVolution Auto India.

Q: Tell us a bit about your journey and accomplishments so far.
Anuja Ganorkar: I have had the privilege of working in software testing for over nine years, with a focus on manual, automation, and regression testing. My career began after I completed my Masters in Computer Application, and I started at Syntel Pvt. Ltd., where I got hands-on experience in both manual and automated testing, helping to solidify my understanding of Software Quality Assurance (QA). I moved on to Comau’s Digital Factory in 2019, where I now work as a Senior Software Tester. My role involves leading test strategy development, optimizing test automation frameworks, and managing testing processes for our cutting-edge automation and robotics systems. I’m proud to say that my work contributes to the efficiency, reliability, and overall quality of Comau’s systems, making them more robust before deployment.
One of my proudest accomplishments has been the opportunity to mentor my team and help them grow professionally. It’s fulfilling to see my team members succeed and feel empowered in their roles, just as I was empowered early on in my career.
Q: What initially drew you to engineering and, specifically, industrial robotics? Did you always envision a career in STEM?
Anuja Ganorkar: I have always been fascinated by technology and problem-solving. My passion for engineering and technology grew during my time in college, where I studied Computer Science and later pursued an Masters in Computer Application. What initially drew me to software testing was the challenge of ensuring systems work as intended, as well as the satisfaction of improving processes and products. As I advanced in my career, I found myself increasingly intrigued by automation and industrial robotics because of their transformative potential across industries. I didn’t necessarily foresee a career in robotics early on, but as I became more involved in the tech field, I found the idea of improving and optimizing complex systems especially in the context of robotics extremely compelling.
Q: As a woman in a highly technical and traditionally male-dominated field, what have been some of your biggest challenges and how did you overcome them?
Anuja Ganorkar: One of the challenges I have faced, like many women in STEM, is navigating environments where I may have been one of the few, or sometimes the only, woman in the room. This can sometimes create feelings of isolation, and it requires an extra level of resilience and determination to keep pushing forward. However, I have always viewed these challenges as opportunities to prove myself and demonstrate the value I bring to the table. Over the years, I have leaned into my passion for learning, problem-solving, and my leadership role to build credibility and foster an inclusive environment.
Additionally, as a Senior Software Tester, leading a team and collaborating with diverse groups has given me the chance to inspire other women in my field and show them that there’s a place for them in tech. Building a support system with mentors and colleagues both men and women has been key in overcoming obstacles and staying motivated.
Q: According to the House of Lords Library, women represent just 26% of the STEM workforce in India. What are some cultural or systemic changes you think the robotics or automation industry needs to better support and retain women?
Anuja Ganorkar: I believe that the key to improving representation of women in robotics and automation lies in creating a more inclusive and supportive work environment. There are a few systemic changes that could help:
- Mentorship and Sponsorship Programs: These programs are invaluable in helping women advance their careers. Having mentors who can provide guidance and sponsors who advocate for you can make a huge difference in career growth.
- Flexible Work Arrangements: Work-life balance is crucial. Providing flexibility in working hours and remote working options could help women manage both career and family responsibilities, particularly for those with young children.
- Focus on Education and Awareness: From an early stage, we need to encourage young girls to pursue STEM. As women, we need to not only show up in these industries but also actively advocate for others to join, through speaking engagements, internships, and collaborations with educational institutions.
- Encouraging Confidence and Visibility: Women need to be made more visible in leadership roles. It’s critical to create more platforms for women to speak about their achievements and contributions to these fields, which in turn helps inspire others.
Q: You would soon be completing an advanced training program in AI and Data Science. According to you, how is AI currently transforming the field of industrial robotics, and how can it impact your work as a Senior Software Tester?
Anuja Ganorkar: AI is transforming industrial robotics in many exciting ways. It’s allowing robots to become smarter, more adaptable, and more efficient by enabling them to learn from data and optimize their performance without human intervention. In the context of testing, AI can significantly impact how we approach test automation, particularly with the increased complexity of modern systems. AI-driven tools can automate test cases with greater precision, predict system behavior, and even suggest areas of improvement in the codebase.
As a Senior Software Tester, my upcoming training in AI and Data Science will help me understand and leverage AI in refining test automation frameworks and identifying performance bottlenecks. Additionally, it will allow me to dive deeper into root cause analysis and anomaly detection, ultimately improving the efficiency and accuracy of the testing process.
Q: What skills do you believe women entering engineering roles should develop to stay competitive in a future shaped by AI and big data?
Anuja Ganorkar: Women entering engineering should focus on building a strong foundation in both technical and soft skills. Here are some key skills to develop:
- Technical Expertise: A strong grasp of coding languages, AI/ML concepts, data analysis, and automation frameworks will be crucial in the future.
- Adaptability and Continuous Learning: The tech field evolves quickly, and staying updated with the latest trends in AI, big data, and automation is essential. Being open to learning new skills and tools will make you more competitive.
- Problem-Solving and Critical Thinking: These are essential skills in every aspect of engineering. Being able to break down complex problems and come up with creative solutions is key to excelling in any field.
- Communication and Leadership Skills: As you advance in your career, being able to collaborate, mentor, and communicate effectively with cross-functional teams becomes increasingly important.
- Confidence: Women in engineering need to believe in their capabilities and assert themselves in the workplace. Confidence in presenting ideas and seeking leadership roles is crucial.
Q: What would you say to young girls or women who are interested in STEM but may be intimidated by the lack of female representation?
Anuja Ganorkar: I would tell them not to be discouraged by the lack of visible representation. While it’s true that women are underrepresented in STEM fields, the opportunities are vast, and the field is more welcoming than ever. The key is persistence – continue learning, stay curious, and find communities of like-minded individuals who can support you along the way. Seek out mentors, both male and female, who can guide you in your journey. Most importantly, don’t let the lack of female role models stop you. You can be that role model for others in the future!