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Assessing your cultural and operational fit
Full Stack Engineer with a Passion for Machine Learning: Building the Future of Tech
17 of hands-on experience in the IT industry. I have a strong background in the design, development, and implementation of complex and distributed software systems. Proficient in designing and developing microservices using modern frameworks and technologies, ensuring scalability, fault tolerance, and maintainability. Besides having software development experience, I have also a good background and experience in Machine learning, Deep Learning, NLP, Chatbot, and Automation. Knowledgeable in setting up CI/CD pipelines and infrastructure as code to automate the deployment and maintenance of software systems. I have 3 papers in top-tier conferences and hold 3 IBM patents.
Rajiv Gandhi Prodyogiki Vishwavidyalaya
B.E., Electronics and Telecommunication
January 1, 2002 – January 1, 2006
R C School
Science, Physics,Chemistry and Mathematics
January 1, 1991 – January 1, 2002
Oracle
Consulting Member Of Technical Staff
December 1, 2019 – Present
Bengaluru, Karnataka, India
IBM
Machine Learning and Automation Specialist
October 1, 2016 – December 1, 2019
Bengaluru, Karnataka, India
Alcatel-Lucent
Lead Engineer
January 1, 2012 – May 1, 2012
Alcatel-Lucent
Lead Engineer
May 1, 2011 – December 1, 2011
Alcatel-Lucent
Lead Engineer
August 1, 2010 – January 1, 2014
Wipro Infotech Ltd
Sr. Software Engineer
July 1, 2009 – September 1, 2010
Noida, Uttar Pradesh, India
Wipro Infotech Ltd
Senior Engineer
March 1, 2008 – June 1, 2009
Noida, Uttar Pradesh, India
Tech Mahindra
Technical Associate
June 1, 2006 – March 1, 2008
Noida
Natural Language Processing nanodegree program
Udacity
June 24, 2026 – Present
Machine Learning
Coursera.org
June 24, 2026 – Present
Nikhil Malhotra
IBM
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
IBM Services Platform with Watson
IBM
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera.org
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning telecommunications, enterprise software, and AI/ML, working for large multinational corporations. This breadth of experience suggests adaptability to different organizational cultures and project types. However, the target role is 'Quality Assurance Engineer', and while the candidate has experience in testing (Comptel Fulfilment solution testing), the recent roles are more focused on development, consulting, and automation/ML. This might indicate a potential mismatch with a pure QA role, depending on the specific expectations of the QA position (e.g., manual vs. automated, performance, security QA). The lack of explicit QA-focused projects or skills in recent roles could be a gap.
Soft Skills & Operational Fit
The candidate's resume indicates a history of working on complex projects with significant impact (e.g., cost savings through automation). This suggests a problem-solving mindset and a focus on operational efficiency. The diverse project experience implies adaptability, which is a valuable soft skill. However, without psychometric test results, a definitive assessment of work attitude, stress handling, and team collaboration is not possible.