Aman Singh

About Aman Singh

At Quantiphi, I have driven a 40% improvement in product stability by rigorously testing and resolving critical issues, ensuring the delivery of exceptional user experiences. My strategic planning and execution of testing processes have been instrumental in achieving these results. With a Bachelor of Technology in Computer Science, my strong academic background, particularly in AI, is complemented by my Google ACE certification in Google Cloud Platform (GCP). My innovative approach to automation has reduced testing time by 70%, with a custom-built automation framework that demonstrates my deep expertise in REST APIs and software quality assurance. In addition to my proficiency in software QA, I specialize in testing large language models (LLMs), focusing on key performance metrics, embedding techniques, and multimodal capabilities. This includes comprehensive evaluations of LLM functionalities such as context handling, response quality, and model efficiency. I’ve also conducted in-depth tests to assess bias, safety, and robustness, ensuring the models adhere to the highest standards in complex, real-world applications. These contributions have been crucial to enhancing user satisfaction and optimizing AI model performance across diverse use cases. My hands-on approach extends to testing LLM integrations, fine-tuning model behavior, and validating output accuracy across multiple modalities, including text and image-based inputs. This proactive approach has enabled me to preemptively identify and resolve potential issues, ultimately reinforcing the reliability and effectiveness of AI-driven solutions.

Experience

1. Senior Test Automation Engineer

   Quantiphi

   Apr 2024 — Present · Mumbai, IN

Education

• Gl Bajaj institute of technology &management Greater noida

  Bachelor of Technology - BTech

  2017 — 2021

• RPM Academy

  Intermediate

  2015 — 2016