Ritesh Maurya
AI Engineer at Quantal AI
Mumbai, Maharashtra, India
Summary
👤
Senior🎓
Top SchoolRitesh Maurya is an AI Engineer with 8 years of hands-on experience building real-world AI and data-driven products, from AI-powered financial advisors to full-stack digital marketing tools that leverage LLMs and automation. Based in Mumbai and trained in Artificial Intelligence and Data Science, he blends agentic AI, multimodal systems, and full-stack development to turn research ideas into production-ready solutions. His recent roles span AI engineering and full-stack development, with internships that reflect a steady focus on ML/AI application and deployment. Ritesh is currently exploring LLMs and AI agents at Quantal AI while maintaining a practical, product-first mindset. Notably, he pairs strong academic performance with a preference for solving cross-disciplinary problems that sit at the intersection of models, data pipelines, and user-facing systems. Open to collaborations and roles across AI/ML, Data Science, and Full Stack where impact and iteration matter.
9 years of coding experience
Bachelor of Engineering - BE, Artificial intelligence and Data science, 8.88, Bachelor of Engineering - BE, Artificial intelligence and Data science, 8.88 at MCT's Rajiv Gandhi Institute Of Technology
Github Skills (120)
pytesseract10
opencv10
python10
image-processing10
deep-learning10
face10
django10
ai10
face-recognition10
computer-vision10
detector10
tensorflow10
keras-tensorflow10
face-detection10
speech-to-text10
Programming languages (12)
Github contributions (5)
MauryaRitesh/Facial-Expression-Detection-V2
Mar 2019 - Dec 2021
Facial Expression or Facial Emotion Detector can be used to know whether a person is sad, happy, angry and so on only through his/her face. This Repository can be used to carry out such a task.
Contributions:14 commits, 13 pushes, 1 branch in 2 years 9 months
deep-learningface-detectionface-recognitionaikeras-tensorflow
MauryaRitesh/Facial-Expression-Detection
Jun 2018 - Mar 2022
Facial Expression or Facial Emotion Detector can be used to know whether a person is sad, happy, angry and so on only through his/her face. This Repository can be used to carry out such a task.
Contributions:14 commits, 9 PRs, 20 pushes in 3 years 10 months
hisemotionpersondeep-learningdetector
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