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Rishabh Ahuja
Full Stack Engineer | Applied Researcher | GenAI | Search & Personalization | Recommender Systems | ChatBots | HealthCare | Reinforcement Learning | NLP | Computer Vision | Graph ML | System Design | MLOps | Mentor
About
Rishabh Ahuja is an experienced Applied ML Researcher, Data Scientist, and NLP expert with over 5 years of relevant experience. He is currently working as a Senior Machine Learning Engineer at Quantiphi, where he is involved in developing and implementing AI-based solutions for healthcare, drug discovery, pathology, radiology, and precision medicine. Prior to joining Quantiphi, Rishabh worked as a Data Scientist at Accenture and Navro Technology Solutions. At Navro, he was the first employee and led the development and implementation of AI algorithms using Deep Learning and NLP. He worked on various AI-based solutions that facilitate Pharmacovigilance and improve its efficacy. He also took ownership of AI modules in several products, including YugenTriage, YugenMiner, DailyTriage, and YugenSocial. Rishabh has a Btech +Mtech Dual Degree in Computer Software Engineering from Gautam Buddha University. He is proficient in several technologies, including ML, NLP, Computer Vision, AWS, Docker, Python, Tensorflow, Pytorch, Big Data, Deep Learning, Information Retrieval, Object detection, GCP, Reinforcement Learning, Neo4j, OpenCV, Kubernetes, Pandas, Search, Flask, Mobile, NodeJS, and Java. As a mentor, Rishabh is passionate about sharing his knowledge and expertise with others. He is also interested in AI in Healthcare, Drug Discovery, Pathology, Radiology, and Precision Medicine. Rishabh is a highly motivated and results-driven individual who is always eager to learn and take on new challenges.
Education Overview
Companies Overview
• quantiphi
• accenture
• navro technology solutions
• gautam buddha university
• astrea it services
Experience Overview
8.4 Years
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Algorithms
Amazon Web Services (AWS)
analytics
API Development
Application Programming Interfaces (API)
Artificial Intelligence (AI)
AWS
Computer Vision
Customer Retention
Data Scientist
Deep Learning
Design
designer
Docker
Education
Flask
Git
Google Cloud Platform (GCP)
Healthcare
Information Retrieval
Java
Kubernetes
Machine Learning (ML)
MLOps
Mobile
Natural Language Processing (NLP)
Neo4j
NumPy
Object detection
OpenCV
Pandas
Pandas (Software)
pyspark
Python
Pytorch
recommender systems
Reinforcement Learning
Research
Research Scientist
Sales
Search
social media
System Design
Tensorflow
test
testing
Unit Testing
User Acquisition
Vision
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