Amit Binjola — AI Researcher

With 5+ years of experience in deep tech with deep focus on fraud detection and AML, I specialize in building scalable, high-performance data pipelines and advanced AI/ML solutions. My expertise spans graph-based models, big data, and machine learning, where I've designed and deployed solutions that have saved millions by detecting and preventing fraud in UPI and IMPS ecosystems. I’ve worked extensively with SQL, PySpark, Python, and Kubeflow, deploying models into high-priority production environments. Some of my key accomplishments include: • Leading the development of graph ML models for fraud detection, saving over $1.28M. • Automating training/testing pipelines using Kubeflow, reducing manual effort by 90% and improving efficiency. • Developing anomaly detection models and optimizing model retraining strategies for complex data environments. I hold an AWS Certified Cloud Practitioner (CLF-C01) certification, as well as multiple certifications in Python (Hackerrank 4⭐), SQL (Hackerrank 5⭐), Spark, and Git. I’ve also been awarded the Ninja Coding Level Award at NPCI for delivering innovative solutions under pressure. Passionate about AI, data engineering, and fraud prevention, I thrive at the intersection of cutting-edge technologies and real-world impact. I’m always eager to connect with professionals and explore opportunities to create smarter, safer financial solutions.

Stackforce AI infers this person is a Fintech expert specializing in fraud detection and scalable AI solutions.

Location: Hyderabad, Telangana, India

Experience: 5 yrs 4 mos