Abhijit Jadhav is a Senior Software Engineer specializing in Java and AWS with eight years of experience building high-performance solutions for banking and fintech. He has driven measurable performance gains—multiplied throughput for Kinesis-based systems and optimized Glue/PySpark ETL jobs—while contributing patents and publishing best-practice guides on DynamoDB and PySpark. Comfortable across the full stack, he has delivered latency-sensitive Spring Boot microservices, automated CI/CD and Confluence workflows, and implemented cross-account and multi-region AWS patterns. An open-source-minded developer and AI enthusiast, he built a deepfake-detection project combining ResNeXt and LSTM with Django front-end and Dockerized deployment. Known for cross-functional leadership and operational pragmatism, he blends hands-on coding with platform design to ship scalable, cost-conscious systems.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, 9.80, Bachelor of Technology - BTech, Computer Science, 9.80 at G.H. Raisoni Societys, College of Engineering and Management,Pune
All India Senior School Certificate Examination, All India Senior School Certificate Examination at Army Public School (APS)
This projects aims in detection of video deepfakes using deep learning techniques like RestNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained RestNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features. For more details follow the documentaion.
Role in this project:
Full-stack Developer
Contributions:1 review, 68 commits, 10 PRs in 1 year 10 months
Contributions summary:Abhijit primarily contributed to the Django application aspect of the project. Their work included adding a Django application with initial templates, which suggests UI development. The commits also show changes related to the project's settings and Dockerization, indicating involvement in backend configurations and deployment. They also added more comments, suggesting improved maintainability.
Contributions:6 commits, 5 pushes, 1 branch in 1 year 1 month
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Abhijit Jadhav - Senior Software Engineer - AWS at ICE