Abhyudaya Apoorva

Software Engineer

Navi Mumbai, Maharashtra, India2 yrs 4 mos experience

Highly Stable

Key Highlights

Stackforce AI infers this person is a Machine Learning Engineer with a focus on image processing and natural language processing.

JavaSpring BootMachine LearningPythonNatural Language Processing

gRPCDeep Neural Networks (DNN)TensorFlowPyTorchC++Data StructuresAlgorithmsGo (Programming Language)JavaScriptSQLQuantum Computing

Machine Learning Enthusiast, Software Engineer and a Competitive Programmer

2 yrs 4 mos

Total Experience

2 yrs 4 mos

Average Tenure

2 yrs 4 mos

Current Experience

Jan 2024 – Present · 2 yrs 4 mos · Bengaluru, Karnataka, India · Remote

As part of the IM B2B team, migrated and deprecated the inventory and pricing ingestion flows for SKUs to the correct domain. This reduced the DAX r/w throughput from 500k to 0 as well as the coupling between different domains thus bringing significant cost improvements
Streamlined the syncing of images for an SKU to a third-party service and deprecated lambdas responsible for the syncing. This led to process simplification for the operations team

gRPCJavaSpring Boot

Jan 2023 – Jul 2023 · 6 mos · Mumbai, Maharashtra, India · Hybrid

Researched and contributed to JPEG Tampering detector using statistical methods like Double Quantization effect which focuses on compression artifacts caused by repeated compression of an image.
Built a fake text detector model with Laplacian Analysis that helped in highlighting anomalies in images caused by text forgery
Customised YOLOv8’s pose model for detecting keypoints in documents. Achieved mAP Bbox score of 98.02% and mAP Pose score of 99.33% with an inference time below 10ms

Machine LearningPythonDeep Neural Networks (DNN)TensorFlowPyTorch

Jul 2022 – Aug 2022 · 1 mo · Remote

May 2022 – Jul 2022 · 2 mos · Pune, Maharashtra, India

Leveraged Natural Language Processing methods to automate the extraction of obligations from a regulatory text
Fine tuned BERT ( Bidirectional Encoder Representations from Transformers ) model for Next Sentence Prediction Task which helped in identifying extensions of an obligation

Natural Language ProcessingMachine LearningPython