Shiva Nunemunthala

Product Engineer

Bengaluru, Karnataka, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Stackforce AI infers this person is a skilled software engineer specializing in AI and data engineering within the healthcare and fintech sectors.

Computer VisionMachine LearningMicroservicesSoftware EngineeringData Engineering

AWSC++Convex OptimizationData PipelineElastic Stack (ELK)Explainable AIHibernateHornetQJavaLinuxMATLABMySQLOptions theoryPandas (Software)PySpark

0 mo

Total Experience

Average Tenure

Current Experience

Jun 2025 – Present · 11 mos

Advisor: Dr. Nagendra Kumar
1) Developed a novel image segmentation architecture by integrating parallel ConvNeXtV2 and Atrous-Mamba blocks,
improving contextual modeling and capturing long-range dependencies.
2) Optimized the SSM-based VSSLayer module as a replacement for conventional convolution blocks, enhancing model
efficiency and generalization in segmentation tasks.
3) Working on neural collapse in segmentation tasks.

Computer VisionPyTorchConvex OptimizationStochastic ProcessesMachine Learning

Jun 2023 – Present · 2 yrs 11 mos · Bengaluru, Karnataka, India · On-site

JavaSpring BootMicroservicesAWSSoftware Engineering

Sep 2022 – Nov 2022 · 2 mos

Advisor: Prof. Kapil Ahuja
1) Working on XAI for TIRADS based thyroid nodule classification using texture exploiting descriptors.
2) Implemented custom Local interpretable Model-Agnostic Explanations to explain model
3) Worked on SHapley Additive exPlainations , Grad-CAM and few other model agnostic explanations.

Explainable AIMachine Learning

Jan 2022 – Jun 2022 · 5 mos · Bengaluru, Karnataka, India

1)Studied basic options theory and built analysis tools for combinations of options
2)Implemented data pipeline for transforming and enhancing real time market data
3)Created metrics to provide insights into trader performance and qualities such as trader aggression towards market and panic selling
4)Designed real time hedge matching algorithm for generic trade books

Options theoryData PipelineReal-time Data ProcessingData Engineering