Prashant Maya

Software Engineer

New Delhi, Delhi, India4 yrs 11 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Achieved 84% reduction in geospatial data processing time.
Engineered offline-first healthcare solutions for low-connectivity regions.
Integrated AI models for enhanced diagnostic workflows.

Stackforce AI infers this person is a Healthcare-focused Software Engineer with expertise in geospatial data and AI-driven solutions.

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Skills

Core Skills

React NativeAi InferenceAi Image AnalysisGeospatial Data EngineeringDjangoHr Management Systems

Other Skills

AWS LambdaAlgorithm DesignAlgorithmsAmazon DynamodbAmazon EC2Amazon Relational Database Service (RDS)Amazon Web Services (AWS)Automated workflowsBootstrapC (Programming Language)C++CI/CDCascading Style Sheets (CSS)Centralized data managementData Structures

About

Wadhwani AI leverages their expertise in geospatial data engineering and software development to optimize public health solutions. Leading a pipeline redesign for tuberculosis vulnerability mapping, they enabled an 84% reduction in geospatial data processing time, enhancing disease detection accuracy. Their work incorporates advanced resampling techniques and custom aggregation methods to refine hotspot identification. With a Computer Science degree from ICFAI University Jaipur, they bring a strong foundation in computer science to their impactful projects. Their skills in GIS, TypeScript, and predictive modeling support healthcare innovation and workflow automation. Committed to societal impact, they aim to bridge technology and healthcare for transformative outcomes.

Experience

4 yrs 11 mos

Total Experience

2 yrs 5 mos

Average Tenure

3 yrs 8 mos

Current Experience

Wadhwani ai

2 roles

Software Development Engineer II

Jul 2024 – Present · 1 yr 11 mos · On-site

Offline AI Integration & Healthcare Applications (TB-CaTB, AI-Derm)
Delivered intelligent, offline-first healthcare solutions enhancing accessibility for millions across low-connectivity regions.
Engineered a React Native offline-first system for TB-CaTB, serving 1M+ TB patients, implementing AI inference directly on-device using the Singleton design pattern for seamless operation without internet dependency.
Integrated Qure AI’s DICOM model for automated X-ray interpretation and diagnostic workflow automation, cutting turnaround time significantly.
Developed an offline-compatible PWA for dermatologists at AIIMS Delhi to classify skin disorders using AI-powered image analysis, processing 50K+ patient scans with local inference via IndexedDB and secure on-device data handling.
Deployed at scale using GCP, Docker, CI/CD pipelines, ensuring stability and HIPAA-compliant processing.

React NativeAI inferenceGCPDockerCI/CD

Software Development Engineer I

Oct 2022 – Jul 2024 · 1 yr 9 mos · On-site

Geospatial Data Engineering (TB-ACF, TB-LFU programs)
Optimized national-level TB program data systems for accurate disease detection and improved medical intervention speed.
Spearheaded redesign of geospatial data pipelines using Rasterio, GeoPandas, Matplotlib, cutting data processing time from 52 to 8 hours (84% reduction).
Created custom resampling and interpolation algorithms for heterogeneous spatial datasets, strengthening TB hotspot accuracy across large geographic zones.
Designed the backend infrastructure for the TB-LFU tracking platform, enhancing performance by reducing API response time by 60% through Django/PostgreSQL optimizations.

RasterioGeoPandasMatplotlibDjangoPostgreSQLGeospatial Data Engineering

Simplior technologies

2 roles

Software Development Engineer

Dec 2021 – Oct 2022 · 10 mos

Led development of end-to-end HRMS solution featuring employee management, attendance tracking, leave management, and OKR systems. Streamlined HR operations through automated workflows and centralized data management.
Architected and deployed comprehensive HR modules including time tracking, one-on-ones, and performance management tools. Improved organizational efficiency by 40% through process automation and intuitive interfaces.

HRMSAutomated workflowsCentralized data managementHR Management Systems