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I am a Software Engineer with a strong track record building production-grade systems across frontend, backend, and data infrastructure. I enjoy turning ambiguous problems into scalable, user-friendly solutions, leveraging Python, TypeScript/JS, Scala, C++, Java, and SQL, and applying frameworks like ReactJS, Node.js, Spark, and Django. Recently I have focused on working with large language models, retrieval-augmented generation, and AI agents to deliver scalable, intelligent experiences for developers and users. I value collaboration across teams to design robust data pipelines, optimize performance, and ship delightful features.…I am a Software Engineer with a strong track record building production-grade systems across frontend, backend, and data infrastructure. I enjoy turning ambiguous problems into scalable, user-friendly solutions, leveraging Python, TypeScript/JS, Scala, C++, Java, and SQL, and applying frameworks like ReactJS, Node.js, Spark, and Django. Recently I have focused on working with large language models, retrieval-augmented generation, and AI agents to deliver scalable, intelligent experiences for developers and users. I value collaboration across teams to design robust data pipelines, optimize performance, and ship delightful features.

Sai Sreekar Sarvepalli

Full Stack Developer, Web Developer, Front-End Developer, +2

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I am a Software Engineer with a strong track record building production-grade systems across frontend, backend, and data infrastructure. I enjoy turning ambiguous problems into scalable, user-friendly solutions, leveraging Python, TypeScript/JS, Scala, C++, Java, and SQL, and applying frameworks like ReactJS, Node.js, Spark, and Django. Recently I have focused on working with large language models, retrieval-augmented generation, and AI agents to deliver scalable, intelligent experiences for developers and users. I value collaboration across teams to design robust data pipelines, optimize performance, and ship delightful features.…I am a Software Engineer with a strong track record building production-grade systems across frontend, backend, and data infrastructure. I enjoy turning ambiguous problems into scalable, user-friendly solutions, leveraging Python, TypeScript/JS, Scala, C++, Java, and SQL, and applying frameworks like ReactJS, Node.js, Spark, and Django. Recently I have focused on working with large language models, retrieval-augmented generation, and AI agents to deliver scalable, intelligent experiences for developers and users. I value collaboration across teams to design robust data pipelines, optimize performance, and ship delightful features.

Available to hire

I am a Software Engineer with a strong track record building production-grade systems across frontend, backend, and data infrastructure. I enjoy turning ambiguous problems into scalable, user-friendly solutions, leveraging Python, TypeScript/JS, Scala, C++, Java, and SQL, and applying frameworks like ReactJS, Node.js, Spark, and Django.

Recently I have focused on working with large language models, retrieval-augmented generation, and AI agents to deliver scalable, intelligent experiences for developers and users. I value collaboration across teams to design robust data pipelines, optimize performance, and ship delightful features.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

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Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Javanese

Advanced

Work Experience

SOFTWARE ENGINEER at SHIF A PRECISION

August 1, 2025 - Present

Owning the backend development for a proactive wellness engine that uses a knowledge graph to generate detailed health reports. Built secure and scalable data pipelines to unify biomedical data into a knowledge graph with over 1M+ nodes and 10M+ relationships. Implemented an AI-driven backend featuring LLMs for automated data extraction and report generation.

SOFTWARE ENGINEER at MAPSOL GEOSP ATIAL SOLUTIONS INC.

August 1, 2025 - October 8, 2025

Contributed to a live geospatial visualization platform on AWS using Angular with TypeScript, optimizing frontend performance and user experience. Architected end-to-end AWS-based data pipeline for raster tile rendering (S3, Step Functions, Spark with BEAST libraries) and MongoDB, enabling scalable ingestion, processing, and visualization of multi-GB geospatial datasets. Implemented an intelligent popup placement algorithm that increases user retention by 30% by positioning popups in empty screen regions based on click coordinates and dataset geometry.

STUDENT RESEARCHER at UCR BIG DATA LAB

March 1, 2025 - October 8, 2025

Built and optimized interactive geospatial visualization features using React, JavaScript, and OpenLayers. Expanded the BEAST platform with Scala-based APIs to streamline geospatial data indexing and accelerate query retrieval. Refactored large Spark pipelines from SpatialRDDs to the DataFrame API, achieving a ~50% reduction in processing time. Developed AI-driven data aggregation layers for complex geospatial queries, improving retrieval accuracy and system performance. Built microservices and custom APIs for geospatial data analysis, ensuring efficient data flow and system reliability.

Software Engineer at SHIFA PRECISION

August 1, 2025 - Present

Own backend development for a proactive wellness engine that uses a knowledge graph to generate detailed health reports. Engineer a secure and scalable data pipeline to unify biomedical data into a knowledge graph with over 1M+ nodes and 10M+ relationships. Build an AI-driven backend featuring LLMs for automated data extraction and report generation.

Software Engineer at MAPSOL GEOSPATIAL SOLUTIONS INC.

August 1, 2025 - October 8, 2025

Contributed to a live geospatial visualization platform on AWS using Angular with TypeScript, optimizing frontend performance and user experience. Architected an end-to-end AWS-based data pipeline for raster tile rendering, leveraging S3, Step Functions, and Spark with BEAST libraries and MongoDB, ensuring scalable ingestion, processing, and visualization of multi-GB geospatial datasets. Improved user retention by 30% by implementing an intelligent popup placement algorithm that dynamically positioned popups in empty screen areas based on click coordinates and dataset geometry.

Student Researcher at UCR BIG DATA LAB

March 1, 2025 - October 8, 2025

Built and optimized interactive geospatial visualization features using React, JavaScript, and OpenLayers, improving user experience and performance. Enhanced the BEAST platform by developing Scala-based APIs to streamline geospatial data indexing and accelerate query retrieval. Refactored large-scale Spark pipelines by transitioning from SpatialRDDs to the DataFrame API, resulting in a 50% reduction in processing time. Developed AI-driven data aggregation layers for complex geospatial queries, directly improving retrieval accuracy and system performance. Built custom APIs and designed microservices for geospatial data analysis, ensuring efficient data flow and system reliability.