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Prajwal S

Software engineer building large-scale geospatial data platforms — distributed pipelines that move multi-terabyte satellite imagery, serverless data lakes, and agentic AI systems that let people query the planet in plain language.

location  Bangalore, India focus  Distributed Systems · Data Engineering · Earth Observation
Get in touch GitHub
4+ yrs
Building production data systems
10×
Pipeline & API performance gain
50%
Cloud compute spend reduced
99.9%
Pipeline reliability sustained

experience

Software Developer · Fused.io
Contract
Remote
  • Built scalable UDFs to streamline large-scale geospatial data processing workflows.
  • Developed ETL pipelines for efficient data ingestion, transformation, and integration.
  • Deployed edge-native solutions using AWS Lambda@Edge to improve scalability and reduce latency.
  • Engineered high-performance data solutions that improved processing efficiency and platform reliability, surfaced through a Slack bot integration.
SDE-2 · SatSure Analytics
2025 — 2026
Bangalore, India
  • Agentic AI & Orchestration: Architected FarmBOT, a LangGraph-driven geospatial intelligence engine orchestrating complex reasoning chains across S3, Athena, and STAC protocols, with Human-in-the-Loop checkpoints validating autonomous data retrieval and analysis.
  • Pipeline Architecture: Architected a scalable geospatial-ML pipeline using Apache Airflow Dynamic Task Groups to orchestrate end-to-end processing of Sentinel-1 (SAR), Sentinel-2 (MSI), and Landsat imagery — integrating NASA/ISRO weather and soil moisture products for automated crop classification and multi-terabyte delivery to Amazon S3.
  • Infrastructure & Cost Optimization: Managed AWS infrastructure (EKS, EC2), implementing auto-scaling policies and Spot Instances that cut monthly cloud compute spend by 50%.
  • Database & Data Lake Design: Designed schemas for high-volume data access and architected a serverless Data Lake on AWS S3 with Athena/Glue, optimizing partitions for query performance and cost.
  • Performance Tuning: Improved real-time API and pipeline performance 10× through rigorous resource tuning, caching strategies, and architectural decomposition.
  • Observability & Reliability: Established a monitoring stack with Prometheus and Grafana, sustaining 99.9% pipeline reliability and enabling real-time troubleshooting of performance bottlenecks.
  • Security & Compliance: Partnered with security teams to implement RBAC, IAM roles, and encryption at rest (KMS) to secure sensitive space data.
  • MLOps: Engineered and automated pipelines to prepare, validate, and version datasets for ML training, integrating with Feature Stores.
  • Standards: Instituted data organization and modeling standards based on STAC (SpatioTemporal Asset Catalog) specifications. Core developer contributor to open-source pygeoapi.
  • Multi-cloud: Worked across AWS, Azure (VMs, Blob Storage, AKS), and GCP, with cross-cloud transfer via rclone.
  • Leadership: Led a team of 4 engineers, driving architecture decisions and engineering best practices; collaborated with ML, backend, DevOps, and data engineering teams on system-level design.
Software Engineer · SatSure Analytics
2022 — 2025
Bangalore, India
  • API & Backend Data Services: Built robust REST APIs with FastAPI and Flask to expose processed data to downstream BI tools and frontend applications.
  • Database Management: Managed PostgreSQL (PostGIS) databases for transactional (OLTP) geospatial data; wrote complex SQL to optimize data retrieval speeds.
  • Infrastructure as Code: Containerized data applications with Docker and automated deployments via Bitbucket Pipelines, ensuring consistent environments across dev, stage, and production.

projects

01

Real-Time Geospatial Edge Processing Pipeline

Objective
Build an edge-optimized pipeline for low-latency processing and inference on large Earth Observation (EO) datasets.
Solution
Built an edge-optimized tiling and inference pipeline for large EO datasets, using parallel scheduling and compute modeling.
Outcome
Achieved a 10× reduction in processing latency. Simulated pipeline performance with Python system models to validate the optimizations.
Edge ComputingParallel Scheduling SimPyPythonEO Data
02

FarmBOT — LLM-Orchestrated Geospatial Data Lake

Architecture
Developed a backend using LangGraph to manage stateful, multi-turn interactions between LLMs and geospatial data sources.
Data Integration
Engineered custom tools letting the LLM interface with STAC catalogs and pygeoapi, enabling natural-language querying of massive EO datasets in Amazon S3/Athena.
Reliability
Integrated a Human-in-the-Loop verification layer ensuring accuracy of AI-generated spatial queries and visualizations before final rendering in the Next.js UI.
LangGraphLLM AgentsSTAC AthenaS3Next.js
03

In-House openEO Platform

Role
Spearheaded development of an openEO-compliant platform orchestrating workflows across multiple geospatial data sources and processing backends.
Impact
Implemented Dask for parallel and distributed processing of large-scale EO data cubes, substantially reducing execution time for high-volume datasets. Designed the API layer for seamless interoperability between internal data systems and standardized data access.
PythonDaskREST API Distributed SystemsopenEO

skills

Systems Engineering
Requirements AnalysisArchitecture Design Trade StudiesReliability Distributed SystemsEdge Computing
Data & Geospatial
Modeling & Simulation (SimPy)Geospatial Processing STACpygeoapiPostGIS Orbital Mechanics (TLE/SGP4)
ML / AI & Optimization
Low-latency InferenceGPU/CPU Optimization MLOpsKServeSageMaker MLflowLangGraphOpenAI API
Distributed & Orchestration
DaskRayCelery Kubernetes (EKS)Docker Apache AirflowApache Spark
Cloud & DevOps
AWSAzureGCP TerraformHelmGitHub Actions PrometheusGrafanaCloudWatch
Languages
Python (Advanced)SQL (Advanced) Shell ScriptingC#

education

RV College of Engineering
BE · Bengaluru, India
8.63 CGPA
PES PU College
Pre-University (KEA) · Bengaluru, India
528 / 600
Vagdevi Vilas School, Varthur
CBSE · Bengaluru, India
9.6 / 10

Let's build something

Open to conversations about distributed data platforms, Earth Observation infrastructure, and agentic AI systems.

s.prajwal.amaravati@gmail.com +91 8217088794