man karan

karanbackend engineer

Backend engineer with 5+ years building production Python services, distributed geospatial data platforms, and high-performance APIs on AWS.

Navi Mumbai, India ๐Ÿ‡ฎ๐Ÿ‡ณ

karan --build backend-systems --with python,postgres,aws --optimize-for scale,reliability

I build Python backend systems for geospatial data, climate risk analytics, distributed processing, and high-performance APIs.

From March 2021 to May 2026, I worked at Intensel Ltd as a Software Engineer focused on backend and data infrastructure. I owned architecture, delivery, distributed processing, and production support for a climate risk platform used by enterprise customers across 10+ countries.

Feel free to reach out and say hi on X or LinkedIn. I'm always happy to connect, collaborate, and share knowledge.

2.3B+ building records
Designed ingestion and query systems across 1.8 TB of PostGIS data.
50K+ jobs/day
Operated AWS SQS and Dask workflows with scheduling, retries, worker orchestration, and failure recovery.
Minutes โ†’ single-digit milliseconds
Reduced critical query latency through PostGIS indexing and query optimization.
p99 under 200ms
Built FastAPI and Django APIs with caching strategies for production load.
Half-hourly NASA precipitation data
Built a near-real-time pipeline for GPM IMERG GeoTIFFs with a 10-minute availability buffer and Amazon S3 delivery for risk monitoring and alerts.
60% faster deployments
Built Docker-based CI/CD and deployed services to Kubernetes on Amazon EKS with CloudWatch observability.

Software Engineer (Backend & Data Infrastructure) โ€” Intensel Ltd

Owned backend architecture and data infrastructure for a climate risk platform serving enterprise customers across 10+ countries. Took changes from ambiguous requirements through technical design, automated testing, deployment, and production support; reviewed code, mentored engineers, and investigated incidents across APIs, workers, queues, databases, and deployments.

Backend / APIs, validation & testing

Django FastAPI Axum REST APIs Validation Automated testing

Languages / Application & data systems

Python SQL Rust

AI & analytics / Natural-language data access

LLM agents Natural-language queries Geospatial analytics

Engineering / Delivery & production support

System design Code review Mentoring Production debugging Monitoring

Data & processing / Databases, queues & workers

PostgreSQL PostGIS Redis DuckDB AWS SQS Dask

Cloud & infrastructure / Deployment & operations

AWS Docker Kubernetes Amazon EKS EC2 S3 RDS Linux CI/CD CloudWatch

01

Climate Risk Platform

Owned backend architecture and delivery for an enterprise climate risk platform serving customers across 10+ countries, from requirements and technical design through rollout and production support.

02

NASA GPM IMERG Precipitation Pipeline

Built and operated near-real-time ingestion of half-hourly precipitation GeoTIFFs with a 10-minute availability buffer and Amazon S3 storage for insurance and financial-services risk monitoring and alerts.

03

Natural-Language Geospatial Analytics

Built an LLM-powered agent that converted natural-language requests into structured geospatial and analytics queries, using DuckDB for vector-data analysis and integrating with backend APIs and PostgreSQL/PostGIS.

04

Global Building Footprints

Built ingestion, validation, indexing, and query workflows for 2.3B+ building records across 1.8 TB of PostGIS data, balancing batch throughput with low-latency access.

05

Map Tile Service

Designed authenticated backend delivery for 5.3 TB of geospatial raster data, with tuned storage access, caching, logging, and monitoring for reliable production delivery.

06

RediServe

Built an asynchronous HTTP API for Redis in Rust with Axum and Tokio, using connection pooling and explicit backend resource management.

Bachelor of Computer ScienceUniversity of Mumbai ยท 2020

Open to high-impact collaborations, consulting, and OSS. Drop me a line at karan@jadhav.dev.