Qasim Anwar

Software Engineer | Enterprise Backend & Geospatial Optimization

Hiring? Every applicant arrives already interviewed.

Overview

Associate Software Engineer with experience building high-stakes backend systems for enterprise giants like Roche and Tektronix. Specialized in Node.js, geospatial data optimization, and distributed logging pipelines. Proven track record of resolving complex data gaps and scaling full-stack applications.

Lahore, PK

Experience

Jun 2025

WORK

Associate Software Engineer

GoSaaS

Lahore, PK

Developed APIs and frontend components for Archiver, directly supporting enterprise client deployments for Roche, Tektronix, and Renesas. Enhanced backend security and stability by fixing critical issues (including a redirect URL injection vulnerability) and delivering UI and client-specific improvements. Built a Node.js backend application that validated image assets using MongoDB and generated client-ready CSV reports, helping customers quickly identify and resolve data gaps. Implemented search and storage integrations using OpenSearch and cloud object storage, supporting large-scale client deployments such as Tektronix.

•Developed APIs and frontend components for Archiver, directly supporting enterprise client deployments for Roche, Tektronix, and Renesas.

•Enhanced backend security and stability by fixing critical issues (including a redirect URL injection vulnerability) and delivering UI and client-specific improvements.

•Built a Node.js backend application that validated image assets using MongoDB and generated client-ready CSV reports, helping customers quickly identify and resolve data gaps.

•Implemented search and storage integrations using OpenSearch and cloud object storage, supporting large-scale client deployments such as Tektronix.

Key Achievements

→Validated and resolved hundreds of image asset data gaps for enterprise clients like Roche and Tektronix through a custom Node.js backend.

Node.jsMongoDBOpenSearchCloud Object StorageCSV

Feb 2026 – Apr 2026

WORK

Contract Software Engineer

Pakistan Air Quality Initiative

Remote

Built a full-stack web app to optimize air quality monitor placement using population-weighted clustering. Optimized geospatial processing and coverage-based k-medoids in Python for large raster datasets. Deployed a FastAPI backend on Google Cloud Run with Docker and cloud storage integration. Developed a TypeScript + Vite frontend with interactive Mapbox visualizations. Designed cloud architecture using Firebase Hosting, GCS, and serverless Postgres using Neon.

•Built a full-stack web app to optimize air quality monitor placement using population-weighted clustering.

•Optimized geospatial processing and coverage-based k-medoids in Python for large raster datasets.

•Deployed a FastAPI backend on Google Cloud Run with Docker and cloud storage integration.

•Developed a TypeScript + Vite frontend with interactive Mapbox visualizations.

•Designed cloud architecture using Firebase Hosting, GCS, and serverless Postgres using Neon.

Key Achievements

→Optimized geospatial processing and coverage-based k-medoids algorithms, reducing processing time from 10-15 minutes to approximately 5 minutes regardless of dataset size.

→Validated and resolved hundreds of image asset data gaps for enterprise clients like Roche and Tektronix through a custom Node.js backend.

PythonFastAPIGoogle Cloud RunDockerTypeScriptViteMapboxFirebase HostingGCSPostgresNeon

Project Portfolio

PERSONAL

Present

SingedIn

Lead Developer

Semantic lyric retrieval + text rewriting. Built a lyrics-aware content generation system that transforms user-written text by semantically matching and injecting relevant song lyrics from a user's Spotify liked songs. Designed an end-to-end RAG pipeline using Spotify and Genius APIs to fetch, clean, chunk, embed, and retrieve lyric lines for context-aware rewriting. Integrated GPT-4o-mini as an editor to intelligently select, rewrite, and blend lyric references into LinkedIn-style posts, ensuring natural tone and semantic alignment.

PythonLangChainGPT-4o-miniChromaDbSpotify APIGenius APIReact

Code

PERSONAL

Present

GoLogs

Full-Stack Developer

High-throughput log ingestion and visualization. Built a distributed logging pipeline capable of ingesting and processing thousands of log events per second from multiple sources (files, terminal streams, and services). Designed a reliable producer-consumer architecture using Fluent Bit, Redis, and BullMQ to buffer, queue, and persist structured logs into MongoDB for frontend consumption. Developed a full-stack log viewer using RedwoodJS and Preact, and containerized all services with Docker Compose to enable reproducible development in a 5-member team.

Node.jsRedisFluent BitBullMQMongoDBRedwoodJSPreactDocker

Code