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Kamran Moazim
@kamranmoazim
Level 2
Software Engineer SaaS AWS GenAI
Pakistan
Inglese, Urdu
Chi sono
I build AWS backends, AI integrations and data pipelines for startups and small businesses, and I fix the ones that are already broken.
What I do most:
- MCP servers and ChatGPT or Claude connectors for your software
- AWS rescue, security fixes and cost cuts
- Serverless APIs: Lambda, Node.js, Python, CDK
- RAG chatbots and PDF data extraction on Bedrock
- Kafka and ClickHouse pipelines, Superset dashboards
- Cloudflare Workers apps
4 years in backend and cloud work. Every job ships with source code, docs and a rollback plan. Message me before ordering and I'll scope it for free.
Competenze
Kamran Moazim
35 USD/ora
offline •
Tempo di risposta medio: 2 ore
Consulta i miei servizi
Applicazioni web full stack
I will serverless AWS lambda apis in nodejs or python with cdk
Siti Web e software IA
I will ai document processing agent with AWS bedrock agentcore
Vuoi lavorare su base oraria?
Spiega a Kamran Moazim cosa ti serve.
35 USD
/
oraPortfolio
Esperienza lavorativa
Software Engineer
Complyport • Full time
Oct 2025 - Oct 2026 • 1 yr
Backend engineer on Polaris, a financial reconciliation platform built as Spring Boot microservices. - Added ClickHouse as an optional storage layer next to MariaDB, switched on per company with a feature flag, so large reconciliation runs stay fast - Built a custom ClickHouse migration runner with checksum validation and change history, alongside Liquibase for MariaDB - Solved multi-datasource configuration issues across the reconciliation service and job runner - Parse regulatory XML reports (EMIR) and process them with concurrent Java jobs - Maintain the Playwright end-to-end test suite for the React and Ant Design frontend, including multi-step wizard flows - Work across the stack: Java, Spring Boot, JPA/Hibernate, MariaDB, ClickHouse, MinIO, Docker
Software Engineer | BI & Data Engineering
Docnow EHR • Full time
Mar 2022 - Sep 2025 • 3 yrs 6 mos
- Built a real-time ETL pipeline that streams MongoDB changes through Apache Kafka into ClickHouse, using Node.js - Built Apache Superset reports on ClickHouse so healthcare providers could analyse patient data - Optimised MongoDB aggregation pipelines and integrated third-party insurance APIs - Fixed critical production bugs and reviewed teammates' code
39 Recensioni
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Valutazione dettagliata
- Livello di comunicazione del venditore
- Qualità della consegna
- Valore della consegna
1-5 di 39 recensioni
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Più rilevante
risson7474
Stati Uniti
Collaborazione in corso
He was very fast and eligible on what he did made the process very simple. Will definitely recommend his services and utilize them in the future.
Risposta del venditore
Utile?
pig_llc
Stati Uniti
Collaborazione in corso
Utile?
pig_llc
Stati Uniti
Collaborazione in corso
great communication, patience, and professionality. over the top work ethic and great partner. highly organized. great service!
Utile?
adamhoward77
Regno Unito
Collaborazione in corso
Its a pleasure to work with Kamran and we will continue to work with Kamran. We are developing some sophisticated AI Solutions together.
Utile?
adamhoward77
Regno Unito
Collaborazione in corso
I really enjoyed working with Kamran. Really straight forward, good communication, very responsive, delivered as agreed, flexible and no fuss. We will continue working with him.
Utile?
