Open to opportunities

Haseeba Razzaq

@haseebarazzaq

Senior AI & Data Engineer building scalable cloud-native pipelines and LLM-powered systems that reduce latency and incidents.

Pakistan

Message

What I'm looking for

I want to build scalable cloud-native data and AI systems with end-to-end pipelines, real-time streaming, and production-grade observability—prioritizing reliability, data quality, and performance that translate business needs into measurable outcomes.

I’m a Senior AI & Data Engineer with 8+ years of experience designing and delivering scalable Big Data, cloud-native, and AI-driven data systems. I focus on production-grade data platforms that stay reliable under real operational load.

I build end-to-end data engineering systems—from ETL/ELT and batch processing to real-time streaming architectures—leveraging Python-based backend development and distributed systems. I’ve led cloud-native implementations processing 10M+ daily events and improved pipeline efficiency using Kafka and AWS.

On the AI side, I integrate LLM features using OpenAI APIs and LangChain, building RAG pipelines with vector databases and embedding workflows. I also optimize analytics-ready, search, and insight experiences with intelligent retrieval and prompt engineering.

Across my roles, I’ve improved performance and operational stability by optimizing PostgreSQL/Redis/Elasticsearch queries, increasing uptime, strengthening data quality and validation, and reducing incident detection and resolution time through observability. I enjoy collaborating with cross-functional teams to turn business requirements into scalable, high-quality solutions.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Data Engineer

Current

InvoZone

Sep 2023 - Present (2 years 9 months)

Led the design and implementation of cloud-native data and AI systems processing 10M+ daily financial events using Python and FastAPI. Built Kafka/AWS ETL pipelines and improved processing efficiency by 35%, reducing API latency by 30% and deployment time by 45%, while cutting incident detection time by 25%.

Python fastAPI Apache Kafka ETL ELT PostgreSQL Redis Elasticsearch

Senior Data Engineer

Oscar Health

Jul 2020 - Aug 2023 (3 years 1 month)

Built real-time and batch Kafka data pipelines processing 5M+ healthcare records daily. Designed PostgreSQL/MongoDB schemas, improving query performance by 28%, and delivered embedding/RAG-based semantic search along with RESTful analytics APIs with 99.5% uptime.

Apache Kafka Data Pipelines PostgreSQL MongoDB Semantic Search REST APIs

Software Engineer

Dycoders

Oct 2018 - Jun 2020 (1 year 8 months)

Developed backend systems using Django and Flask supporting 50K+ active users across client applications. Improved response time by 30% using PostgreSQL query refinements and Redis caching, and deployed on AWS with Docker and CI/CD pipelines, improving release efficiency by 40%.