Open to opportunities

Talha Abassi

@talhaabassi

Message

I build production AI systems, RAG workflows, and multilingual generative media products.

United States

Message

What I'm looking for

I'm looking to build production AI products that turn rapid experimentation in LLMs, retrieval, and generative media into reliable customer-facing systems.

I've built customer-facing AI products at DATANET IT, Lingopal, and Wamo Labs, spanning backend systems, retrieval workflows, generative media, and machine learning prediction systems.

At DATANET IT, I architected FastAPI and PostgreSQL services that reduced p95 API latency from 1.73s to 418ms. I also prototyped LangChain/RAG applications and automated evaluation and prompt-improvement loops, raising grounded-answer pass rates from 71% to 83%.

At Lingopal, I developed multilingual audio and video generation pipelines with PyTorch, reducing translation latency from 1.26s to 690ms and delivering synthetic-media services with a 99.5% successful job completion rate.

Earlier at Wamo Labs, I improved forecast mean absolute error by 23%, productionized NLP experimentation, and built OpenAI API workflows that reduced manual handling time by 31%.

Experience

Work history, roles, and key accomplishments

Current

Senior Backend & AI Engineer

Current

Datanet IT

May 2023 - Present (3 years 4 months)

Architected backend services with FastAPI and PostgreSQL, reducing p95 latency from 1.73s to 418ms. Automated experiment tracking and model evaluation with MLflow and Jupyter, and shipped Docker-based CI/CD pipelines for safer releases.

fastAPI PostgreSQL MLFlow Jupyter RAG Docker CI CD