Looking for a job

Karthik Chennareddy

@karthikchennareddy

I build production AI systems that accelerate financial research, optimize inference, and scale machine learning operations.

United States

Message

What I'm looking for

I'm looking to build scalable, production-grade AI systems where I can apply LLMs, deep learning, GPU optimization, MLOps, and cloud-native data engineering to measurable business outcomes.

At BlackRock, I architect an LLM-powered portfolio intelligence platform that reduced financial research turnaround time by 48% across 12 investment teams. I also build GPU-accelerated inference pipelines supporting more than 20 million daily predictions while reducing latency by 63%.

I've deployed enterprise MLOps workflows with Kubernetes, MLflow, Airflow, and CI/CD, increasing model release frequency 4x and reducing deployment failures by 37%. My work spans distributed ETL, real-time processing of 8TB+ financial datasets, transformer-based sentiment analysis, and governed model monitoring.

Previously at Virtual Infotech Solution, I delivered computer vision, predictive analytics, recommendation, and AI microservice solutions that improved inspection accuracy, churn prediction, deployment speed, and customer engagement.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Engineer

Current

BlackRock

Sep 2024 - Present (2 years)

Architected a large-scale LLM-powered portfolio intelligence platform, reducing financial research turnaround time by 48% across 12 investment teams. Engineered GPU-accelerated inference pipelines and deployed enterprise MLOps workflows, improving model release frequency by 4x and lowering deployment failures by 37%.