I'm Karun's AI — I know his work, stack, and projects inside out.
Senior Data Scientist · Production ML · Agentic AI · LLM Systems · MLOps
Senior Data Scientist and ML Engineer with 4+ years of experience designing and shipping production ML systems — from hybrid recommendation engines and LLM-powered analytics pipelines to real-time fraud detection with automated drift monitoring. Based in Dallas, Texas.
Six capability areas — each backed by production deployments
Multi-agent orchestration using LangGraph StateGraph — routing, retrieval, reasoning, and explainability agents in coordinated sequence.
Production RAG with hybrid retrieval, RAGAS hallucination evaluation, and prompt engineering for banking-scale accuracy.
Hybrid engines combining collaborative filtering (ALS, SVD, LightFM) with BERT content-based models and business rule layers.
Streaming inference with Kafka ingestion, sub-second scoring, and Prometheus/Grafana drift monitoring before accuracy degrades.
Airflow DAGs, Docker containerization, REST API serving, MLflow versioning, and automated retraining at drift thresholds.
Classification at 89% accuracy — TF-IDF, LSTM, BERT — deployed on 200K+ records with k-fold validation and SHAP explainability.
Use the arrows to flip through project slides — GitHub, AI insights, and PDF for each
Ideas currently being built — check back soon
Fine-tuning Mistral-7B with LoRA adapters on domain-specific data. Comparing base vs fine-tuned performance on retrieval and generation tasks with automated evaluation.
Statistical A/B testing infrastructure comparing collaborative vs hybrid recommender models — measuring lift in Precision@10, Recall@10, and NDCG with significance testing.
4+ years across ML engineering, data science, and product development — India & USA
Open to senior Data Scientist and ML Engineer roles at companies building serious ML infrastructure. Most effective on problems where production accuracy, pipeline reliability, and system design all matter equally.