Sudhamsu Bairisetti

About Sudhamsu Bairisetti

AI/ML Engineer (Machine Learning Engineer) with 4+ years of experience designing, building, and deploying scalable machine learning, deep learning and GenAI solutions across financial services and enterprise AI platforms. Strong expertise in Python, TensorFlow, PyTorch, NLP, Computer Vision, Generative AI and MLOps. Experienced in building data pipelines with Airflow, Kafka, and ETL frameworks, and deploying models using AWS SageMaker, GCP Vertex AI. Proven ability to improve fraud detection, recommendation systems, and decision automation through production grade AI systems. Experienced in building end to end ML pipelines across cloud and on premise environments with measurable impact on accuracy, cost reduction, and deployment efficiency.

Experience

1. Machine Learning Engineer

   OpenAI

   Jan 2025 — Present · US

   Developed and fine-tuned NLP and transformer-based models using Hugging Face and OpenAI APIs, improving summarization and classification accuracy by 30%+.Built end-to-end ML pipelines using Airflow and MLflow, automating ingestion, training, validation, deployment, and monitoring — reducing manual effort by 40%+.Deployed scalable real-time inference services using FastAPI, Docker, and Kubernetes supporting 1M+ API calls per day with 99.9% uptime.Integrated vector databases (FAISS, Pinecone) for semantic search and retrieval-augmented generation (RAG), improving retrieval speed by 40%.Applied hyperparameter optimization using Optuna and Ray Tune, boosting F1 scores by up to 18%.Built monitoring dashboards with Prometheus and Grafana to detect model drift, latency, and performance degradation, reducing downtime by 60%.Created automated retraining workflows triggered by data drift detection in AWS SageMaker, ensuring models remained production-ready.Worked on Generative AI chatbots with transformer-based embeddings, improving contextual accuracy by 25%.Designed automated retraining workflows triggered by drift detection using AWS SageMaker.Led Generative AI initiatives for document intelligence, chatbot systems, and automated financial insights generation, reducing manual review efforts by 40%.Implemented explainable AI techniques (SHAP, LIME) to enhance transparency and regulatory compliance.

Education

• Visvesvaraya National Institute of Technology

  Bachelor of Technology - BTech, Mechanical Engineering

  2018 — 2022

• University of Cincinnati

  Master's degree, Information Technology