Sahith Manchikanti

AI/Machine Learning Engineer

CareSource

Feb 2024 - Current (2 years 8 months)

As an AI/Machine Learning Engineer, I designed and deployed machine learning models utilizing electronic health record (EHR) and claims data to estimate readmission risk, collaborating closely with clinical teams to validate outcomes and refine feature sets. I built natural language processing (NLP) pipelines with spaCy and Hugging Face to extract key clinical details such as diagnoses, medications, and procedures from unstructured notes, significantly enhancing care insights. Additionally, I developed a large language model (LLM)-driven clinical assistant using LangChain and FAISS, which enabled clinicians to quickly summarize patient histories and review synthesized recommendations. I created automated Databricks pipelines using PySpark,

AI Software Engineer

MetLife

Aug 2023 - Jan 2024 (6 months)

As an AI Software Engineer, I built predictive models for claims severity and policy lapse, integrating model outputs with actuarial and underwriting workflows. I designed a retrieval-augmented generation system using Pinecone and Hugging Face embeddings to help internal teams query policy documents with natural language. Additionally, I developed forecasting solutions for claim volume and premium trends by combining classical methods (ARIMA, Prophet) with PySpark pipelines. My role also involved creating production-ready ETL workflows in Airflow and PySpark to maintain clean, reliable datasets in Snowflake and Redshift. I produced dashboards in Tableau and Power BI to help leadership track model performance and business KPIs. While my prim

Data Scientist (ML/AI Focus)

ICICI Bank

Nov 2020 - Jul 2022 (1 year 9 months)

As a Data Scientist with a focus on ML/AI, I built advanced fraud detection models utilizing PyTorch, CNN/RNN architectures, and XGBoost, seamlessly integrating them with Kafka and Spark streaming pipelines for near real-time decision-making. I developed churn and lifetime value models that supported marketing and retention strategies, enabling teams to prioritize customer outreach effectively. My work included creating dbt-based data models in Redshift/S3, which significantly improved the consistency and reliability of datasets used across various ML projects. Additionally, I designed early GPT-based chatbot prototypes to assist fraud investigators by efficiently pulling relevant transactions and summaries. To streamline ML release cycles,

R

Machine Learning Engineer

Reliance LTD

Oct 2019 - Oct 2020 (1 year 1 month)

As a Machine Learning Engineer, I supported multiple data science teams by building MLOps pipelines for forecasting, recommendation, and churn models across retail and telecom operations. I automated CI/CD processes using MLflow, DVC, GitHub Actions, and Jenkins to version models, datasets, and deployment artifacts. My expertise in containerization and deployment of ML workloads using Docker and Kubernetes ensured scalable inference for high-volume traffic. Additionally, I built monitoring frameworks for data drift, pipeline health, and model performance, significantly reducing production blind spots. While my primary focus was on structured datasets and classical machine learning, I recognize that skills such as prompt engineering could be

Sahith Manchikanti

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Sahith Manchikanti

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