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I am an AI/ML Engineer with over 10 years of experience designing, building, and optimizing scalable data pipelines and machine learning workflows across cloud and on‑premises environments. I have hands-on expertise deploying ML models for classification, regression, clustering, and recommendation tasks, and I actively apply deep learning, NLP, and MLOps practices to drive enterprise outcomes. My work spans finance and healthcare, where I architect agentic AI systems, RAG pipelines, and multimodal solutions with strong governance, explainability, and secure deployment. I thrive on delivering fast-cycle AI prototypes and transitioning them into robust production platforms on AWS, GCP, Azure, and multi-cloud Kubernetes environments, with end-to-end observability and scalable data architectures.…I am an AI/ML Engineer with over 10 years of experience designing, building, and optimizing scalable data pipelines and machine learning workflows across cloud and on‑premises environments. I have hands-on expertise deploying ML models for classification, regression, clustering, and recommendation tasks, and I actively apply deep learning, NLP, and MLOps practices to drive enterprise outcomes. My work spans finance and healthcare, where I architect agentic AI systems, RAG pipelines, and multimodal solutions with strong governance, explainability, and secure deployment. I thrive on delivering fast-cycle AI prototypes and transitioning them into robust production platforms on AWS, GCP, Azure, and multi-cloud Kubernetes environments, with end-to-end observability and scalable data architectures.

Palakurla Sindhu

AI Engineer, Data Scientist, Full Stack Developer, +5

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I am an AI/ML Engineer with over 10 years of experience designing, building, and optimizing scalable data pipelines and machine learning workflows across cloud and on‑premises environments. I have hands-on expertise deploying ML models for classification, regression, clustering, and recommendation tasks, and I actively apply deep learning, NLP, and MLOps practices to drive enterprise outcomes. My work spans finance and healthcare, where I architect agentic AI systems, RAG pipelines, and multimodal solutions with strong governance, explainability, and secure deployment. I thrive on delivering fast-cycle AI prototypes and transitioning them into robust production platforms on AWS, GCP, Azure, and multi-cloud Kubernetes environments, with end-to-end observability and scalable data architectures.…I am an AI/ML Engineer with over 10 years of experience designing, building, and optimizing scalable data pipelines and machine learning workflows across cloud and on‑premises environments. I have hands-on expertise deploying ML models for classification, regression, clustering, and recommendation tasks, and I actively apply deep learning, NLP, and MLOps practices to drive enterprise outcomes. My work spans finance and healthcare, where I architect agentic AI systems, RAG pipelines, and multimodal solutions with strong governance, explainability, and secure deployment. I thrive on delivering fast-cycle AI prototypes and transitioning them into robust production platforms on AWS, GCP, Azure, and multi-cloud Kubernetes environments, with end-to-end observability and scalable data architectures.

Available to hire

I am an AI/ML Engineer with over 10 years of experience designing, building, and optimizing scalable data pipelines and machine learning workflows across cloud and on‑premises environments. I have hands-on expertise deploying ML models for classification, regression, clustering, and recommendation tasks, and I actively apply deep learning, NLP, and MLOps practices to drive enterprise outcomes.

My work spans finance and healthcare, where I architect agentic AI systems, RAG pipelines, and multimodal solutions with strong governance, explainability, and secure deployment. I thrive on delivering fast-cycle AI prototypes and transitioning them into robust production platforms on AWS, GCP, Azure, and multi-cloud Kubernetes environments, with end-to-end observability and scalable data architectures.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Telugu

Advanced

Hindi

Advanced

Work Experience

Senior AI/ML Engineer at Goldman Sachs

October 1, 2023 - November 5, 2025

Architected and deployed enterprise-scale ML/AI solutions to optimize algorithmic trading, portfolio risk, and fraud detection across multi-asset classes. Built time-series forecasting frameworks (LSTM, ARIMA, Prophet); fine-tuned transformer-based LLMs for financial reports, investment summaries, and compliance Q&A. Developed and launched agentic multimodal AI workflows (text + image) with tool invocation and orchestration via LangChain/Autogen; deployed LLM endpoints on AWS SageMaker and Kubernetes with zero-downtime updates. Designed NLP pipelines for regulatory reporting and sentiment analysis; implemented real-time ETL with PySpark, Kafka, and Airflow; orchestrated multi-cloud ML workflows across AWS, Azure, and GCP.

AI/ML Engineer at Cardinal Health

September 1, 2023 - September 1, 2023

Built healthcare-specific chatbots using LangChain and RAG for patient scheduling, claims status, and prescription refills. Developed PoCs and AI-driven healthcare MVPs with LangChain, Hugging Face, Kafka and OpenAI API; created SPARQL-based semantic APIs for real-time data retrieval and model interpretability with upstream systems. Implemented CI/CD pipelines, optimized API performance, and deployed healthcare LLMs for medical document summarization and patient FAQs. Designed predictive analytics leveraging XGBoost, MongoDB, LightGBM, and cloud ML services to support readmission risk and disease progression modeling. Integrated multi-modal AI for medical image and text analysis and built multi-agent Conversational AI systems for triage and inquiries.

Data Scientist at Cyient

July 1, 2020 - July 1, 2020

Worked with SQL/NoSQL databases and designed high-throughput data models on Apache Cassandra for time-series and distributed logging. Led ETL component standardization, batch processing with Spark and Airflow, and data governance. Built ML-ready feature sets with Spark, Delta Lake, and Snowflake; delivered dashboards via Tableau/Power BI; integrated with AWS Glue/Lambda for on-demand processing. Mentored junior engineers and implemented data quality checks and CI/CD practices for robust data pipelines.

Data Analyst at Helical IT Solutions

December 1, 2016 - December 1, 2016

Analyzed customer data and built dashboards in Tableau/Power BI; designed and implemented ETL pipelines; automated recurring reports and improved data quality. Performed data cleaning, created data dictionaries, and supported governance. Conducted A/B testing and developed early-stage predictive models, enabling data-driven decision making across marketing, operations, and finance.

Senior AI/ML Engineer at Goldman Sachs

October 1, 2023 - November 9, 2025

Architected and deployed enterprise-scale ML/AI solutions (TensorFlow, PyTorch, scikit-learn) to optimize algorithmic trading, portfolio risk, and fraud detection across multi-asset classes. Built time-series forecasting frameworks (LSTM, ARIMA, Prophet); fine-tuned transformer-based LLMs (GPT-4o, Claude, LLaMA) for financial reporting, investment summaries, contract reviews, and predictive Q&A. Developed and launched agentic multimodal AI workflows (text and image) using LangChain/Autogen with tool invocation, reducing manual review tasks by over 40%. Operationalized LLM endpoints on AWS SageMaker/EKS with Docker/Kubernetes and CI/CD pipelines for zero-downtime updates. Designed NLP pipelines for regulatory reporting, sentiment analysis, and automated compliance checks. Engineered real-time ETL pipelines with PySpark, Kafka, and Airflow to process billions of transactions daily. Orchestrated multi-cloud ML workflows across AWS, Azure, and GCP and ensured scalability and cost efficienc

AI/ML Engineer at Cardinal Health

January 1, 2021 - September 30, 2023

Built healthcare-specific chatbots using LangChain and RAG pipelines; developed HIPAA-compliant clinical AI systems by integrating medical knowledge bases and multimodal data for notes and claims. Created PoCs and MVPs for clinical support, RL experiments, and experiment APIs; designed end-to-end MLOps for production deployments and observability.

Data Scientist at Cyient

January 1, 2017 - July 31, 2020

Worked with SQL/NoSQL data modeling, ETL, and high-throughput data pipelines. Built Spark-based data processing and feature engineering for ML models, and collaborated with analysts to deliver KPI dashboards. Led data governance, unit tests, CI/CD checks, and onboarding of new data sources; implemented batch and streaming pipelines for ML-ready data.

Data Scientist at Helical IT Solutions

August 1, 2014 - December 31, 2016

Developed analytics and AI solutions across ETL pipelines, data lakes, and ML workflows. Built time-series and event-driven models for runtime prediction and anomaly detection; integrated healthcare knowledge bases (UMLS, SNOMED CT, ICD-10, RxNorm) for clinical AI. Implemented containerized services, multi-agent workflows, and HIPAA-compliant access controls; designed dashboards for risk and operational insights.