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I'm Sahithi Tanneeru, an AI/ML engineer focused on building scalable machine learning, generative AI, and data-driven solutions across finance, retail, and healthcare. I design and deploy end-to-end systems—from real-time inference pipelines to robust MLOps—leveraging LLMs, RAG architectures, LangChain, and fine-tuning with LoRA/QLoRA. I collaborate with business, compliance, and data teams to deliver enterprise-grade AI solutions that are performant, explainable, and compliant with industry standards. My toolkit includes Python, SQL, PySpark, Databricks, Spark, Docker, Kubernetes, and cloud services on AWS and Azure. I’m passionate about turning complex data into actionable insight and driving measurable business impact.…I'm Sahithi Tanneeru, an AI/ML engineer focused on building scalable machine learning, generative AI, and data-driven solutions across finance, retail, and healthcare. I design and deploy end-to-end systems—from real-time inference pipelines to robust MLOps—leveraging LLMs, RAG architectures, LangChain, and fine-tuning with LoRA/QLoRA. I collaborate with business, compliance, and data teams to deliver enterprise-grade AI solutions that are performant, explainable, and compliant with industry standards. My toolkit includes Python, SQL, PySpark, Databricks, Spark, Docker, Kubernetes, and cloud services on AWS and Azure. I’m passionate about turning complex data into actionable insight and driving measurable business impact.

Sahithi T

Data Scientist, AI Engineer, Full Stack Developer, +2

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I'm Sahithi Tanneeru, an AI/ML engineer focused on building scalable machine learning, generative AI, and data-driven solutions across finance, retail, and healthcare. I design and deploy end-to-end systems—from real-time inference pipelines to robust MLOps—leveraging LLMs, RAG architectures, LangChain, and fine-tuning with LoRA/QLoRA. I collaborate with business, compliance, and data teams to deliver enterprise-grade AI solutions that are performant, explainable, and compliant with industry standards. My toolkit includes Python, SQL, PySpark, Databricks, Spark, Docker, Kubernetes, and cloud services on AWS and Azure. I’m passionate about turning complex data into actionable insight and driving measurable business impact.…I'm Sahithi Tanneeru, an AI/ML engineer focused on building scalable machine learning, generative AI, and data-driven solutions across finance, retail, and healthcare. I design and deploy end-to-end systems—from real-time inference pipelines to robust MLOps—leveraging LLMs, RAG architectures, LangChain, and fine-tuning with LoRA/QLoRA. I collaborate with business, compliance, and data teams to deliver enterprise-grade AI solutions that are performant, explainable, and compliant with industry standards. My toolkit includes Python, SQL, PySpark, Databricks, Spark, Docker, Kubernetes, and cloud services on AWS and Azure. I’m passionate about turning complex data into actionable insight and driving measurable business impact.

Available to hire

I’m Sahithi Tanneeru, an AI/ML engineer focused on building scalable machine learning, generative AI, and data-driven solutions across finance, retail, and healthcare. I design and deploy end-to-end systems—from real-time inference pipelines to robust MLOps—leveraging LLMs, RAG architectures, LangChain, and fine-tuning with LoRA/QLoRA.

I collaborate with business, compliance, and data teams to deliver enterprise-grade AI solutions that are performant, explainable, and compliant with industry standards. My toolkit includes Python, SQL, PySpark, Databricks, Spark, Docker, Kubernetes, and cloud services on AWS and Azure. I’m passionate about turning complex data into actionable insight and driving measurable business impact.

Skills

Experience Level

Expert

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Expert

Work Experience

AI/ML Engineer at Charles Schwab

January 1, 2025 - Present

Implemented AI/ML solutions for wealth management and financial analytics, including fraud detection, risk assessment, and customer segmentation. Built Generative AI applications using LLMs, RAG/GraphRAG, and vector databases; fine-tuned transformer models (GPT, Llama, BERT) with LoRA/QLoRA for domain use cases. Developed AI-powered chatbots and real-time inference pipelines with Python, FastAPI, Kafka, Spark, and Databricks. Established MLOps practices with MLflow, Docker, Kubernetes, CI/CD, and monitoring; integrated AWS Bedrock for enterprise AI and enhanced knowledge retrieval with semantic search and graphRAG workflows.

Machine Learning Engineer at American Eagle Outfitters

June 1, 2024 - December 1, 2024

Developed customer segmentation, recommendation engines, and demand forecasting models. Implemented churn prediction and fraud detection, and built feature pipelines in Azure Databricks and PySpark. Automated ML lifecycle with MLflow, Docker, Kubernetes, and CI/CD; monitored drift and maintained model performance (accuracy > 90%). Collaborated with merchandising, supply chain, marketing, and digital teams to support omnichannel operations.

Python Developer at CVS

May 1, 2021 - December 1, 2023

Designed RESTful APIs using Flask/FastAPI and built scalable ETL pipelines with Python, Pandas, PySpark, and SQL to process large healthcare datasets. Automated data workflows, ensured data quality and regulatory compliance, optimized SQL queries, and implemented real-time data processing with Kafka. Contributed to AI-enabled data processing for healthcare applications and supported Agile/Scrum development.