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I am a data-driven ML engineer with around 4 years of experience in AI, NLP, and data visualization. I enjoy turning messy data into scalable, production-ready models and deploying them on AWS and Azure. In my work, I design RAG pipelines and LLM-based agents to improve business processes and customer experiences. I thrive in collaborative teams, bridging data science and software engineering to deliver measurable impact such as improved retention and automated support.…I am a data-driven ML engineer with around 4 years of experience in AI, NLP, and data visualization. I enjoy turning messy data into scalable, production-ready models and deploying them on AWS and Azure. In my work, I design RAG pipelines and LLM-based agents to improve business processes and customer experiences. I thrive in collaborative teams, bridging data science and software engineering to deliver measurable impact such as improved retention and automated support.

Amareswari Po tu

Data Scientist, AI Engineer, AI Developer, +2

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I am a data-driven ML engineer with around 4 years of experience in AI, NLP, and data visualization. I enjoy turning messy data into scalable, production-ready models and deploying them on AWS and Azure. In my work, I design RAG pipelines and LLM-based agents to improve business processes and customer experiences. I thrive in collaborative teams, bridging data science and software engineering to deliver measurable impact such as improved retention and automated support.…I am a data-driven ML engineer with around 4 years of experience in AI, NLP, and data visualization. I enjoy turning messy data into scalable, production-ready models and deploying them on AWS and Azure. In my work, I design RAG pipelines and LLM-based agents to improve business processes and customer experiences. I thrive in collaborative teams, bridging data science and software engineering to deliver measurable impact such as improved retention and automated support.

Available to hire

I am a data-driven ML engineer with around 4 years of experience in AI, NLP, and data visualization. I enjoy turning messy data into scalable, production-ready models and deploying them on AWS and Azure. In my work, I design RAG pipelines and LLM-based agents to improve business processes and customer experiences.

I thrive in collaborative teams, bridging data science and software engineering to deliver measurable impact such as improved retention and automated support.

Skills

Experience Level

Expert

Expert

Expert

Expert

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Expert

Work Experience

Machine Learning Engineer at Charles Schwab, USA

January 1, 2024 - November 24, 2025

Developed NLP models with pre-trained transformers (BERT, RoBERTa, GPT-2) for text classification, sentiment analysis, and QA, achieving 90%+ accuracy. Architected Generative AI modules (GANs, LLMs) for data augmentation, boosting downstream performance by 18%. Implemented Retrieval-Augmented Generation (RAG) pipelines using LangChain, OpenAI, and FAISS for real-time contextual Q&A over internal financial documentation (80%+ precision). Built LangGraph-based autonomous agents powering internal customer service tools, improving multi-turn reasoning and automation. Contributed to an automated support assistant with NLTK and spaCy, reducing manual ticket triage by 50%. Built a Random Forest churn predictor (F1 0.92), enabling targeted retention campaigns and a 20% churn reduction.

Machine Learning Engineer at Magna Infotech, India

July 1, 2022 - July 1, 2022

Performed core NLP tasks (tokenization, stemming, lemmatization, POS tagging) with NLTK; improved F1 score of a text classification model for sentiment analysis by ~15%, leading to a 10% rise in customer satisfaction. Collaborated with data scientists using Databricks notebooks for data exploration, feature engineering, and model development. Implemented advanced statistical modeling with XGBoost, resulting in more accurate predictions. Developed an image processing system to track pipeline construction from drone videos using TensorFlow-based segmentation.