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I am an AI/ML Engineer with 4+ years of experience building and deploying machine learning, generative AI, and large language models. I specialize in Python, TensorFlow, PyTorch, and scikit-learn for predictive analytics, NLP, computer vision, and generative AI applications. I have hands-on experience in data preprocessing, feature engineering, model optimization, evaluation, and deploying models using MLOps pipelines on AWS and GCP. I enjoy translating business needs into scalable AI solutions and presenting insights via dashboards to drive data-informed decisions.…I am an AI/ML Engineer with 4+ years of experience building and deploying machine learning, generative AI, and large language models. I specialize in Python, TensorFlow, PyTorch, and scikit-learn for predictive analytics, NLP, computer vision, and generative AI applications. I have hands-on experience in data preprocessing, feature engineering, model optimization, evaluation, and deploying models using MLOps pipelines on AWS and GCP. I enjoy translating business needs into scalable AI solutions and presenting insights via dashboards to drive data-informed decisions.

Monisha Nettem

AI Engineer, AI Developer, Data Scientist, +2

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I am an AI/ML Engineer with 4+ years of experience building and deploying machine learning, generative AI, and large language models. I specialize in Python, TensorFlow, PyTorch, and scikit-learn for predictive analytics, NLP, computer vision, and generative AI applications. I have hands-on experience in data preprocessing, feature engineering, model optimization, evaluation, and deploying models using MLOps pipelines on AWS and GCP. I enjoy translating business needs into scalable AI solutions and presenting insights via dashboards to drive data-informed decisions.…I am an AI/ML Engineer with 4+ years of experience building and deploying machine learning, generative AI, and large language models. I specialize in Python, TensorFlow, PyTorch, and scikit-learn for predictive analytics, NLP, computer vision, and generative AI applications. I have hands-on experience in data preprocessing, feature engineering, model optimization, evaluation, and deploying models using MLOps pipelines on AWS and GCP. I enjoy translating business needs into scalable AI solutions and presenting insights via dashboards to drive data-informed decisions.

Available to hire

I am an AI/ML Engineer with 4+ years of experience building and deploying machine learning, generative AI, and large language models. I specialize in Python, TensorFlow, PyTorch, and scikit-learn for predictive analytics, NLP, computer vision, and generative AI applications.

I have hands-on experience in data preprocessing, feature engineering, model optimization, evaluation, and deploying models using MLOps pipelines on AWS and GCP. I enjoy translating business needs into scalable AI solutions and presenting insights via dashboards to drive data-informed decisions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

AI/ML Engineer at M&T Bank USA

September 1, 2024 - Present

Engineered and deployed large language model (LLM) solutions using LLaMA, GPT-4, and Claude; developed retrieval-augmented generation (RAG) pipelines with LangChain and LlamaIndex; orchestrated GANs for synthetic financial data to enhance model robustness; optimized NLP pipelines for named entity recognition; built predictive credit risk models with XGBoost; designed scalable MLOps pipelines on Google Cloud Platform (Vertex AI, Cloud Build, Kubeflow); integrated Redis caching for faster real-time interactions; created Power BI dashboards to visualize model performance and KPIs; collaborated with cross-functional teams to translate business needs into ML solutions.

Machine Learning Engineer at LTIMindtree India

August 1, 2020 - July 1, 2023

Established predictive models using Decision Trees, Random Forests, and Naive Bayes to identify high-risk customers; improved CNN/BERT-based document classification and sentiment analysis; performed EDA and hypothesis testing to inform strategy; implemented end-to-end ML pipelines with Scikit-learn, Keras, and PyTorch; designed cohort analysis dashboards in Tableau for targeted campaigns; integrated AWS Kinesis and Athena for real-time data processing to support ML workflows.