Ritik Naresh Raut

AI/ML Engineer

Alabama, US.

About

Accomplished AI/ML Engineer with 4 years of expertise, specializing in designing, developing, and deploying enterprise-scale machine learning and deep learning solutions across finance, legal, and technology domains. Proficient in building and fine-tuning NLP and transformer-based models, including BERT, GPT, and custom LLMs, to deliver real-time inference and actionable business insights. Leverages MLOps, distributed processing, and advanced NLP techniques to optimize model accuracy, reduce operational costs, and enhance decision-making.

Work

JPMorgan Chase&co

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AI/ML Engineer

Alabama, Alabama, US

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Summary

Leads the development and deployment of enterprise-scale AI/ML and deep learning solutions, optimizing data pipelines and enhancing model performance for critical financial and legal applications.

Highlights

Curated and preprocessed over 5M internal documents using Python (pandas, NumPy, spaCy, NLTK), improving input quality and reducing irrelevant model outputs by 25%.

Built and fine-tuned PyTorch-based LLMs using Hugging Face Transformers, reducing manual content preparation time by 35% for 60,000+ employees via real-time content generation.

Integrated FAISS-based retrieval-augmented generation (RAG) with LLM pipelines, increasing factual accuracy of outputs by 20% through relevant internal document referencing.

Optimized GPU cluster training pipelines on AWS with incremental retraining strategies, reducing model training time by 40% and enabling weekly model updates.

Led A/B testing of model prompts and retrieval strategies, achieving a 25% reduction in manual editing and improved trust in AI-generated content.

IBM

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Machine Learning Engineer

Unknown, Unknown, India

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Summary

Designed and implemented end-to-end NLP pipelines and machine learning models, significantly reducing manual effort and enhancing accuracy for contract analysis and risk assessment.

Highlights

Designed end-to-end NLP pipelines using spaCy and NLTK, structuring over 50,000 unstructured contracts and reducing manual review effort by 60%.

Developed and trained scikit-learn models for clause classification and risk assessment, achieving 92% accuracy on unseen contract data.

Optimized ETL workflows and data storage in SQL Server, reducing query execution time by 40% and enabling efficient retrieval of structured contract data.

Implemented automated model retraining pipelines using Python, AWS S3, and Docker, maintaining over 90% model accuracy over 2.5 years in production.

Optimized processing pipelines for scalability, reducing total contract batch processing time from 4 hours to 1.5 hours, enabling near real-time analysis.

Education

University of Alabama at Birmingham

Birmingham, Alabama, United States of America
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Master of Science Computer Science Grade:

Nagpur University

Nagpur, Maharashtra, India
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Bachelor of Engineering Computer Science and Engineering Grade:

Skills

Methodologies

SDLC, Agile, Waterfall.

Programming Language

Python, Java, SQL, Bash, JavaScript, HTML, CSS.

ML/DL Frameworks

TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost, LightGBM, CatBoost, Hugging Face Transformers.

AI & ML Techniques

Regression, Random Forest, Association Rules, Support Vector Machine, Logistic Regression, K-Means, Clustering, Classification, SVM, KNN.

Deep Learning and NLP

Neural Networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), LSTMs, Text Preprocessing, Named Entity Recognition (NER), Sentiment Analysis, Transformer Models (BERT, GPT).

Web & API Development

Django, Flask, REST APIs, Bootstrap.

Data Processing

Pandas, NumPy, Dask, Apache Spark, PySpark, Data Structures, Algorithms.

Data Engineering

Apache Airflow, Kafka, ETL Pipelines, Data Lakes, Feature Store, MLflow.

Database Management

PostgreSQL, MySQL, MongoDB, BigQuery, Redis, Database Management.

Cloud & DevOps

AWS (SageMaker, EC2, Lambda, S3), Docker, Kubernetes, Linux, Git, CI/CD.

Other tools/ Skills

Tableau, Power BI, Prometheus, Grafana, ELK Stack, TensorBoard, PyTest, UnitTest, Postman, A/B Testing, Data Validation, Data Visualization, OOPS, Design Thinking.