Artificial Intelligence Machine Learning

Jai Raj Choudhary

312-***-**** ******.**@*****.*** https://www.linkedin.com/in/jai-raj-choudha https://github.com/jairajc Education

Illinois Institute Of Technology Chicago, IL

Masters of Science in Artificial Intelligence 2022 – 2025

• Relevant Coursework: Machine Learning, Natural Language Processing, Computer Vision, AI, Statistics, ML in Finance University Of Petroleum & Energy Studies Dehradun, India Bachelors in Technology(B.Tech) in Computer Science 2018 – 2022 Experience

Data Scientist Jan. 2023 – Dec. 2024

Lineal Services, LLC Chicago, IL

• Optimized multi-language detection pipeline, slashing processing time from 27 to 7 hours for 1M+ documents leveraging SQL and Kubernetes, while spearheading ML-based content classification, boosting efficiency by 74%

• Engineered a document structuring engine for the Relativity platform, enhancing email text classification and generating

$350K quarterly revenue through proprietary software development

• Designed a real-time data processing framework with Python, Apache Kafka, and TensorFlow Serving, improving NLP model accuracy by 25%, processing 3M+ messages monthly, and cutting costs by 20% Graduate Research Assistant Sep. 2022 – Dec. 2022

SCS Lab, Illinois Institute of Technology Chicago, IL

• Developed CNN-based models with TensorFlow and OpenCV for medical image segmentation and classification, improving cancer and diabetic retinopathy diagnosis accuracy by 15%

• Implemented advanced image processing for real-time patient monitoring via facial recognition, boosting post-operative care efficiency by 30% and enabling quantitative well-being assessment

• Integrated AI-driven diagnostic tools into clinical workflows, collaborating across departments to reduce diagnostic processing time by 40% and streamline patient care delivery

Data Scientist Jan. 2022 – Aug. 2022

Mavenmagnet New York New York, NY

• Developed NLP-driven data cleaning and analysis system, integrating sentiment analysis and entity recognition, achieving a 35% improvement in recall and 17% boost in processing accuracy compared to traditional tools

• Optimized machine learning models with Scikit-learn and TensorFlow, increasing precision by 0.20 and accelerating data workflows by 25% for large datasets

• Implemented topic modeling and keyboard extraction algorithm with NLTK and Gensim, refining SEO strategies and driving 15% increase in website traffic and 10% boost in user engagement through improved content relevance NLP Engineer May. 2021 – Dec. 2021

IBM Delhi, India

• Architectured AI-powered customer service chatbot using IBM Watson Assistant with advanced dependency parsing and intent recognition, reducing query response time by 40% and improving user satisfaction by 25%

• Implemented sentiment analysis algorithms leveraging IBM’s NLU technology to enhance personalized shopping experiences, driving a 30% increase in engagement and a 14% boost in conversion rates Projects

Financial Market Insights Platform Python, R, Machine Learning, Data Engineering, Bloomberg API

• Developed a financial market insights platform with Python and R, leveraging AWS and Bloomberg API for real-time data ingestion, reducing analysis time by 60% across 4 asset classes

• Implemented predictive models with PyTorch and TensorFlow for asset pricing and NLP-based sentiment analysis, achieving 85% accuracy in short-term market forecasting

• Designed a risk assessment dashboard using Tableau and Power BI, integrating data from MongoDB and SQL databases, improving portfolio risk management by 40%

AI Self-driving car Python, Reinforcement Learning, Hardware Integration, Java, C#

• Engineered self-driving system with OpenCV and TensorFlow, achieving 85% accuracy in detection across 10K+ images

• Developed reinforcement learning algorithms with PyTorch and sensor fusion, optimizing behavior and improving accuracy

• Developed robust hardware integration framework using C++ and MATLAB, resulting in 20% increased in reliability and seamless communication between sensors, processors, and control systems Technical Skills

Languages: Python, R, Java, C++, C#, MATLAB, SQL, Julia AI/ML Frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn, MLFlow, NLTK, SpaCy, OpenCV Cloud/Infrastructure: AWS, Azure, GCP, Databricks, Kubernetes, Docker, MLOps, Airflow, Spark Data/Visualization Tools:Tableau, Power BI, Postman, MongoDB, Salesforce, A/B Testing, DAG Core Skills: Natural Language Processing, Language Modeling, Machine Learning, Deep Learning, Computer Vision, Data Analysis, Statistics, Feature Engineering, Model Deployment

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