Akshay Nagireddy

About Akshay Nagireddy

AI/ML Engineer with a rich history of designing, building, and deploying scalable AI and machine learning solutions for Fortune 150 clientele to tackle diverse challenges across industries. Beyond practical applications, I also possess a strong research background, having undertaken in-depth studies and projects at Northeastern University, Boston. My research endeavors include fine-tuning state-of-the-art models, exploring data modalities, building highly scalable machine learning and deep learning algorithms: Python (Pandas, NumPy, PyTorch, Transformers, SciPy, Scikit-learn, TensorFlow, Selenium), R, Java, Bash & : MySQL, NoSQL, Snowflake, Oracle DB, MongoDB, Hadoop, Spark, Hive, Airflow & : Streamlit, Flask, Power BI, Tableau, R Shiny, Excel & : Regression, Classification, Clustering, A/B testing, Time-Series, Transfer Learning, NLP, Gen AI : Successfully fine-tuned and optimized state-of-the-art AI models, consistently achieving accuracies exceeding 90% across diverse projects. Streamlined and enhanced data processing and experimentation workflows, resulting in reductions of up to 80% in data handling and analysis times. Spearheaded critical sentiment analysis projects, implementing advanced text classification techniques that surpassed benchmark accuracies, reaching over 91% in sentiment classification tasks. Developed and maintained automated data pipelines, facilitating efficient data extraction and cleansing, which accelerated sentiment extraction and review aggregation processes. Implemented cost-saving modeling strategies, contributing to substantial reductions in annualized costs and improved operational margins. Played a key role in sales forecasting, delivering models with exceptional precision, achieving a MAPE of approximately 1.37%: Alongside my Master\'s degree, I hold a Bachelor of Technology in Computer Science from Jawaharlal Nehru Technological University, where I delved into predictive analytics, data warehousing, and software engineering: Passionate about leveraging data to drive business decisions and insights. Open to opportunities in Data Science, NLP Engineering, Business Intelligence, and Data Analysis where I can harness my skills and experience to bring about innovation and efficiency.

Experience

1. Senior Ai Engineer

   Capital One

   Feb 2025 — Present · Boston, MA, US

Education

• Northeastern University

  Master's degree, Data Analytics Engineering

• Jawaharlal Nehru Technological University

  Bachelor of Technology - BTech, Computer Science