Hi, I'm Manaswini Kolipaka, an AI/ML Engineer with over 3 years of experience designing, developing, and deploying machine learning models and AI-driven solutions. I'm skilled in Python, TensorFlow, PyTorch, and various ML frameworks, with a deep passion for deep learning, NLP, computer vision, and MLOps. I enjoy building end-to-end ML pipelines and have experience deploying models on cloud platforms like AWS, GCP, and Azure. I take pride in optimizing and deploying cutting-edge models that solve real-world problems. I've worked on personalized recommendation systems, predictive models, and automated solutions that significantly improve operational efficiency. Outside of work, I'm always eager to learn the latest advancements in AI and collaborate with like-minded professionals.

Manaswini Kolipaka

Hi, I'm Manaswini Kolipaka, an AI/ML Engineer with over 3 years of experience designing, developing, and deploying machine learning models and AI-driven solutions. I'm skilled in Python, TensorFlow, PyTorch, and various ML frameworks, with a deep passion for deep learning, NLP, computer vision, and MLOps. I enjoy building end-to-end ML pipelines and have experience deploying models on cloud platforms like AWS, GCP, and Azure. I take pride in optimizing and deploying cutting-edge models that solve real-world problems. I've worked on personalized recommendation systems, predictive models, and automated solutions that significantly improve operational efficiency. Outside of work, I'm always eager to learn the latest advancements in AI and collaborate with like-minded professionals.

Available to hire

Hi, I’m Manaswini Kolipaka, an AI/ML Engineer with over 3 years of experience designing, developing, and deploying machine learning models and AI-driven solutions. I’m skilled in Python, TensorFlow, PyTorch, and various ML frameworks, with a deep passion for deep learning, NLP, computer vision, and MLOps. I enjoy building end-to-end ML pipelines and have experience deploying models on cloud platforms like AWS, GCP, and Azure.

I take pride in optimizing and deploying cutting-edge models that solve real-world problems. I’ve worked on personalized recommendation systems, predictive models, and automated solutions that significantly improve operational efficiency. Outside of work, I’m always eager to learn the latest advancements in AI and collaborate with like-minded professionals.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Advanced
Hindi
Advanced

Work Experience

AI Engineer at eBay
August 1, 2024 - Present
Designed, developed, and deployed a personalized recommendation engine using collaborative filtering, content-based filtering, autoencoders, and Large Language Models (LLMs), increasing sales by 15% and enhancing customer satisfaction. Implemented K-Means clustering for customer segmentation, improving recommendation precision by tailoring product suggestions based on behavioral patterns and purchase history. Optimized deep learning recommendation model achieving 92% accuracy through hyperparameter tuning and cross-validation using TensorFlow, Keras, and Scikit-learn. Developed ETL pipelines using Python, Scala, SQL, and Apache Spark to ensure high-quality data. Implemented performance-critical components in C for computational efficiency. Deployed models and monitoring solutions on AWS, leveraging services such as SageMaker, Lambda, Redshift, CloudWatch, and Prometheus. Automated model retraining and deployment pipelines using MLOps best practices with Docker, Kubernetes, CI/CD, GitHu
Automation Analyst at Amazon.com
July 31, 2022 - July 18, 2025
Built a predictive model to reduce stockouts of essential medical supplies, improving patient care and operational reliability. Collected and preprocessed large datasets from Electronic Health Records and hospital management systems, ensuring high-quality inputs. Developed a hybrid forecasting model combining ARIMA time-series analysis with machine learning algorithms including Random Forest, XGBoost, and TensorFlow/Keras. Validated models using MAE and RMSE metrics. Deployed the solution on AWS EC2 and S3 for scalability and integration with existing systems. Integrated real-time inventory recommendations and automated purchase order generation, significantly boosting operational efficiency.
Data Scientist at Genpact
December 31, 2020 - July 18, 2025
Developed predictive models for property sale prices using various machine learning algorithms including Linear Regression, Random Forest, Gradient Boosting, XGBoost, LightGBM, and deep learning models such as MLPs and RNNs. Performed comprehensive data preprocessing on real estate text data, handling missing values through imputation, normalization, and standardization. Enhanced feature sets using advanced NLP techniques including tokenization, stemming, lemmatization, named entity recognition, and sentiment analysis with NLTK, spaCy, and TextBlob. Implemented ETL processes using Python, Scala, and SQL for efficient data extraction, transformation, and loading. Conducted A/B testing and statistical analysis to compare model performance and support data-driven decision-making. Created over 20 interactive and static visualizations to illustrate data patterns and results for stakeholders.

Education

Masters of Science at Stevens Institute of Technology
September 1, 2022 - May 31, 2024
Bachelors of Technology at Kakatiya Institute of Technology Science
August 1, 2016 - September 30, 2020

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Retail, Healthcare, Real Estate & Construction, Financial Services