Available to hire
I am an AI/ML Engineer with 2+ years of experience designing, developing, and deploying machine learning models and AI-driven solutions. I am proficient in Python, TensorFlow, PyTorch, Scikit-learn, and OpenCV, with strong focus on deep learning, NLP, and computer vision. I thrive in end-to-end ML pipelines, from data preprocessing to deployment using Docker, Kubernetes, and CI/CD.
I have hands-on experience deploying models on cloud platforms like AWS, GCP, and Azure, building scalable MLOps workflows, and collaborating across cross-functional teams to translate business needs into data-driven solutions.
Skills
Language
English
Fluent
Work Experience
AI Engineer at eBay
June 1, 2024 - PresentDesigned 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 to behavioral patterns and purchase history. Optimized features for a deep learning-based recommendation model (Autoencoder), achieving 92% accuracy in predicting user preferences through hyperparameter tuning and cross-validation using TensorFlow, Keras, and Scikit-Learn. Conducted comprehensive data preprocessing and ETL pipeline development using Python (Pandas, NumPy, Scikit-Learn, PySpark), Scala, SQL, and Apache Spark, ensuring high-quality, structured data for model training. Utilized C for implementing performance-critical components and system-level data handling modules within the recommendation pipeline, enhancing computational efficiency.
Data Scientist at Genpact
December 1, 2023 - September 8, 2025Developed a predictive model for property sale prices using features, applying machine learning algorithms including Linear Regression, Random Forest, Gradient Boosting, XGBoost, and LightGBM. Conducted comprehensive data preprocessing on real estate text data from Zillow and Realtor.com, effectively handling 5% missing values through imputation, normalization, and standardization to enhance model accuracy and robustness. Enhanced feature sets using advanced NLP techniques such as tokenization, stemming, lemmatization, named entity recognition (NER), and sentiment analysis with NLTK, SpaCy, and TextBlob. Implemented ETL processes using Python, Scala, and SQL, efficiently extracting data from APIs, CSVs, and web-scraped sources, transforming modeling, and loading it into structured formats, ensured high integrity, reliability, and accessibility. Conducted A/B testing and statistical analysis using SciPy, Statsmodels, and custom C-based evaluation modules to compare model performance acr
AI Engineer at eBay
June 1, 2024 - PresentDesigned 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. Optimized features for a deep learning-based recommender (Autoencoder), achieving 92% accuracy in predicting user preferences through hyperparameter tuning and cross-validation. Conducted comprehensive data preprocessing and ETL pipeline development using Python, Scala, SQL, and Apache Spark. Deployed ML models on AWS (SageMaker for training, Lambda for inference, Redshift for data warehousing) with real-time monitoring via CloudWatch & Prometheus.
Data Scientist at Genpact
December 1, 2023 - September 8, 2025Developed a predictive model for property sale prices using Linear Regression, Random Forest, Gradient Boosting, XGBoost, and LightGBM. Performed preprocessing on real estate text data, handling missing values, normalization, and standardization. Enhanced features with NLP techniques (tokenization, stemming, lemmatization, NER, sentiment analysis) and implemented ETL processes from APIs, CSVs, and web-scraped sources. Conducted A/B testing and statistical analysis to guide model selection, and created 20+ visualizations to support stakeholders.
AI Engineer at eBay
June 1, 2024 - PresentDesigned 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 to behavioral patterns and purchase history. Optimized features for a deep learning-based recommendation model (Autoencoder), achieving 92% accuracy in predicting user preferences through hyperparameter tuning and cross-validation using TensorFlow, Keras, and Scikit-Learn. Conducted comprehensive data preprocessing and ETL pipeline development using Python (Pandas, NumPy, Scikit-Learn, PySpark), Scala, SQL, and Apache Spark, ensuring high-quality, structured data for model training. Deployed ML models on AWS Cloud, leveraging AWS SageMaker for model training, Lambda for serverless inference, Amazon Redshift for data warehousing, and CloudWatch & Prometheu
Data Scientist at Genpact
December 1, 2023 - September 8, 2025Developed a predictive model for property sale prices using features, applying machine learning algorithms including Linear Regression, Random Forest, Gradient Boosting, XGBoost, and LightGBM. Conducted comprehensive data preprocessing on real estate text data from Zillow and Realtor.com, effectively handling 5% missing values through imputation, normalization, and standardization to enhance model accuracy and robustness. Enhanced feature sets using advanced NLP techniques such as tokenization, stemming, lemmatization, named entity recognition (NER), and sentiment analysis with NLTK, spaCy, and TextBlob. Implemented ETL processes using Python, Scala, and SQL, efficiently extracting data from APIs, CSVs, and web-scraped sources, transforming modeling, and loading it into structured formats, ensured high integrity, reliability, and accessibility. Conducted A/B testing and statistical analysis using SciPy, Statsmodels, and custom C-based evaluation modules to compare model performance acr
Education
Master of Science at Arkansas Tech University
January 1, 2024 - December 1, 2025Bachelor of Technology at Anurag College of Engineering
August 1, 2020 - July 1, 2023Master of Science at Arkansas Tech University
January 1, 2024 - December 31, 2025Bachelor of Technology at Anurag College of Engineering
August 1, 2020 - July 1, 2023Master of Science at Arkansas Tech University
January 11, 2030 - September 8, 2025Bachelor of Technology at Anurag College of Engineering
August 1, 2020 - July 1, 2023Qualifications
Industry Experience
Software & Internet, Computers & Electronics, Professional Services, Media & Entertainment
Skills
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