I am a Python developer with over three years of experience building AI-powered web applications and data-driven solutions. I specialize in designing, developing, deploying, and maintaining scalable systems using Python, Django, and Flask. I have hands-on experience building ML models (regression, decision trees, random forests, XGBoost) and deploying CNNs for computer vision tasks, as well as working with large language models, RAG pipelines, and Named Entity Recognition. I work across the full AI/ML lifecycle, including data pipelines, RESTful APIs, model serving in cloud environments (AWS, GCP, Azure), and end-to-end MLOps. I value performance, scalability, and user experience, and I enjoy visualizing insights with Tableau and Power BI. I am comfortable collaborating with cross-functional teams and delivering production-ready AI-powered solutions.

Maharshi Badheka

I am a Python developer with over three years of experience building AI-powered web applications and data-driven solutions. I specialize in designing, developing, deploying, and maintaining scalable systems using Python, Django, and Flask. I have hands-on experience building ML models (regression, decision trees, random forests, XGBoost) and deploying CNNs for computer vision tasks, as well as working with large language models, RAG pipelines, and Named Entity Recognition. I work across the full AI/ML lifecycle, including data pipelines, RESTful APIs, model serving in cloud environments (AWS, GCP, Azure), and end-to-end MLOps. I value performance, scalability, and user experience, and I enjoy visualizing insights with Tableau and Power BI. I am comfortable collaborating with cross-functional teams and delivering production-ready AI-powered solutions.

Available to hire

I am a Python developer with over three years of experience building AI-powered web applications and data-driven solutions. I specialize in designing, developing, deploying, and maintaining scalable systems using Python, Django, and Flask. I have hands-on experience building ML models (regression, decision trees, random forests, XGBoost) and deploying CNNs for computer vision tasks, as well as working with large language models, RAG pipelines, and Named Entity Recognition.

I work across the full AI/ML lifecycle, including data pipelines, RESTful APIs, model serving in cloud environments (AWS, GCP, Azure), and end-to-end MLOps. I value performance, scalability, and user experience, and I enjoy visualizing insights with Tableau and Power BI. I am comfortable collaborating with cross-functional teams and delivering production-ready AI-powered solutions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Work Experience

Python Developer with AI/ML at State Street
August 1, 2024 - Present
Developed a highly efficient ETL process using Python and SQL to load data from multiple sources, enabling timely and accurate analytics. Implemented regression models to forecast business outcomes on structured datasets and optimized decision-tree classifiers for feature selection and interpretable predictions. Built and maintained Python applications using Django, Flask, and Pyramid, and developed multi-threaded web services with CherryPy and Web2py. Managed cloud-based deployments in Azure, tracked service issues, and implemented CI/CD pipelines using Docker and AWS ECS. Built and deployed Random Forest and XGBoost models to improve classification accuracy on high-dimensional data, and leveraged LangChain to orchestrate LLM workflows in production AI pipelines. Conducted comprehensive testing with Pytest and Jenkins to ensure code quality and stability.
Python Developer with AI/ML at Groovy Webs
April 1, 2023 - October 8, 2025
Built Named Entity Recognition pipelines to extract domain-specific entities from unstructured text. Worked with Generative Adversarial Networks (GANs) to generate synthetic image datasets for model training. Developed RESTful services using Flask, and performed data preprocessing with NumPy and Pandas. Built data visualization dashboards in Tableau and connected to MySQL via a Python-based database connector. Contributed to deployment on Google Cloud Storage and collaborated on hyperparameter tuning with GridSearchCV and RandomizedSearch. Assisted in code reviews and used Git for version control.
Python Developer with AI/ML at Groovy Webs
December 1, 2021 - April 1, 2023
Built Named Entity Recognition pipelines to extract domain-specific entities from unstructured text and developed GAN-based workflows to generate synthetic image datasets for model training. Implemented RESTful services using Flask; performed data preprocessing with NumPy and Pandas. Worked with Web2py and CherryPy; created Tableau dashboards to visualize ML insights. Used MySQL as the backend and connected via MySQLdb. Practiced test-driven development, code reviews, and automated testing. Leveraged Google Cloud Storage for dataset management and ML workflows. Conducted hyperparameter tuning with GridSearchCV/RandomizedSearch and visualized performance with Matplotlib.

Education

Master of Engineering at University of Windsor
January 1, 2023 - January 1, 2024
Bachelor of Technology at Charotar University of Science and Technology
January 1, 2018 - January 1, 2022
Master of Engineering at University of Windsor
January 1, 2023 - January 1, 2024
Bachelor of Technology at Charotar University of Science and Technology
January 1, 2018 - January 1, 2022

Qualifications

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Industry Experience

Software & Internet, Financial Services, Professional Services