Available to hire
I am Mani Kishore Kamanaboina, a Machine Learning Engineer with 4+ years of experience designing, developing, and deploying end-to-end AI and data-driven solutions across cloud platforms. I am proficient in Python, SQL, TensorFlow, PyTorch, and NLP frameworks to build scalable ML models, generative AI systems, and computer vision applications.
I have hands-on experience with MLOps practices, including CI/CD, model monitoring, and containerization with Docker and Kubernetes. I excel at building data pipelines, optimizing feature engineering, and delivering actionable insights through predictive analytics, deep learning, and advanced statistical modeling to support business growth and innovation.
Skills
Experience Level
Language
English
Fluent
Work Experience
Machine Learning Engineer at NVIDIA
September 1, 2024 - November 5, 2025Engineered generative AI and LLM-based applications using LangChain, Hugging Face, and OpenAI APIs; designed NLP pipelines for classification, summarization, and sentiment analysis using BERT, GPT, and Transformer-based models. Automated ETL workflows with Airflow, Spark, and Databricks, reducing data processing latency and enhancing pipeline reliability. Deployed ML models using MLflow, Docker, and Kubernetes, implementing CI/CD practices to increase release frequency. Built interactive dashboards with Tableau and Power BI, enabling business stakeholders to access real-time analytics effectively. Collaborated with product and research teams to design scalable AI-driven solutions aligned with organizational objectives.
Machine Learning Engineer at Microsoft
July 1, 2023 - July 1, 2023Developed predictive analytics and recommendation systems using supervised and unsupervised ML techniques, improving forecast accuracy significantly. Applied deep learning models like CNNs and RNNs using TensorFlow and PyTorch for image recognition and time-series tasks. Built large-scale data pipelines with AWS Glue, Redshift, and Azure Synapse, enhancing data scalability and processing speed. Designed ML workflows in Python, Spark, and SQL, reducing manual reporting processes and enabling automated insights. Created advanced BI dashboards with Tableau and Power BI to deliver business-critical performance metrics efficiently. Applied feature engineering, hyperparameter tuning, and cross-validation to improve ML model accuracy and reliability. Established robust data governance frameworks ensuring compliance, consistency, and 99% accuracy in business-critical datasets. Collaborated with cross-functional teams to integrate machine learning solutions into enterprise products and platform
Machine Learning Engineer at Microsoft
August 1, 2020 - July 1, 2023Developed predictive analytics and recommendation systems using supervised and unsupervised ML techniques, improving forecast accuracy significantly. Applied deep learning models like CNNs and RNNs using TensorFlow and PyTorch for image recognition and time-series tasks. Built large-scale data pipelines with AWS Glue, Redshift, and Azure Synapse, enhancing data scalability and processing speed. Designed ML workflows in Python, Spark, and SQL, reducing manual reporting processes and enabling automated insights. Created advanced BI dashboards with Tableau and Power BI to deliver business-critical performance metrics efficiently. Applied feature engineering, hyperparameter tuning, and cross-validation to improve ML model accuracy and reliability. Established robust data governance frameworks ensuring compliance, consistency, and 99% accuracy in business-critical datasets. Collaborated with cross-functional teams to integrate machine learning solutions into enterprise products and platform
Education
Master's in Data Science at Florida State University, Tallahassee
January 11, 2030 - November 5, 2025Master's in Data Science at Florida State University, Tallahassee
January 11, 2030 - November 5, 2025Master's in Data Science at Florida State University
January 11, 2030 - January 14, 2026Qualifications
Database and SQL for Data Science with Python
January 11, 2030 - November 5, 2025Microsoft Certified: Azure Data Scientist Associate
March 1, 2025 - March 1, 2026Microsoft Certified: Power BI Data Analyst Associate
March 1, 2025 - March 1, 2026Database and SQL for Data Science with Python
January 11, 2030 - January 14, 2026Microsoft Certified: Azure Data Scientist Associate
March 1, 2025 - March 1, 2026Microsoft Certified: Power BI Data Analyst Associate
March 1, 2025 - March 1, 2026Industry Experience
Software & Internet, Media & Entertainment, Professional Services, Computers & Electronics
Skills
Experience Level
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