
Timeline
About me
EDA|StatisticalAnalysis|TF|Keras|PyTorch|Databricks|PySpark|Kafka|MLOps|SQL|Snowflake|Numpy|Pandas|AWS|Azure|RAG|NN|LSTM|RNN|Transfer Learning|RLKubernetes|Docker|SAP|Gradeint Boosting|XGboost|Data Pipelines
Education

Velagapudi ramakrishna siddhartha engineering college
2016 - 2020Bachelor of technology electrical, electronic and communications engineering technology/technician
University of michigan-dearborn
2022 - 2023Master of science - ms data science
Experience

Indian institute of technology hyderabad
Apr 2017 - Jul 2017Machine learning intern.webp)
Andhra pradesh state skill development corporation (apssdc)
Apr 2018 - Mar 2020Ml engineerClient: Shrimp SMS(Smart Monitoring System)1. As a Machine learning Engineer focused on developing a smart monitoring system for shrimp ponds. 2. We used IoT sensors and machine learning models to maintain optimal environmental conditions, ensuring shrimp health. 3. Managed data lake storage for compliance and efficient access while building data warehousing solutions to enhance query performance. 4. Trained models to predict water quality using historical data and AutoML Vision for shrimp behavior classification. 5. Developed automated control algorithms based on predictive models and optimized them using hyperparameter tuning, XGBoost, and LightGBM. 6. Implemented segmentation models with K-means for targeted strategies and used Spark for real-time data processing. Show less

Capgemini
Nov 2020 - Aug 2022Senior software engineer1. Worked on Azure Databricks, Data Factory, and Snowflake to design and optimize ETL pipelines. 2. Utilized dbt and PySpark for data transformations, integrated real-time data feeds, and managed data lakes and warehousing. 3. I also developed Power BI dashboards, ensuring data accuracy, and optimizing performance for efficient data-driven decision-making.

Cresido analytics
Apr 2023 - nowMachine learning engineer1. Streamlined ML model training and deployment using MLFlow, optimizing Databricks cluster performance and resource utilization. 2. Deployed TensorFlow models using BigQuery ML and SageMaker for scalable predictions. 3. Managed Kubernetes for model deployment, utilizing Prometheus and Grafana for continuous monitoring. 4. Developed a chatbot leveraging RAG with LLAMA3 for GenAI applications, optimized LLMs using transfer learning, and enhanced model performance with techniques like PCA, BERT, GPT, and fine-tuning for robust results. Show less
Licenses & Certifications
- View certificate

Google cloud platform for machine learning essential training
LinkedinMay 2025 - View certificate

Reinforcement learning foundations
LinkedinApr 2025 - View certificate

Fine-tuning for llms: from beginner to advanced
LinkedinMar 2025 - View certificate

Ai agents fundamentals
Hugging faceFeb 2025 - View certificate

Introduction to large language models
LinkedinAug 2024 - View certificate

Learning vertex ai: mlops with google cloud
LinkedinAug 2024 - View certificate

Mlops essentials: model development and integration
LinkedinAug 2024 .webp)
Aws certified solutions architect
Amazon web services (aws)Apr 2024
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