Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I'm Sai Vivek Reddy Gankidi, a Generative AI Engineer and Machine Learning Developer with over 4 years of experience crafting, building, and deploying machine learning systems in production environments. I specialize in generative AI, Retrieval-Augmented Generation (RAG), and fine-tuning large language models for domain-specific solutions. I'm passionate about leveraging AI to solve real-world problems while improving model accuracy and streamlining processes. I have a strong background in Python programming and have worked extensively with TensorFlow, Scikit-learn, and LangChain. I've had the privilege of deploying scalable SaaS solutions serving over 1,000 users, and my experience spans multiple industries and cloud platforms like AWS and Azure. I enjoy building intelligent systems that make a tangible difference.…Hi, I'm Sai Vivek Reddy Gankidi, a Generative AI Engineer and Machine Learning Developer with over 4 years of experience crafting, building, and deploying machine learning systems in production environments. I specialize in generative AI, Retrieval-Augmented Generation (RAG), and fine-tuning large language models for domain-specific solutions. I'm passionate about leveraging AI to solve real-world problems while improving model accuracy and streamlining processes. I have a strong background in Python programming and have worked extensively with TensorFlow, Scikit-learn, and LangChain. I've had the privilege of deploying scalable SaaS solutions serving over 1,000 users, and my experience spans multiple industries and cloud platforms like AWS and Azure. I enjoy building intelligent systems that make a tangible difference.

Sai Vivek Reddy Gankidi

AI Engineer, Data Scientist, AI Developer





Hi, I'm Sai Vivek Reddy Gankidi, a Generative AI Engineer and Machine Learning Developer with over 4 years of experience crafting, building, and deploying machine learning systems in production environments. I specialize in generative AI, Retrieval-Augmented Generation (RAG), and fine-tuning large language models for domain-specific solutions. I'm passionate about leveraging AI to solve real-world problems while improving model accuracy and streamlining processes. I have a strong background in Python programming and have worked extensively with TensorFlow, Scikit-learn, and LangChain. I've had the privilege of deploying scalable SaaS solutions serving over 1,000 users, and my experience spans multiple industries and cloud platforms like AWS and Azure. I enjoy building intelligent systems that make a tangible difference.…Hi, I'm Sai Vivek Reddy Gankidi, a Generative AI Engineer and Machine Learning Developer with over 4 years of experience crafting, building, and deploying machine learning systems in production environments. I specialize in generative AI, Retrieval-Augmented Generation (RAG), and fine-tuning large language models for domain-specific solutions. I'm passionate about leveraging AI to solve real-world problems while improving model accuracy and streamlining processes. I have a strong background in Python programming and have worked extensively with TensorFlow, Scikit-learn, and LangChain. I've had the privilege of deploying scalable SaaS solutions serving over 1,000 users, and my experience spans multiple industries and cloud platforms like AWS and Azure. I enjoy building intelligent systems that make a tangible difference.

Available to hire

Hi, I’m Sai Vivek Reddy Gankidi, a Generative AI Engineer and Machine Learning Developer with over 4 years of experience crafting, building, and deploying machine learning systems in production environments. I specialize in generative AI, Retrieval-Augmented Generation (RAG), and fine-tuning large language models for domain-specific solutions. I’m passionate about leveraging AI to solve real-world problems while improving model accuracy and streamlining processes.

I have a strong background in Python programming and have worked extensively with TensorFlow, Scikit-learn, and LangChain. I’ve had the privilege of deploying scalable SaaS solutions serving over 1,000 users, and my experience spans multiple industries and cloud platforms like AWS and Azure. I enjoy building intelligent systems that make a tangible difference.

Skills

Experience Level

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Hindi

Advanced

Work Experience

Machine Learning Engineer at Synoptek India Pvt Ltd

May 1, 2021 - November 30, 2023

Improved prediction accuracy by 18% via supervised learning pipelines utilizing Scikit-learn with Logistic Regression, Random Forest, and SVM models. Streamlined preprocessing for multiple datasets using Pandas and NumPy for consistent data treatment. Developed neural network prototypes using Keras and TensorFlow 1.x to evaluate deep learning applications. Engineered time-based, statistical, and domain-specific features improving dataset quality. Employed robust evaluation methods such as k-fold cross-validation, ROC-AUC, and F1-score to ensure balanced performance. Reduced exploratory iteration time by 30% through integrated Jupyter Notebooks with reusable Python snippets. Enhanced pipeline modularity by creating custom data transformers in Scikit-learn. Tuned hyperparameters via GridSearchCV to improve model generalization, particularly for imbalanced datasets. Used visualization tools like Matplotlib and Seaborn for diagnostics. Normalized semi-structured data from REST APIs and JSO

Python Developer – ML Toolkit Support at TechAhead

October 1, 2019 - May 1, 2021

Developed backend Python modules for data formatting, schema mapping, and transformations using Pandas and NumPy to improve code reuse and workflow efficiency. Created lightweight Flask APIs to expose utility functions like data validation and missing value imputation, promoting integration with ML notebooks. Maintained Scikit-learn wrapper functions for preprocessing tasks reducing bugs by 30%. Refactored data scripts into Python packages with semantic versioning to reduce code duplication. Used Jupyter Notebooks for rapid prototyping and validation. Implemented unit tests and data validation with unittest framework to enhance reliability. Developed CLI utilities with argparse to enable non-technical users to perform validation tasks. Integrated structured logging to improve debugging and observability. Containerized Flask services with Docker for consistent deployment across environments.