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I am a Machine Learning Engineer with over 4 years of experience designing, deploying, and optimizing scalable machine learning models and pipelines to solve complex business challenges. I am an expert in Python, TensorFlow, PyTorch, and cloud platforms including AWS, Azure, and GCP, with deep knowledge of ML lifecycle management, generative AI, and real-time data processing. I have a proven track record of improving model accuracy by 15%, reducing inference latency by 40%, and automating workflows to boost operational efficiency. As a strong communicator and Agile practitioner, I am adept at mentoring junior engineers, driving cross-functional collaboration, and delivering actionable insights that influence strategic decisions.…I am a Machine Learning Engineer with over 4 years of experience designing, deploying, and optimizing scalable machine learning models and pipelines to solve complex business challenges. I am an expert in Python, TensorFlow, PyTorch, and cloud platforms including AWS, Azure, and GCP, with deep knowledge of ML lifecycle management, generative AI, and real-time data processing. I have a proven track record of improving model accuracy by 15%, reducing inference latency by 40%, and automating workflows to boost operational efficiency. As a strong communicator and Agile practitioner, I am adept at mentoring junior engineers, driving cross-functional collaboration, and delivering actionable insights that influence strategic decisions.

Ramam a Krishna Bonthagorla

AI Engineer, Data Scientist, Developer, +1

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I am a Machine Learning Engineer with over 4 years of experience designing, deploying, and optimizing scalable machine learning models and pipelines to solve complex business challenges. I am an expert in Python, TensorFlow, PyTorch, and cloud platforms including AWS, Azure, and GCP, with deep knowledge of ML lifecycle management, generative AI, and real-time data processing. I have a proven track record of improving model accuracy by 15%, reducing inference latency by 40%, and automating workflows to boost operational efficiency. As a strong communicator and Agile practitioner, I am adept at mentoring junior engineers, driving cross-functional collaboration, and delivering actionable insights that influence strategic decisions.…I am a Machine Learning Engineer with over 4 years of experience designing, deploying, and optimizing scalable machine learning models and pipelines to solve complex business challenges. I am an expert in Python, TensorFlow, PyTorch, and cloud platforms including AWS, Azure, and GCP, with deep knowledge of ML lifecycle management, generative AI, and real-time data processing. I have a proven track record of improving model accuracy by 15%, reducing inference latency by 40%, and automating workflows to boost operational efficiency. As a strong communicator and Agile practitioner, I am adept at mentoring junior engineers, driving cross-functional collaboration, and delivering actionable insights that influence strategic decisions.

Available to hire

I am a Machine Learning Engineer with over 4 years of experience designing, deploying, and optimizing scalable machine learning models and pipelines to solve complex business challenges. I am an expert in Python, TensorFlow, PyTorch, and cloud platforms including AWS, Azure, and GCP, with deep knowledge of ML lifecycle management, generative AI, and real-time data processing.
I have a proven track record of improving model accuracy by 15%, reducing inference latency by 40%, and automating workflows to boost operational efficiency. As a strong communicator and Agile practitioner, I am adept at mentoring junior engineers, driving cross-functional collaboration, and delivering actionable insights that influence strategic decisions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

AI/ML Engineer at Capgemini Technologies

December 1, 2023 - August 26, 2025

Engineered and deployed supervised and unsupervised ML models using Python, Scikit-learn, XGBoost, and PyTorch, improving predictive accuracy by up to 25% and enhancing business decision-making processes. Developed and fine-tuned NLP pipelines with Hugging Face Transformers (BERT, GPT-2) for summarization, sentiment analysis, and intent recognition, achieving task-specific performance improvements of 20% in F1 score. Designed and implemented Generative AI solutions using LangChain, OpenAI API, and Retrieval-Augmented Generation (RAG), reducing query resolution time by 30% and improving knowledge assistant accuracy. Built and deployed RESTful APIs with FastAPI to serve AI models in production, enabling real-time inference with sub-200ms latency for scalable user requests. Automated ML deployment workflows by integrating CI/CD pipelines on AWS and GCP, reducing manual errors by 40% and accelerating model delivery cycles by 35%. Delivered comprehensive data-driven reports on model perform

Python/ML Developer at SparkyNode Analytics

October 1, 2022 - August 26, 2025

Developed and deployed end-to-end customer churn prediction and product recommendation models using XGBoost and Random Forest, increasing model accuracy by 15% and driving targeted retention efforts that reduced churn by 8%. Integrated Hugging Face NLP models (BERT, GPT-2) for document summarization and intent classification, improving text processing accuracy by 20% and automating 30% of manual content review workflows. Built and tested Generative AI prototypes with LangChain and OpenAI API, automating knowledge base query resolution and reducing average response time by 40%, enhancing internal support efficiency. Engineered RESTful APIs using FastAPI to serve AI models with sub-100ms latency, enabling scalable and secure real-time access for front-end applications handling 10K+ daily requests. Conducted exploratory data analysis and visualization with Pandas, NumPy, and Matplotlib, delivering actionable insights that accelerated decision-making timelines by 25%. Designed and maintain

AI/ML Engineer at Capgemini Technologies, India

December 31, 2023 - August 26, 2025

Engineered and deployed supervised and unsupervised ML models including classification, regression, and clustering using Python, Scikit-learn, XGBoost, and PyTorch, improving predictive accuracy by up to 25% and enhancing business decision-making processes. Developed and fine-tuned NLP pipelines with Hugging Face Transformers (BERT, GPT-2) for summarization, sentiment analysis, and intent recognition, achieving 20% improvements in F1 score. Designed generative AI solutions using LangChain, OpenAI API, and Retrieval-Augmented Generation (RAG), reducing query resolution time by 30% and improving knowledge assistant accuracy. Built and deployed RESTful APIs with FastAPI to serve AI models in production, enabling real-time inference with sub-200ms latency and supporting scalable distributed system requests. Automated ML deployment workflows integrating CI/CD pipelines on AWS and GCP, cutting manual errors by 40% and accelerating delivery cycles by 35%. Delivered comprehensive data-driven r

Python/ML Developer at SparkyNode Analytics, India

October 31, 2022 - August 26, 2025

Developed and deployed end-to-end customer churn prediction and product recommendation models using XGBoost and Random Forest, increasing model accuracy by 15% and reducing churn by 8%. Integrated Hugging Face NLP models (BERT, GPT-2) for document summarization and intent classification, improving text processing accuracy by 20% and automating 30% of manual content review workflows. Built and tested generative AI prototypes with LangChain and OpenAI API, automating knowledge base query resolution and reducing average response time by 40%. Engineered RESTful APIs using FastAPI with sub-100ms latency, enabling scalable and secure real-time access for front-end applications handling over 10K daily requests. Conducted exploratory data analysis and visualization with Pandas, NumPy, and Matplotlib, delivering actionable insights that accelerated decision-making timelines by 25%. Designed and maintained fault-tolerant ETL data pipelines using Apache Airflow, reducing pipeline failure rates by