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I am an AI Engineer with over 4 years of experience specializing in data science, deep learning, and scalable data engineering. I have a strong proficiency in Python, SQL, and AWS technologies, and I am passionate about building AI-driven solutions that make a measurable impact, especially in healthcare and clinical diagnostics. I thrive on solving complex problems by leveraging expertise in LLM fine-tuning, time series forecasting, and computer vision. I enjoy collaborating with stakeholders to translate data insights into actionable outcomes and continuously improving AI systems through feedback-driven learning loops and robust deployment pipelines.…I am an AI Engineer with over 4 years of experience specializing in data science, deep learning, and scalable data engineering. I have a strong proficiency in Python, SQL, and AWS technologies, and I am passionate about building AI-driven solutions that make a measurable impact, especially in healthcare and clinical diagnostics. I thrive on solving complex problems by leveraging expertise in LLM fine-tuning, time series forecasting, and computer vision. I enjoy collaborating with stakeholders to translate data insights into actionable outcomes and continuously improving AI systems through feedback-driven learning loops and robust deployment pipelines.

Ghanashyam Gajanan Devadiga

AI Engineer, Data Scientist, Developer, +2

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I am an AI Engineer with over 4 years of experience specializing in data science, deep learning, and scalable data engineering. I have a strong proficiency in Python, SQL, and AWS technologies, and I am passionate about building AI-driven solutions that make a measurable impact, especially in healthcare and clinical diagnostics. I thrive on solving complex problems by leveraging expertise in LLM fine-tuning, time series forecasting, and computer vision. I enjoy collaborating with stakeholders to translate data insights into actionable outcomes and continuously improving AI systems through feedback-driven learning loops and robust deployment pipelines.…I am an AI Engineer with over 4 years of experience specializing in data science, deep learning, and scalable data engineering. I have a strong proficiency in Python, SQL, and AWS technologies, and I am passionate about building AI-driven solutions that make a measurable impact, especially in healthcare and clinical diagnostics. I thrive on solving complex problems by leveraging expertise in LLM fine-tuning, time series forecasting, and computer vision. I enjoy collaborating with stakeholders to translate data insights into actionable outcomes and continuously improving AI systems through feedback-driven learning loops and robust deployment pipelines.

Available to hire

I am an AI Engineer with over 4 years of experience specializing in data science, deep learning, and scalable data engineering. I have a strong proficiency in Python, SQL, and AWS technologies, and I am passionate about building AI-driven solutions that make a measurable impact, especially in healthcare and clinical diagnostics.

I thrive on solving complex problems by leveraging expertise in LLM fine-tuning, time series forecasting, and computer vision. I enjoy collaborating with stakeholders to translate data insights into actionable outcomes and continuously improving AI systems through feedback-driven learning loops and robust deployment pipelines.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Work Experience

AI Engineer at DATA SOLUTIONS

January 1, 2024 - Present

Built a medical AI assistant by fine-tuning OpenBioLLM to enhance clinical reasoning and medical question-answering. Developed automated pipelines for data preprocessing and model training, and managed Kubernetes deployments with Helm charts. Led multi-GPU training on AWS EC2 with memory-efficient strategies. Created serverless ETL workflows with AWS Lambda and Glue, and deployed ML models on SageMaker for scalable clinical AI applications. Implemented QLoRA-based fine-tuning to optimize model memory usage. Developed a BERT-based medical coding solution predicting ICD-10-CM and CPT codes, reducing manual coding effort by 70%. Managed production deployment pipelines with FastAPI, TorchServe, and CI/CD workflows. Established continual learning loops to improve model robustness and reduce hallucinations in clinical scenarios.

Computer Vision Deep Learning Engineer at GAINWELL TECHNOLOGIES

June 30, 2022 - July 19, 2025

Developed deep learning pipelines for early cancer detection using U-Net segmentation and ResNet50 classification achieving high accuracy. Built distributed PySpark pipelines to preprocess medical imaging data, reducing processing time drastically. Accelerated training with PyTorch Distributed Data Parallel across multiple GPUs and optimized data loading and batching strategies. Integrated Grad-CAM visualizations to improve interpretability for clinicians. Established retraining frameworks to monitor model drift and performance over time. Deployed solutions on AWS SageMaker with real-time REST APIs, enhancing interoperability with hospital systems.

Data Scientist-Optimization at DXC TECHNOLOGY

October 31, 2020 - July 19, 2025

Developed hybrid demand forecasting models combining ARIMA and XGBoost improving accuracy and reducing stockouts. Integrated SHAP explainability for feature importance visualization aiding cross-functional decisions. Built real-time fraud detection systems leveraging XGBoost and Isolation Forest, cutting false positives by 40%. Created scalable customer segmentation pipelines using K-Means++, boosting campaign responsiveness and retention. Automated retraining cycles and monitoring dashboards improving model reliability and collaboration. Containerized forecasting pipelines with Docker and orchestrated deployment via GitHub Actions on AWS.