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I am an experienced Python Developer with over five years immersed in AI/ML, Generative AI, and scalable backend/API development. I specialize in transforming complex legacy systems into modern solutions using LLMs like GPT-4 and Claude 3, and emphasizing explainability and automation in regulated environments. My work blends data engineering, cloud deployment, and model explainability to solve real-world business challenges efficiently. I love collaborating in agile teams and mentoring peers while continually advancing my skills in GenAI, MLOps, and data-driven insights.…I am an experienced Python Developer with over five years immersed in AI/ML, Generative AI, and scalable backend/API development. I specialize in transforming complex legacy systems into modern solutions using LLMs like GPT-4 and Claude 3, and emphasizing explainability and automation in regulated environments. My work blends data engineering, cloud deployment, and model explainability to solve real-world business challenges efficiently. I love collaborating in agile teams and mentoring peers while continually advancing my skills in GenAI, MLOps, and data-driven insights.

Sai Teja Goka

AI Engineer, Data Scientist, DevOps Developer, +2

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I am an experienced Python Developer with over five years immersed in AI/ML, Generative AI, and scalable backend/API development. I specialize in transforming complex legacy systems into modern solutions using LLMs like GPT-4 and Claude 3, and emphasizing explainability and automation in regulated environments. My work blends data engineering, cloud deployment, and model explainability to solve real-world business challenges efficiently. I love collaborating in agile teams and mentoring peers while continually advancing my skills in GenAI, MLOps, and data-driven insights.…I am an experienced Python Developer with over five years immersed in AI/ML, Generative AI, and scalable backend/API development. I specialize in transforming complex legacy systems into modern solutions using LLMs like GPT-4 and Claude 3, and emphasizing explainability and automation in regulated environments. My work blends data engineering, cloud deployment, and model explainability to solve real-world business challenges efficiently. I love collaborating in agile teams and mentoring peers while continually advancing my skills in GenAI, MLOps, and data-driven insights.

Available to hire

I am an experienced Python Developer with over five years immersed in AI/ML, Generative AI, and scalable backend/API development. I specialize in transforming complex legacy systems into modern solutions using LLMs like GPT-4 and Claude 3, and emphasizing explainability and automation in regulated environments.

My work blends data engineering, cloud deployment, and model explainability to solve real-world business challenges efficiently. I love collaborating in agile teams and mentoring peers while continually advancing my skills in GenAI, MLOps, and data-driven insights.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Python Developer – GEN AI, Data Engineering at PNC Bank

September 1, 2023 - Present

Led the ingestion of legacy PL/SQL artifacts into a GenAI-powered metadata platform using Azure Kubernetes Service. Developed LLM-driven parsing engines with GPT-4 and Claude 3 to modularize embedded business logic into Python equivalents. Created tokenizer logic and reusable prompt frameworks, increasing parsing accuracy for complex PL/SQL structures. Automated glossary and business description generation for enterprise datasets with GPT-4, integrating semantic data into Neo4j for visualization and enrichment. Designed Retrieval-Augmented Generation pipelines enabling semantic search and summarization of metadata. Implemented CI/CD automation using Azure DevOps Pipelines and GitHub Actions, deploying services with Docker containers on AKS. Delivered explainable AI outputs with SHAP to improve validation of LLM-transformed business rules, collaborating closely with architects, DevOps, and SMEs in Agile sprints.

Python Developer – ML, MLOps, Fraud Analytics at Sanofi

December 31, 2023 - September 4, 2025

Developed high-performance Python applications using FastAPI and AsyncIO, deployed on Azure ML, Cognitive Services, Synapse, and Data Factory. Designed RESTful APIs and real-time data communication across microservices. Built and tuned classification, regression, clustering, and deep learning models with PyTorch, including CNNs and LSTMs for computer vision and NLP. Created anomaly detection systems to monitor model drift and automated retraining pipelines triggered by real-time data. Engineered scalable data ingestion and transformation workflows using Spark, Hadoop, and Airflow. Containerized deployments with Docker and Kubernetes; automated CI/CD with Jenkins and GitHub Actions. Built performance dashboards using Matplotlib, Seaborn, and Power BI. Optimized hyperparameters leveraging Optuna and GridSearchCV, improving model accuracy. Secured APIs with OAuth authentication and integrated ELK stack for logging and monitoring. Mentored junior members and followed Agile practices.

Python Developer – Data Science & Analytics at Monocept

August 1, 2022 - September 4, 2025

Developed modular Flask microservices for insurance analytics, deploying them with Docker and Azure App Services using CI/CD pipelines. Built forecasting models (ARIMA, Prophet, XGBoost) for policy renewal and claims prediction. Engineered ETL workflows with Airflow and dbt for data ingestion from Azure Blob Storage and PostgreSQL. Implemented classification models for fraud detection and churn prediction. Designed KPI dashboards and automated reports with Power BI for underwriting insights. Created anomaly detection scripts using Isolation Forest and statistical techniques. Conducted A/B testing and statistical analysis for pricing optimization. Delivered SHAP-based explainable model outputs for compliance. Optimized SQL queries reducing API latency by 50%. Mentored junior engineers and collaborated in Agile development.

Python Developer – GEN AI, Data Engineering at PNC Bank

September 1, 2023 - Present

At PNC Bank, I developed a GenAI-powered metadata platform using Azure Kubernetes Service. I created LLM-driven engines with GPT-4 and Claude 3 for parsing legacy PL/SQL to Python equivalents and engineered tokenizer and prompt frameworks enhancing parsing accuracy. I automated business glossary generation, integrated semantic graph models with Neo4j, and built RAG pipelines with LangChain for enterprise metadata search and summarization. I implemented CI/CD pipelines using Azure DevOps and GitHub Actions for deployments, secured data handling with Azure services, and enhanced explainability using SHAP for auditing. Collaborated closely with architects, DevOps, and SMEs in Agile sprints to improve metadata and deployment workflows.

Python Developer – ML, MLOps, Fraud Analytics at Sanofi

December 31, 2023 - September 4, 2025

At Sanofi, I built high-performance Python applications using FastAPI and AsyncIO, deployed on Azure ML ecosystem. My role included designing RESTful APIs, developing CNN and LSTM deep learning models for NLP and vision, and building anomaly detection systems for monitoring production models. I engineered data pipelines using Spark and Airflow and containerized deployments with Docker and Kubernetes. Automated CI/CD pipelines with Jenkins and GitHub Actions supported continuous testing and deployment. I created dashboards with Matplotlib and Power BI, optimized models using Optuna and GridSearchCV, improved NoSQL MongoDB schemas for ML data, and integrated ELK stack for logging and monitoring. Ensured secure API access via OAuth and mentored juniors on MLOps best practices following Agile methodology.

Python Developer – Data Science & Analytics at Monocept

August 1, 2022 - September 4, 2025

At Monocept, I developed Flask microservices for insurance analytics, deployed with Docker and Azure App Services. I built forecasting models (ARIMA, Prophet, XGBoost) for policy and claims predictions, designed ETL workflows using Airflow and dbt, and implemented classification models for fraud and churn detection. KPI dashboards and automated reports were created using Power BI. I performed feature engineering, anomaly detection via Isolation Forest, and statistical tests for A/B pricing experiments. I delivered explainable AI through SHAP plots and optimized SQL queries to reduce API latency by 50%. Additionally, I mentored junior engineers and participated actively in Agile scrum processes.