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Innovative AI/ML Engineer with 5 years of experience designing scalable data and machine learning pipelines, building Generative AI systems, and delivering predictive analytics. Skilled in LLM deployment, RAG architectures, and production MLOps workflows across AWS, Azure, and Databricks. Passionate about turning complex data into actionable insights with production-grade solutions. Proven track record includes improving data reliability by 99%, reducing deployment cycles by 40%, and enhancing model performance through automation and continuous monitoring.…Innovative AI/ML Engineer with 5 years of experience designing scalable data and machine learning pipelines, building Generative AI systems, and delivering predictive analytics. Skilled in LLM deployment, RAG architectures, and production MLOps workflows across AWS, Azure, and Databricks. Passionate about turning complex data into actionable insights with production-grade solutions. Proven track record includes improving data reliability by 99%, reducing deployment cycles by 40%, and enhancing model performance through automation and continuous monitoring.

Anuraga Reddy Bogala

AI Engineer, Data Scientist, Data Engineer

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Innovative AI/ML Engineer with 5 years of experience designing scalable data and machine learning pipelines, building Generative AI systems, and delivering predictive analytics. Skilled in LLM deployment, RAG architectures, and production MLOps workflows across AWS, Azure, and Databricks. Passionate about turning complex data into actionable insights with production-grade solutions. Proven track record includes improving data reliability by 99%, reducing deployment cycles by 40%, and enhancing model performance through automation and continuous monitoring.…Innovative AI/ML Engineer with 5 years of experience designing scalable data and machine learning pipelines, building Generative AI systems, and delivering predictive analytics. Skilled in LLM deployment, RAG architectures, and production MLOps workflows across AWS, Azure, and Databricks. Passionate about turning complex data into actionable insights with production-grade solutions. Proven track record includes improving data reliability by 99%, reducing deployment cycles by 40%, and enhancing model performance through automation and continuous monitoring.

Available to hire

Innovative AI/ML Engineer with 5 years of experience designing scalable data and machine learning pipelines, building Generative AI systems, and delivering predictive analytics. Skilled in LLM deployment, RAG architectures, and production MLOps workflows across AWS, Azure, and Databricks.

Passionate about turning complex data into actionable insights with production-grade solutions. Proven track record includes improving data reliability by 99%, reducing deployment cycles by 40%, and enhancing model performance through automation and continuous monitoring.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

AI/ML Engineer at Enigma

August 1, 2024 - Present

Designed Spark- and Kafka-based ingestion pipelines integrating AWS S3 and API data sources, improving data completeness from 92% to 99.9% and enabling stable downstream ML workflows. Built preprocessing and feature engineering pipelines in Python and PySpark for LLM and RAG systems, increasing data consistency by 35% and reducing fine-tuning time by 20%. Fine-tuned and deployed LLMs using OpenAI APIs, LangChain, and LangFuse with vector databases (Pinecone, FAISS) achieving 90% response relevance. Developed production-grade GenAI APIs using AWS Lambda, Azure Functions, and Jenkins CI/CD, reducing deployment cycles by 40%. Implemented MLOps with MLflow, Prometheus, and Grafana for experiment tracking, retraining, and drift monitoring, decreasing LLM drift by 25%. Conducted EDA, embedding analysis, and prompt optimization to improve assistant response relevance by 18%.

Data Scientist at Infosys

June 1, 2019 - December 31, 2022

Built ETL workflows using Python, SQL, and Spark to integrate data from Snowflake, AWS S3, and on-prem systems, boosting query performance by 30% and reducing data preparation time. Developed predictive models for classification, regression, and time-series analysis using Scikit-learn, XGBoost, and LightGBM, improving forecasting accuracy by up to 22%. Delivered computer vision solutions with TensorFlow and OpenCV for facial recognition and object detection, achieving 93% precision and reducing manual verification costs by 40%. Created interactive Power BI dashboards tracking KPIs, enhancing campaign ROI by 15%. Containerized ML models with Docker and deployed on AWS Lambda and Kubernetes, reducing infrastructure provisioning time by 50% and improving scalability. Produced documentation to streamline knowledge transfer and mentored junior analysts to improve productivity and code review acceptance.