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I am a results-driven AI/ML Engineer with 6+ years of experience designing and deploying scalable machine learning systems, data pipelines, and production analytics solutions across enterprise environments. I specialize in Generative AI, LLM-based applications, and MLOps across AWS, Azure, and GCP, translating business requirements into production-ready solutions that boost accuracy, efficiency, and operational performance. I have hands-on experience building end-to-end pipelines, optimizing prompts, and collaborating with cross-functional teams to deliver measurable impact. My technical toolkit includes Python, PyTorch, TensorFlow, and modern ML workflows, enabling me to deliver robust, scalable ML solutions from data ingestion to deployment.…I am a results-driven AI/ML Engineer with 6+ years of experience designing and deploying scalable machine learning systems, data pipelines, and production analytics solutions across enterprise environments. I specialize in Generative AI, LLM-based applications, and MLOps across AWS, Azure, and GCP, translating business requirements into production-ready solutions that boost accuracy, efficiency, and operational performance. I have hands-on experience building end-to-end pipelines, optimizing prompts, and collaborating with cross-functional teams to deliver measurable impact. My technical toolkit includes Python, PyTorch, TensorFlow, and modern ML workflows, enabling me to deliver robust, scalable ML solutions from data ingestion to deployment.

Sowrabha Rajesh

Full Stack Developer, Back-End Developer, Front-End Developer, +2

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I am a results-driven AI/ML Engineer with 6+ years of experience designing and deploying scalable machine learning systems, data pipelines, and production analytics solutions across enterprise environments. I specialize in Generative AI, LLM-based applications, and MLOps across AWS, Azure, and GCP, translating business requirements into production-ready solutions that boost accuracy, efficiency, and operational performance. I have hands-on experience building end-to-end pipelines, optimizing prompts, and collaborating with cross-functional teams to deliver measurable impact. My technical toolkit includes Python, PyTorch, TensorFlow, and modern ML workflows, enabling me to deliver robust, scalable ML solutions from data ingestion to deployment.…I am a results-driven AI/ML Engineer with 6+ years of experience designing and deploying scalable machine learning systems, data pipelines, and production analytics solutions across enterprise environments. I specialize in Generative AI, LLM-based applications, and MLOps across AWS, Azure, and GCP, translating business requirements into production-ready solutions that boost accuracy, efficiency, and operational performance. I have hands-on experience building end-to-end pipelines, optimizing prompts, and collaborating with cross-functional teams to deliver measurable impact. My technical toolkit includes Python, PyTorch, TensorFlow, and modern ML workflows, enabling me to deliver robust, scalable ML solutions from data ingestion to deployment.

Available to hire

I am a results-driven AI/ML Engineer with 6+ years of experience designing and deploying scalable machine learning systems, data pipelines, and production analytics solutions across enterprise environments. I specialize in Generative AI, LLM-based applications, and MLOps across AWS, Azure, and GCP, translating business requirements into production-ready solutions that boost accuracy, efficiency, and operational performance.

I have hands-on experience building end-to-end pipelines, optimizing prompts, and collaborating with cross-functional teams to deliver measurable impact. My technical toolkit includes Python, PyTorch, TensorFlow, and modern ML workflows, enabling me to deliver robust, scalable ML solutions from data ingestion to deployment.

Skills

Experience Level

Expert

Expert

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Expert

Expert

Expert

Expert

Expert

Expert

Expert

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Expert

Expert

Expert

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Expert

Language

English

Fluent

Work Experience

AI/ML Engineer at OpenAI, USA

June 1, 2024 - Present

Designed and deployed LLM-based applications using OpenAI APIs and LangChain, improving contextual response quality by 35% for enterprise-grade use cases. Built RAG pipelines using vector databases (Pinecone, FAISS), enabling fast retrieval over large-scale document systems (10M+ records). Implemented prompt optimization and fine-tuning strategies, reducing operational token costs by 20% while maintaining high model performance. Developed scalable MLOps pipelines using AWS SageMaker, Docker, and Kubernetes, reducing deployment cycles from days to hours. Collaborated with cross-functional engineering teams to integrate machine learning models with production systems and data workflows.

Data Scientist at PwC, India

June 1, 2020 - October 1, 2023

Developed and deployed machine learning models (classification, regression, clustering) using Python, Scikit-learn, and XGBoost, improving prediction accuracy by 18%. Built and optimized data processing and ETL pipelines using Apache Spark and SQL, handling over 5M+ records daily for enterprise analytics reporting. Created interactive dashboards using Power BI, enabling stakeholders to improve decision-making efficiency by ~20–25%. Worked on NLP-based ML solutions (BERT embeddings, TF-IDF, sentiment models) for document classification and text analytics use cases. Supported integration of ML outputs into business applications and reporting systems to enhance operational workflows and data-driven decisions.