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I am an AI/ML Engineer with over 4 years of experience delivering end-to-end data analytics, ML, NLP, and Generative AI solutions across Finance, Telecom, and Legal domains. I build scalable data pipelines and ML models (Random Forest, XGBoost, SVM, Deep Learning) and apply NLP techniques with spaCy, Hugging Face, and LangChain to real-world use cases like fraud detection and intelligent document processing. I design and deploy cloud-based AI solutions on AWS and Azure, including Retrieval-Augmented Generation (RAG) pipelines, vector databases, and secure LLM integrations. I enjoy collaborating with cross-functional teams to translate business problems into impactful AI applications, and I focus on robust production deployments, observability, and secure data grounding with MCP.…I am an AI/ML Engineer with over 4 years of experience delivering end-to-end data analytics, ML, NLP, and Generative AI solutions across Finance, Telecom, and Legal domains. I build scalable data pipelines and ML models (Random Forest, XGBoost, SVM, Deep Learning) and apply NLP techniques with spaCy, Hugging Face, and LangChain to real-world use cases like fraud detection and intelligent document processing. I design and deploy cloud-based AI solutions on AWS and Azure, including Retrieval-Augmented Generation (RAG) pipelines, vector databases, and secure LLM integrations. I enjoy collaborating with cross-functional teams to translate business problems into impactful AI applications, and I focus on robust production deployments, observability, and secure data grounding with MCP.

Sri Mallika Ponnada

Data Scientist, AI Engineer, Data Analyst, +6

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I am an AI/ML Engineer with over 4 years of experience delivering end-to-end data analytics, ML, NLP, and Generative AI solutions across Finance, Telecom, and Legal domains. I build scalable data pipelines and ML models (Random Forest, XGBoost, SVM, Deep Learning) and apply NLP techniques with spaCy, Hugging Face, and LangChain to real-world use cases like fraud detection and intelligent document processing. I design and deploy cloud-based AI solutions on AWS and Azure, including Retrieval-Augmented Generation (RAG) pipelines, vector databases, and secure LLM integrations. I enjoy collaborating with cross-functional teams to translate business problems into impactful AI applications, and I focus on robust production deployments, observability, and secure data grounding with MCP.…I am an AI/ML Engineer with over 4 years of experience delivering end-to-end data analytics, ML, NLP, and Generative AI solutions across Finance, Telecom, and Legal domains. I build scalable data pipelines and ML models (Random Forest, XGBoost, SVM, Deep Learning) and apply NLP techniques with spaCy, Hugging Face, and LangChain to real-world use cases like fraud detection and intelligent document processing. I design and deploy cloud-based AI solutions on AWS and Azure, including Retrieval-Augmented Generation (RAG) pipelines, vector databases, and secure LLM integrations. I enjoy collaborating with cross-functional teams to translate business problems into impactful AI applications, and I focus on robust production deployments, observability, and secure data grounding with MCP.

Available to hire

I am an AI/ML Engineer with over 4 years of experience delivering end-to-end data analytics, ML, NLP, and Generative AI solutions across Finance, Telecom, and Legal domains. I build scalable data pipelines and ML models (Random Forest, XGBoost, SVM, Deep Learning) and apply NLP techniques with spaCy, Hugging Face, and LangChain to real-world use cases like fraud detection and intelligent document processing.

I design and deploy cloud-based AI solutions on AWS and Azure, including Retrieval-Augmented Generation (RAG) pipelines, vector databases, and secure LLM integrations. I enjoy collaborating with cross-functional teams to translate business problems into impactful AI applications, and I focus on robust production deployments, observability, and secure data grounding with MCP.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Gen AI/ ML Engineer at AMEX (American Express)

January 1, 2024 - Present

Developed and deployed an AI-driven customer support chatbot integrated with a real-time fraud detection system. Implemented Retrieval-Augmented Generation (RAG) pipelines with Claude and GPT for context-aware, data-grounded responses; built Agentic RAG architecture; integrated Model Context Protocol (MCP) for secure interoperability with backend systems; deployed on AWS with OpenSearch, Lambda, Bedrock, and monitoring to optimize latency and accuracy.

Data Scientist/ ML Engineer at Thomson Reuters India

May 1, 2021 - June 30, 2022

Contributed to an AI-based Career Path & Learning Recommendation System, building ML models to personalize learning paths and integrate into the LMS; engineered features from user behavior and historical data; performed end-to-end testing and ensured model integration within business applications.

Data Analyst at Blue I Technologies Pvt Ltd

May 1, 2020 - April 30, 2021

Contributed to a retail analytics initiative focused on customer segmentation and sales insights; performed data preparation, exploratory analysis, and reporting; created Power BI dashboards and supported campaign planning with actionable insights.

Gen AI/ ML Engineer at AMEX

January 1, 2024 - Present

Developed and deployed an AI-driven customer support chatbot integrated with real-time fraud detection. Implemented a Retrieval-Augmented Generation (RAG) framework to semantically index historical interactions, transactions, and fraud alerts for context-aware responses. Leveraged GPT-5.1 and Claude via AWS Bedrock, with OpenSearch-backed vector stores (Pinecone/FAISS) for fast similarity search. Built intelligent response caching, dynamic routing, and MCP-based secure grounding to AMEX backend data. Established CI/CD pipelines (CodePipeline, Jenkins) and monitoring (CloudWatch, Prometheus, Grafana). Resulted in improved chatbot accuracy, faster fraud inquiries resolution, and 30% reduction in live-agent workload.

Data Scientist/ ML Engineer at Thomson Reuters

May 1, 2021 - June 1, 2022

Contributed to AI-based Career Path and Learning Recommendation Systems. Built and deployed ML models to suggest personalized learning paths, integrated predictive analytics into LMS, engineered features from user behavior and skill profiles, performed end-to-end testing and ETL pipelines. Improved engagement and personalization by delivering relevant learning recommendations.

Gen AI/ ML Engineer at American Express (AMEX)

January 1, 2024 - Present

Developed and deployed an AI-powered fraud detection system and customer support chatbot integrated with real-time fraud analysis. Built a Retrieval-Augmented Generation (RAG) framework to semantically index historical interactions, transactions, and fraud alerts, enabling efficient retrieval for chatbot responses and fraud investigations. Leveraged GPT-5.1 reasoning, OpenSearch indexing, and AWS Lambda to provide scalable AI-driven responses. Implemented agentic RAG architecture and MCP-based secure interoperability with backend systems, along with monitoring via CloudWatch, Prometheus, and Grafana. Established CI/CD pipelines (CodePipeline, Jenkins) and cost-optimized inference strategies, reducing live agent workload and improving response latency.

Data Scientist / ML Engineer at Thomson Reuters

May 1, 2021 - June 1, 2022

Contributed to AI-based Career Path & Learning Recommendation Systems, building models to suggest personalized learning paths and growth opportunities. Engineered features from user behavior and skills data, developed SQL-based ETL pipelines, and conducted end-to-end testing to ensure reliability and performance. Collaborated with cross-functional teams to validate model integration within enterprise applications.