I am an AI/ML & Data Engineer with 6 years of experience delivering scalable data and AI solutions across banking, healthcare, and insurance domains. I design robust ETL/ELT pipelines, real-time streaming architectures, and cloud-optimized Snowflake environments to drive efficiency, cost savings, and measurable business outcomes. I have hands-on experience integrating Generative AI, LLMs, and Retrieval-Augmented Generation (RAG) for intelligent workflow automation, summarization, and predictive analytics. I designed and deployed end-to-end AI/ML pipelines for fraud detection, transaction monitoring, and portfolio optimization, achieving higher accuracy and reduced false positives, while collaborating with cross-functional stakeholders and mentoring teams.

Ruchitha Nelluri

I am an AI/ML & Data Engineer with 6 years of experience delivering scalable data and AI solutions across banking, healthcare, and insurance domains. I design robust ETL/ELT pipelines, real-time streaming architectures, and cloud-optimized Snowflake environments to drive efficiency, cost savings, and measurable business outcomes. I have hands-on experience integrating Generative AI, LLMs, and Retrieval-Augmented Generation (RAG) for intelligent workflow automation, summarization, and predictive analytics. I designed and deployed end-to-end AI/ML pipelines for fraud detection, transaction monitoring, and portfolio optimization, achieving higher accuracy and reduced false positives, while collaborating with cross-functional stakeholders and mentoring teams.

Available to hire

I am an AI/ML & Data Engineer with 6 years of experience delivering scalable data and AI solutions across banking, healthcare, and insurance domains. I design robust ETL/ELT pipelines, real-time streaming architectures, and cloud-optimized Snowflake environments to drive efficiency, cost savings, and measurable business outcomes.

I have hands-on experience integrating Generative AI, LLMs, and Retrieval-Augmented Generation (RAG) for intelligent workflow automation, summarization, and predictive analytics. I designed and deployed end-to-end AI/ML pipelines for fraud detection, transaction monitoring, and portfolio optimization, achieving higher accuracy and reduced false positives, while collaborating with cross-functional stakeholders and mentoring teams.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Advanced

Work Experience

Generative AI Data Scientist at Truist Bank
September 1, 2023 - Present
Designed and implemented real-time financial transaction pipelines using deep learning and NLP to improve fraud detection accuracy and reduce false positives by 20%. Developed AI-powered tools for personalized financial recommendations, alerts, and investment insights. Built end-to-end batch and streaming ETL pipelines for transactional, market, and customer data with regulatory compliance and privacy. Integrated GPT models for automated reporting, financial summarization, and intelligent recommendation generation. Deployed AI-driven portfolio risk analysis, distributed AI agents for fraud detection and credit scoring, andRESTful APIs using FastAPI to deliver AI-driven financial analytics services. Optimized data storage and query performance on Amazon S3 and Redshift for large-scale datasets. Led portfolio optimization and branch operation improvements through AI-driven optimization algorithms, achieving operational savings.
Data Engineer / ML Engineer at BCBS
February 1, 2022 - August 1, 2023
Designed and built scalable data pipelines on AWS & Azure using Apache Spark, AWS Glue, Azure Data Factory, and Lambda to support batch and real-time processing. Developed end-to-end ML pipelines for object detection, image segmentation, and predictive analytics, improving model performance by 10–12%. Implemented A/B testing and experimentation frameworks for AI feature rollouts. Built RESTful APIs for real-time AI services via Flask and FastAPI, deployed with serverless architectures (Lambda, ECS). Created dashboards with Tableau and Power BI by integrating Snowflake and Azure Synapse, improving KPI visibility by 30%. Implemented optimization algorithms for supply chain analytics, achieving cost reductions in logistics and inventory. Established CI/CD pipelines (CodePipeline, Azure DevOps, Jenkins) for ML/ETL workflows. Enforced data validation, cleansing, and enrichment; secured data operations with RBAC and encryption. Employed event-driven architectures with Kinesis, Event Grid,
Data Analyst at Tech Mahindra
February 1, 2019 - December 1, 2021
Designed and developed robust data models using SQL and relational databases to organize policyholder, claims, and payment data. Built star schema data models with SQL Server and SSIS; created scalable ETL processes in SQL and Python; automated recurring Tableau reports; developed dashboards to monitor policy approvals, claim trends, and processing timelines. Collaborated with actuarial, underwriting, and IT teams to translate business questions into data-driven insights and dashboards. Performed performance tuning on Tableau dashboards and SQL queries to handle large insurance datasets.

Education

Master's Degree in Information Science & Studies at Trine University – Detroit
January 11, 2030 - January 5, 2026
Bachelor's Degree in Electronics and Communication Engineering at India
January 11, 2030 - January 5, 2026

Qualifications

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Industry Experience

Financial Services, Healthcare, Professional Services