Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am an AI/ML engineer based in Bothell, WA, with 8+ years of experience building data-driven and GenAI-enabled solutions. I design and deploy end-to-end data pipelines, production-grade ML systems, and autonomous LLM-enabled workflows using LangChain, RAG, and secure cloud architectures. I thrive in collaborative, Agile environments and work closely with risk, underwriting, and analytics teams to translate complex data into actionable business outcomes. My strengths include building explainable, privacy-conscious AI applications, integrating human-in-the-loop controls, and delivering scalable solutions on AWS. I enjoy exploring new AI techniques, driving cross-functional adoption, and delivering measurable impact—such as reduced processing times, improved risk assessments, and data-driven decision support across banking and insurance domains.…I am an AI/ML engineer based in Bothell, WA, with 8+ years of experience building data-driven and GenAI-enabled solutions. I design and deploy end-to-end data pipelines, production-grade ML systems, and autonomous LLM-enabled workflows using LangChain, RAG, and secure cloud architectures. I thrive in collaborative, Agile environments and work closely with risk, underwriting, and analytics teams to translate complex data into actionable business outcomes. My strengths include building explainable, privacy-conscious AI applications, integrating human-in-the-loop controls, and delivering scalable solutions on AWS. I enjoy exploring new AI techniques, driving cross-functional adoption, and delivering measurable impact—such as reduced processing times, improved risk assessments, and data-driven decision support across banking and insurance domains.

Venkata Aditya Adiraju

AI Engineer, Full Stack Developer, Back-End Developer, +1





I am an AI/ML engineer based in Bothell, WA, with 8+ years of experience building data-driven and GenAI-enabled solutions. I design and deploy end-to-end data pipelines, production-grade ML systems, and autonomous LLM-enabled workflows using LangChain, RAG, and secure cloud architectures. I thrive in collaborative, Agile environments and work closely with risk, underwriting, and analytics teams to translate complex data into actionable business outcomes. My strengths include building explainable, privacy-conscious AI applications, integrating human-in-the-loop controls, and delivering scalable solutions on AWS. I enjoy exploring new AI techniques, driving cross-functional adoption, and delivering measurable impact—such as reduced processing times, improved risk assessments, and data-driven decision support across banking and insurance domains.…I am an AI/ML engineer based in Bothell, WA, with 8+ years of experience building data-driven and GenAI-enabled solutions. I design and deploy end-to-end data pipelines, production-grade ML systems, and autonomous LLM-enabled workflows using LangChain, RAG, and secure cloud architectures. I thrive in collaborative, Agile environments and work closely with risk, underwriting, and analytics teams to translate complex data into actionable business outcomes. My strengths include building explainable, privacy-conscious AI applications, integrating human-in-the-loop controls, and delivering scalable solutions on AWS. I enjoy exploring new AI techniques, driving cross-functional adoption, and delivering measurable impact—such as reduced processing times, improved risk assessments, and data-driven decision support across banking and insurance domains.

Available to hire

I am an AI/ML engineer based in Bothell, WA, with 8+ years of experience building data-driven and GenAI-enabled solutions. I design and deploy end-to-end data pipelines, production-grade ML systems, and autonomous LLM-enabled workflows using LangChain, RAG, and secure cloud architectures. I thrive in collaborative, Agile environments and work closely with risk, underwriting, and analytics teams to translate complex data into actionable business outcomes.

My strengths include building explainable, privacy-conscious AI applications, integrating human-in-the-loop controls, and delivering scalable solutions on AWS. I enjoy exploring new AI techniques, driving cross-functional adoption, and delivering measurable impact—such as reduced processing times, improved risk assessments, and data-driven decision support across banking and insurance domains.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Gen AI Engineer at Plumas Bank

September 1, 2024 - Present

Designed and implemented a loan default prediction system leveraging Generative AI and LLMs to simulate diverse borrower profiles and assess default risks under various macroeconomic scenarios. Built a GenAI-driven credit risk platform combining LLMs, XGBoost, and GANs, reducing loan default rates by 20% and loan processing time by 30%. Engineered agentic AI workflows with LangChain for multi-step planning, tool invocation, and memory to automate credit risk analysis and policy compliance checks. Implemented human-in-the-loop systems where LLM-generated credit recommendations require analyst oversight for high-risk outcomes. Built real-time credit scoring dashboards for underwriting and sales, with SHAP/LIME explainability. Deployed models on AWS SageMaker for scalable inference, and built GDPR/PCI-DSS compliant pipelines with event-driven data streams and LLM-powered document extraction. Integrated LLM insights into legacy banking systems via APIs; conducted A/B testing to compare wit

AI/ML Engineer at Safeco Insurance

October 1, 2022 - August 1, 2024

Built a dynamic pricing engine using Reinforcement Learning and Retrieval-Augmented Generation (RAG) based decision systems for real-time pricing. Implemented collaborative filtering and hybrid recommendation techniques, integrating structured behavior data and unstructured text via Hugging Face transformers to deliver personalized product suggestions. Leveraged GPT-3 and LangChain to generate dynamic, context-aware marketing content and designed a multi-modal recommendation system for upsell/cross-sell opportunities. Deployed pipelines with AWS Lambda and API Gateway, enabling scalable, event-driven pricing and recommendations microservices; used Apache Kafka for real-time data streams. Optimized recommendations by aggregating purchase history, product reviews (NLP-extracted) and clickstream data. Built an analytics dashboard for pricing trends, recommendations, revenue forecasts, and engagement KPIs. Delivered real-time recommendations under high-traffic events; achieved 18% improvem

Data Engineer at Pacific Specialty Insurance

January 1, 2021 - September 1, 2022

Participated in daily Agile stand-ups and Test-Driven Development. Designed and implemented data ingestion pipelines using Python, urllib2, and Pandas to retrieve, parse, and normalize external datasets from APIs and flat files. Developed PySpark ETL workflows for distributed data processing, and used NumPy/Pandas for in-memory preprocessing. Built backend services in Django to integrate data pipelines and APIs. Explored TensorFlow for lightweight predictive models and visualized data quality and KPIs with Matplotlib. Implemented JSON parsing with schema validation and built APIs for data validation, transformation, and persistence. Leveraged multithreading to accelerate ingestion, collaborated with frontend teams to deliver data-driven UI, and adhered to CI/CD practices with Jenkins. Managed data modeling and relational schema design across MySQL/PostgreSQL environments; collaborated with cross-functional teams to align data models with business logic; delivered clean, reproducible co

Python Developer at Banner Bank

August 1, 2017 - March 1, 2019

Collaborated with stakeholders to analyze and implement client-driven change requests across the full SDLC. Built responsive user interfaces using Django and frontend technologies (HTML5, CSS3, Bootstrap, AngularJS, jQuery, JavaScript). Designed and implemented RESTful Web Services to enable data exchange between internal services and external systems. Monitored observability using AWS CloudWatch and deployed applications on AWS Elastic Beanstalk. Automated AWS operations with boto3 for scheduled backups and secure transfers to S3. Built backend services to parse and load structured data from JSON into internal systems; developed and deployed data validation, transformation, and persistence modules; implemented CI/CD and version control with Git/JIRA. Identified performance bottlenecks and improved system stability; contributed reusable components for frontend and backend to ensure consistency and scalability.

Python Developer at Focus1 Insurance

April 1, 2019 - December 1, 2020

Participated in the full data engineering lifecycle, including design, development, testing, and deployment of scalable data pipelines and backend systems. Built data ingestion workflows using Python, urllib2, and Pandas to retrieve and normalize external datasets from APIs and flat files. Developed PySpark ETL workflows for distributed processing and transformation of large-scale datasets; utilized NumPy and Pandas for data manipulation, preprocessing, and analysis. Implemented backend services in Django, integrating data pipelines and APIs for seamless access to processed data. Employed TensorFlow to prototype lightweight predictive models and integrated them with the backend to provide actionable insights. Created and visualized analytical reports using Matplotlib to highlight data quality, pipeline performance, and KPIs. Implemented JSON parsing with schema validation, built data validation and transformation APIs, and ensured robust error handling, logging, and unit testing. Estab