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I am an AI Engineer with 8+ years of experience building ML and backend systems, with a focus on LLM-powered applications, Retrieval-Augmented Generation, and agentic AI solutions in banking and insurance domains. I design and deploy end-to-end AI solutions that improve accuracy, efficiency, and decision-making, from RAG pipelines and intelligent search to enterprise knowledge systems. I am proficient in deploying AI/ML models across cloud environments, with deep hands-on experience in AWS and Azure OpenAI services. I enjoy turning complex data into scalable, reliable services and collaborating with cross-functional teams. I thrive in Agile environments, architect scalable microservices, implement MLOps practices, and monitor models in production. My strengths include designing scalable data pipelines, backend services with FastAPI, Django, and REST/GraphQL APIs, and mentoring teammates to raise the bar on quality and performance. I continuously learn new technologies and apply them to real-world banking and insurance problems to deliver measurable impact.…I am an AI Engineer with 8+ years of experience building ML and backend systems, with a focus on LLM-powered applications, Retrieval-Augmented Generation, and agentic AI solutions in banking and insurance domains. I design and deploy end-to-end AI solutions that improve accuracy, efficiency, and decision-making, from RAG pipelines and intelligent search to enterprise knowledge systems. I am proficient in deploying AI/ML models across cloud environments, with deep hands-on experience in AWS and Azure OpenAI services. I enjoy turning complex data into scalable, reliable services and collaborating with cross-functional teams. I thrive in Agile environments, architect scalable microservices, implement MLOps practices, and monitor models in production. My strengths include designing scalable data pipelines, backend services with FastAPI, Django, and REST/GraphQL APIs, and mentoring teammates to raise the bar on quality and performance. I continuously learn new technologies and apply them to real-world banking and insurance problems to deliver measurable impact.

Komalatha Kande

Data Scientist, Programmer, Web Developer, +2

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I am an AI Engineer with 8+ years of experience building ML and backend systems, with a focus on LLM-powered applications, Retrieval-Augmented Generation, and agentic AI solutions in banking and insurance domains. I design and deploy end-to-end AI solutions that improve accuracy, efficiency, and decision-making, from RAG pipelines and intelligent search to enterprise knowledge systems. I am proficient in deploying AI/ML models across cloud environments, with deep hands-on experience in AWS and Azure OpenAI services. I enjoy turning complex data into scalable, reliable services and collaborating with cross-functional teams. I thrive in Agile environments, architect scalable microservices, implement MLOps practices, and monitor models in production. My strengths include designing scalable data pipelines, backend services with FastAPI, Django, and REST/GraphQL APIs, and mentoring teammates to raise the bar on quality and performance. I continuously learn new technologies and apply them to real-world banking and insurance problems to deliver measurable impact.…I am an AI Engineer with 8+ years of experience building ML and backend systems, with a focus on LLM-powered applications, Retrieval-Augmented Generation, and agentic AI solutions in banking and insurance domains. I design and deploy end-to-end AI solutions that improve accuracy, efficiency, and decision-making, from RAG pipelines and intelligent search to enterprise knowledge systems. I am proficient in deploying AI/ML models across cloud environments, with deep hands-on experience in AWS and Azure OpenAI services. I enjoy turning complex data into scalable, reliable services and collaborating with cross-functional teams. I thrive in Agile environments, architect scalable microservices, implement MLOps practices, and monitor models in production. My strengths include designing scalable data pipelines, backend services with FastAPI, Django, and REST/GraphQL APIs, and mentoring teammates to raise the bar on quality and performance. I continuously learn new technologies and apply them to real-world banking and insurance problems to deliver measurable impact.

Available to hire

I am an AI Engineer with 8+ years of experience building ML and backend systems, with a focus on LLM-powered applications, Retrieval-Augmented Generation, and agentic AI solutions in banking and insurance domains. I design and deploy end-to-end AI solutions that improve accuracy, efficiency, and decision-making, from RAG pipelines and intelligent search to enterprise knowledge systems. I am proficient in deploying AI/ML models across cloud environments, with deep hands-on experience in AWS and Azure OpenAI services. I enjoy turning complex data into scalable, reliable services and collaborating with cross-functional teams.

I thrive in Agile environments, architect scalable microservices, implement MLOps practices, and monitor models in production. My strengths include designing scalable data pipelines, backend services with FastAPI, Django, and REST/GraphQL APIs, and mentoring teammates to raise the bar on quality and performance. I continuously learn new technologies and apply them to real-world banking and insurance problems to deliver measurable impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI Engineer at AP Equipment Financing

March 1, 2025 - Present

Led design and development of scalable LLM-based solutions to automate document processing and enterprise knowledge retrieval. Architected robust RAG pipelines, enabling accurate semantic search across large document repositories. Implemented GraphRAG and agentic AI architectures to support intelligent workflow automation. Built high-performance backend services with FastAPI to support real-time fraud detection and analytics. Designed scalable data pipelines to process large financial datasets for downstream AI applications. Deployed a microservices architecture on AWS ECS to ensure scalability and fault tolerance, with asynchronous processing and Redis-based caching to optimize latency. Established monitoring and logging, automated data validation, and feature engineering workflows to improve data quality. Collaborated with cross-functional teams and mentored junior engineers to promote AI system best practices.

ML Engineer at Pacific Specialty Insurance

January 1, 2024 - February 1, 2025

Designed and implemented end-to-end ML pipelines for risk modeling and advanced analytics in underwriting and claims analysis. Built scalable ETL workflows with Apache Airflow to support large-scale data processing. Developed and deployed predictive models using advanced ML algorithms; led the development of fraud detection systems that improved detection accuracy and reduced losses. Applied deep learning techniques to model customer behavior and enhanced risk scoring. Conducted EDA to drive feature engineering strategies. Optimized model performance with Redis caching and API/infrastructure improvements. Implemented robust MLOps pipelines for training, deployment, and lifecycle management, and established model monitoring with Prometheus, Grafana, and CloudWatch. Collaborated with stakeholders to align analytical solutions with business objectives and drive continuous experimentation.

Python Developer at Columbia Bank

November 1, 2021 - December 1, 2023

Participated in requirements analysis, detailed design, development, system testing, and UAT to deliver high-quality software. Built and deployed RESTful services using Django REST Framework to enable cross-domain integration. Leveraged Boto3 to automate AWS APIs for infrastructure management and secure cloud operations. Created and maintained RESTful APIs with Django MVT, integrating MySQL and MongoDB for data access. Automated deployments using Jenkins CI/CD. Managed deployments on AWS EC2 and S3, ensuring scalable and reliable infrastructure. Implemented secure authentication with Django and integrated frontend REST services. Conducted unit testing with PyUnit and participated in code reviews to improve quality. Troubleshot Python and Django issues and deployed updates to production. Worked on AJAX-driven data transformations and wrote SQL queries from Python.

Python Developer at Cleanline Surf

May 1, 2019 - October 1, 2021

Designed and implemented enterprise-grade Python applications for fraud analytics and risk assessment using Django. Built REST APIs with FastAPI and DRF for internal data platforms and reporting. Created batch and near real-time ETL workflows with Pandas and NumPy for financial data ingestion and transformation. Developed a Django-based web application for data processing, MySQL data storage, and front-end visualization with HTML/CSS/jQuery. Implemented AJAX to update pages asynchronously and optimized queries for performance. Refactored legacy code, promoted reusable patterns, and collaborated on integrating external REST services. Ensured secure deployments and scalable infrastructure.

Python Developer at Kitsap Bank

July 1, 2017 - April 1, 2019

Analyzed financial datasets with Pandas/NumPy, generating statistics and identifying trends. Created data transformation scripts to clean, normalize, and aggregate data for reporting. Built visualizations with Matplotlib/Plotly for management insights. Ingested external data via URLs and APIs, integrating into internal databases. Developed REST APIs for internal tools to expose processed data. Performed data validation, cleansing, and anomaly detection to ensure analytics quality. Documented data processes and scripts for reproducibility. Collaborated on Git-based code reviews and deployed updates to production.