# Neil Hansaria

> Co-Founder & SDE @ Amazon | Full Stack Engineer, Generative AI, Machine Learning

Location: New York, New York, United States
Profile: https://flows.cv/neilhansaria

I am a skilled technology professional with expertise in AI, full-stack development, and cloud architecture. My core competencies include designing and implementing AI solutions, particularly using generative models and cloud platforms like Microsoft Azure and AWS.

As a Co-Founder of Lasaria, a tech consulting company specializing in AI solutions, I lead the development of cutting-edge AI-driven products and provide strategic guidance to clients on leveraging AI to solve complex challenges.

## Work Experience
### Software Development Engineer @ Amazon
Jan 2025 – Present
• Designed and operated an AWS-native internal data platform transforming fragmented employee data into
clean, queryable datasets powering analytics, automation, and internal LLM/AI assistant workflows
• Developed MCP-integrated AI-assisted developer tooling to automate code reviews and push-to-production
checks, improving release velocity
• Built scalable APIs and services enabling self-service access to high-quality data for multiple
downstream teams and tools
• Owned systems end-to-end including architecture, deployment, observability, and on-call support

### Co-Founder @ Lasaria
Jan 2024 – Present | New York, United States
• Partnering with clients to architect and deploy full-stack, AI-driven solutions with containerized microservices and scalable generative AI frameworks, integrating large language models (LLMs) and cloud-native services.
• Supervising cloud migrations to AWS using serverless technologies such as Lambda and API Gateway, while implementing cost-optimized data pipelines and multi-region redundancies to reduce operational overhead.
• Leading development of a social music platform using React Native and Node.js/Express that integrates
gamification, real-time data processing, and AI-powered recommendations to enhance artist promotion.
• Architecting an event-driven infrastructure for core gamification features by leveraging AWS services
(EventBridge, SQS, SNS) to handle asynchronous workflows and decouple system components.
• Implementing streaming pipelines using Kafka for real-time ranking updates and recommendation processing, integrating SageMaker, TensorFlow, and other machine learning tools for data-driven insights.
• Designing and executing the database and systems architecture by leveraging DynamoDB for rapid
development, Redis for caching, and S3 for media storage to ensure robust performance and high availability.

### Generative AI Full Stack Engineer @ Huron
Jan 2024 – Jan 2025
• Developed a vendor-agnostic generative AI platform that supports diverse use cases—including interactive chat with source data, document generation, and content modification—by leveraging a Next.js/React frontend and a Python FastAPI backend.
• Engineered backend services that drive dynamic document processing and AI workflows, leveraging retrieval-augmented generation (RAG) techniques with embedding-based retrieval via Pinecone, agentic frameworks (Langchain/Langraph), and Amazon Bedrock for advanced natural language generation.
• Optimized cloud and container strategies by containerizing the platform with Docker and integrating AWS services (Lambda, S3, Fargate) to streamline deployments and maintain scalable, cost-effective operations across client environments.

### Full Stack Engineer @ Capital One
Jan 2021 – Jan 2024 | McLean, Virginia, United States
• Facilitated the migration of a monolithic contact-center application to a service-oriented/microservices architecture on AWS, leveraging Docker containers with Elastic Kubernetes Service (EKS) to encapsulate and deploy Node.js microservices, resulting in consistent environments and a 90% reduction in deployment times.
• Developed individual front-end service components using JavaScript and React.js to establish a unified design system, creating the perception of a single application. Employed Fastify on the backend for efficient routing, request processing, and response generation.
• Leveraged AWS services such as EC2, Lambda, and Elastic Load Balancer (ELB) to automate infrastructure provisioning, deployment, and scaling of microservices, ensuring high availability and performance of the contact-center application while developing a standardized CI/CD pipeline.


## Education
### Bachelor of Arts - BA in Computer Science
University of Virginia


## Contact & Social
- LinkedIn: https://linkedin.com/in/neilhansaria

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Source: https://flows.cv/neilhansaria
JSON Resume: https://flows.cv/neilhansaria/resume.json
Last updated: 2026-04-05