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

I'm Nikhil Vuyyuru, a Senior Full Stack Developer with 11+ years building AI-native backend platforms that blend Python and TypeScript/Node.js across cloud-serverless architectures. I design end-to-end pipelines for multimodal data, retrieval-augmented context, and human-in-the-loop systems with a strong focus on reliability, cost-efficiency, and secure production deployments. I'm passionate about building observable, contract-safe APIs and dashboards that empower product, security, and operations teams to ship high-quality AI features at scale.…I'm Nikhil Vuyyuru, a Senior Full Stack Developer with 11+ years building AI-native backend platforms that blend Python and TypeScript/Node.js across cloud-serverless architectures. I design end-to-end pipelines for multimodal data, retrieval-augmented context, and human-in-the-loop systems with a strong focus on reliability, cost-efficiency, and secure production deployments. I'm passionate about building observable, contract-safe APIs and dashboards that empower product, security, and operations teams to ship high-quality AI features at scale.

NIKHIL VUYYURU

Full Stack Developer, AI Engineer, Data Scientist, +2





I'm Nikhil Vuyyuru, a Senior Full Stack Developer with 11+ years building AI-native backend platforms that blend Python and TypeScript/Node.js across cloud-serverless architectures. I design end-to-end pipelines for multimodal data, retrieval-augmented context, and human-in-the-loop systems with a strong focus on reliability, cost-efficiency, and secure production deployments. I'm passionate about building observable, contract-safe APIs and dashboards that empower product, security, and operations teams to ship high-quality AI features at scale.…I'm Nikhil Vuyyuru, a Senior Full Stack Developer with 11+ years building AI-native backend platforms that blend Python and TypeScript/Node.js across cloud-serverless architectures. I design end-to-end pipelines for multimodal data, retrieval-augmented context, and human-in-the-loop systems with a strong focus on reliability, cost-efficiency, and secure production deployments. I'm passionate about building observable, contract-safe APIs and dashboards that empower product, security, and operations teams to ship high-quality AI features at scale.

Available to hire

I’m Nikhil Vuyyuru, a Senior Full Stack Developer with 11+ years building AI-native backend platforms that blend Python and TypeScript/Node.js across cloud-serverless architectures. I design end-to-end pipelines for multimodal data, retrieval-augmented context, and human-in-the-loop systems with a strong focus on reliability, cost-efficiency, and secure production deployments.
I’m passionate about building observable, contract-safe APIs and dashboards that empower product, security, and operations teams to ship high-quality AI features at scale.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior AI/ML Software Engineer at Walmart, Austin, TX

January 1, 2024 - Present

Engineered Python 3.11 micro-services on AWS Lambda to process retailer receipts and product images, converting visual content into schema-validated product attributes grounded to authoritative catalog records. Implemented retrieval-augmented context with Supabase embeddings and JSONB lookups, designed PyTest evaluation harnesses, and deployed edge inference on Cloudflare Workers to meet sub-140ms round-trips. Orchestrated resilient processing with AWS SQS and Step Functions, created TypeScript API gateways, added dynamic cost tracking via AWS Cost Explorer, and integrated Secrets Manager rotation for SOC 2 compliance. Built a self-service React reviewer tool for merchants, instrumented OpenTelemetry tracing to Datadog, and implemented hybrid BM25 + embedding retrieval with deterministic fallbacks. Refactored monoliths into modular FastAPI components and deployed blue-green Lambda updates via GitHub Actions and AWS SAM.

AI/ML Full Stack Engineer at Elevance Health, Ashburn, VA

July 1, 2022 - December 1, 2023

Designed Python FastAPI micro-services on AWS Lambda to ingest prior-authorization PDFs and scanned clinical attachments, capture metadata, and store auditable records in PostgreSQL with row-level security for HIPAA compliance. Built asynchronous TypeScript handlers orchestrated by EventBridge, implemented streaming multipart uploads to S3, refactored legacy Java modules to Python, and created SQLAlchemy repositories for seamless staging-to-production migrations. Developed Airflow DAGs to populate Redshift analytics marts, crafted DBT models for canonical patient-360 views, and built Debezium CDC jobs feeding downstream models via Kafka. Implemented semantic similarity search with SentenceTransformers and Pgvector, provisioned CIS-compliant infrastructure with Terraform, and integrated CI/CD and observability tooling.

Python/ML Developer at State of Michigan, Lansing, MI

May 1, 2020 - June 1, 2022

Developed Python FastAPI services on Azure Functions to parse eligibility applications, introduced JWT-based authentication via Azure AD, and enforced strict input validation with Pydantic. Modeled household data in PostgreSQL, built incremental data loads with Azure Data Factory, and authored Great Expectations data-quality scorecards. Created reusable PyTest tests, containerized services with Docker, and automated CI/CD with Azure DevOps. Integrated Weaviate vector search for semantic citizen queries and collaborated with policy teams to codify rules in YAML.

Software Engineer at Wells Fargo, Charlotte, NC

June 1, 2018 - April 1, 2020

Constructed Python Flask APIs calculating market-risk metrics and delivering JSON reports to compliance tools. Optimized PostgreSQL workloads with partitioning and indexes, integrated Azure Service Bus queues to decouple ingestion from risk calculations, and implemented Marshmallow validators to ensure message integrity. Built a historical position warehouse on Azure SQL, performed cross-database ETL from Oracle, and prototyped Basel III factors. Developed a fraud-propensity model with scikit-learn, tracked experiments with MLflow, and established blue-green Lambda deployment pipelines and monitoring dashboards.

Python Developer at Fidelity Investments, India

July 1, 2013 - December 1, 2016

Developed core Python modules for FIX message parsing and mapping to canonical trade objects, refactoring Perl scripts to Python for reliability. Built multithreaded ingestion to PostgreSQL, created lightweight REST endpoints with Bottle, implemented a pluggable pricing adapter, and migrated support for Oracle-to-Postgres via Liquibase. Added materialized views for intraday P&L, wrote shell scripts for partition maintenance, and collaborated with traders to model exotic flows. Implemented CI pipelines with Jenkins and Dockerized services, enabling reproducible deployments and governance.