Vamsi Av

Software Engineer - AI

About

Hello! This is me : Backend engineer building systems that stay reliable under real-world load. I’ve worked on retail platforms at Apple and personalization system for Adobe client - designing REST APIs, Kafka-based data pipelines, and scalable backend services that power production users every day. Worked on React & other front- end components, integrating Ai, wherever it wanted to sit. I care about clean data, strong fundamentals, and engineering decisions that hold up over time. If it runs in production and real users depend on it - that’s where I do my best work.

Country

United States

City

San Francisco Bay Area

Industry

Computer Software

Skill

SQL for Data Analysis, Machine Learning - TensorFlow, Pytorch, Keras, Express js API calls in Node JS, ETL using PySpark, Docker and Kubernetes, Tableau for DA, Machine Learning, Large Language Models (LLM), Computer Vision, Google office suite - 5 applications, Pruning, Original Research, Model Training, Data Preparation, Communication, Python scripting, DSA using Python, TypeScript, Dynamic Programming, User Interface Design

Experience

Software Engineer - AI

Webologix - Adobe End Client

2025-8 - 2025-12 · 5 mos

San Jose, California, United States

AI Engineer

Krasan Consulting Services

2024-5 - 2024-7 · 3 mos

Chicago, Illinois, United States

• Built backend microservices for Krasan’s job-matching platform using Go, Python, and gRPC, integrating PostgreSQL to deliver low-latency, salary-aware search results for enterprise clients. • Deployed LLM-powered salary predictors using LangChain, and custom scoring layers, containerized via Kubernetes with Terraform-based rollout policies across staging and multi-cloud prod zones. • Enabled observability using Prometheus, & Grafana, monitoring ML inference times, feature drift, and API stability across real-time workflows built with the JavaScript stack frontend

Software Engineer

TCS/ Apple

2020-7 - 2023-7 · 3 yrs 1 mo

Hyderabad, Telangana, India

• Built backend services for Apple’s Banjo Portal for Apple accessories in whole of South India, using Node.js & javascript, integrating with React-based UIs and handling 4M+ daily queries under 100ms using connection pooling and Redux-driven state. • Developed inventory APIs in Node.js with PostgreSQL, powering zone-wise retail tracking and accelerating reconciliation flows across Banjo Portal’s multi-region supply chain dashboards. • Engineered telemetry ingestion with Kafka and Airflow, streaming from 80+ stores to power live dashboards and real-time store analytics for regional demand tracking. • Containerized backend modules with Docker and deployed via Kubernetes Helm, ensuring safe rollouts and reducing rollback time during Banjo Portal’s peak weekend sync jobs. • Provisioned infrastructure using Terraform on AWS EC2, standardizing environments and improving system traceability across test, staging, and production clusters. • Used Prometheus to collect real-time metrics for API latency and system load in Banjo Portal services, enabling early alerting during performance dips. Grafana dashboards were built for error trends and deployment monitoring, helping teams quickly identify and debug live production issues. • Collaborated on deployment governance and concurrency tuning; mentored 8 interns in coding techniques and the entire development pipeline, earning the Collaborative Champion Award.