👋🏼 Hello, I'm
Jay Vekariya
Software Engineer · Go, TypeScript, Cloud-Native Systems
Software Engineer with 2+ years of experience building distributed systems and cloud-native applications. Led large-scale monolith-to-microservices migration improving system throughput and deployment velocity. Proficient in TypeScript, Go, and Python with hands-on experience in Kubernetes, AWS, and CI/CD infrastructure.
Skills
Next.js
React
Typescript
Javascript
Go
Python
Java
Git
HTML5
CSS3
Express
Node.js
PostgreSQL
MongoDB
TailwindCSS
Packer
Terraform
GCP
Experience
Software Engineer
Dassault Systèmes
Jan 2025 - May 2026
- Reduced engineer triage time 50% by building a sequential multi-agent AI pipeline in LangGraph with an Elasticsearch MCP server to auto-generate root cause reports
- Enabled A/B testing and instant rollbacks via a feature flag platform in TypeScript with MSSQL and Redis, eliminating redeploy cycles
- Slashed deployment time 96% by building a deployment orchestrator in ASP.NET Core with automated rollbacks and a Next.js dashboard
- Boosted throughput to 4M+ Elasticsearch docs/hr from SolidWorks session/crash logs by decomposing a Python monolith into a 5+ service ETL pipeline in TypeScript on Kubernetes
- Trimmed debugging time 75% with OpenTelemetry traces and Elasticsearch for full-stack observability
- Cut project setup time 97% with a reusable starter template with CI/CD, testing, and a CLI tool
- Shrunk container images 75% and cut startup time 80% by standardizing Alpine Linux and authoring Helm charts, eliminating config drift
- Eliminated 70% of duplicated code across microservices by publishing an internal NPM package centralizing shared utilities with CI/CD
Software Engineer
Infosys Limited
Jun 2021 - Jul 2023
- Led migration of on-prem services to cloud-native GCP, containerizing with Docker and cutting infra provisioning from days to minutes via Terraform
- Accelerated cashier checkout speed by 20% by developing the React frontend for Macy's in-store order management app across retail locations
- Shortened release cycles 20% delivering a Jenkins CI/CD pipeline for the Java order backend
- Saved 50% of manual ops effort by authoring Bash tooling to automate log rotation and SSL cert renewal, preventing disk-fill incidents
- Served 10K+ daily requests from analytics teams by designing Java REST APIs aggregating in-store order data for Macy's reporting dashboards
Education
Northeastern University
Boston, MA
Sep 2023 - Dec 2025
Master of Science
Software Engineering Systems
Dharmsinh Desai University
Nadiad, IN
Sep 2017 - May 2021
Bachelor of Engineering
Instrumentation and Control Engineering
Projects
Engineered a cloud-native CVE processing system on AWS EKS using Go, Kafka, PostgreSQL, and custom Kubernetes Operators. Integrated Hugging Face Transformers, Pinecone Vector DB, and LLaMA3 to deliver context-aware CVE query responses via a Flask API.
Financial Advisor AI
Architected a multi-agent RAG pipeline using LangChain and LangGraph with intelligent query routing, delivering grounded responses with source citations via a Flask API. Built a Python microservice with FastAPI for LLM orchestration, integrated with a Spring Boot API gateway and a React dashboard.
