Rohit Goel

Senior Software Engineer

Bengaluru, Karnataka, India6 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in AI and data migration in SaaS.

MicroservicesAi & Prompt EngineeringData MigrationOrder Management

Analytical SkillsBackendCI/CDCode ReviewData ScienceDockerElasticsearchGenerative AIGitInventory ManagementKafkaKotlinKubernetesMongoDBMySQL

Dec 2022 – Present · 3 yrs 3 mos

🧠 AI & Prompt Engineering
Designed and deployed advanced prompt engineering pipelines to interface with ChatGPT,
Anthropic Claude, and Vertex AI, optimizing context injection, chaining, hallucination reduction.
Created modular Prompt Templates for in-editor developer assistance (code generation,
refactoring, tests), with dynamic parameters and context from files/functions.
🔍 RAG + Vector Store Development(Data Science + Backend)
Helped build RAG (Retrieval-Augmented Generation) pipelines to extract, semantically query:
Git repositories.
Context-aware docs embedding into ChromaDB and Vertex AI Vector Search optimized for developer content.
🧩 Plugin & Dev Tool Ecosystem
Led the architecture and delivery of AI-powered plugins for VS Code (TypeScript) and IntelliJ
(Kotlin), supporting: Secure OAuth login, User Management
📈 Feature & Platform Ownership
Architected backend microservices for:Licensing & Credit Systems,Email
Authentication & OAuth 2.0, Token Management & User Roles
Kubenetes management.
🚀 DevOps & Deployment
Well versed in Kubernetes deployment and management.
Owned the full lifecycle on GCP, using Docker, Kubernetes, and Harness for CI/CD pipelines.
Owner of On-premise deployment model for Baserock.ai

AI & Prompt EngineeringKubernetesDockerCI/CDMicroservicesGit+2

2 roles

Promoted

Dec 2020 – Mar 2022 · 1 yr 3 mos

📦 Warehouse Management: Focused on enhancing inventory management for clients. Executed
critical upgrades to existing code, significantly improving efficiency, and successfully implemented new
product-based requirements.
💼 Customer Onboarding Data Migration: Developed the data migration pipeline from old Dealer
Management Systems (DMS) to Tekion DMS by moving 10GB legacy Athena AWS data to
SQL/MongoDB/Elasticsearch in less than 5 minutes, using a multi-threaded interface.
🔄 Order Management: Ensured seamless interaction with the warehouse management for order
fulfillment and inventory reconciliation.
📣 Kafka Push Notification System: Developed a Kafka-based notification system for user alerts.
📊 Quick Reporting Creation Framework: Achieved a >95% increase in Excel report generation
efficiency; reduced screen load time from >20s to under 1s.
📈 Scalability: Scaled platform from a single client to over 200 clients with high reliability.