Shreyansh Karamtot

Backend Engineering · AI Tooling · Workflow Systems · Open Source

I'm Shreyansh Karamtot, a backend-focused software engineer interested in workflow orchestration, AI developer tooling, automation systems, and open-source infrastructure.

Currently working on:

• backend workflow and service-integration systems
• LLM-assisted developer tooling and retrieval systems
• automation platforms with observability and execution tracking
• meaningful open-source contributions through GSSOC 2026
• competitive programming and interview-oriented DSA

Jan 2026 – Present · Hyderabad

• Built backend workflow and service-integration systems around REST-based orchestration.
• Worked with Python/FastAPI services, shared execution context, workflow observability, and simulator-based testing.
• Built tooling around semantic ticket intelligence and workflow analytics.

June 2025 – July 2025 · Pune

• Developed Python automation scripts for Oracle AFCS metadata comparison across production-like environments.
• Built discrepancy detection and reporting workflows using Pandas, NumPy, Selenium, and Excel-based validation.
• Automated report extraction and email reporting to reduce repetitive manual validation effort.

Focused on backend systems, tooling infrastructure, testing, documentation, and maintainability.

Local-first retrieval system for code-oriented LLM workflows.

• repository indexing
• selective context injection
• masking and secure context handling
• modular microservice orchestration
• approve-before-write inference flow

Stack: Spring Boot FastAPI PostgreSQL Docker

Collaborative UI/API automation platform with resilient execution workflows.

• Playwright-based execution engine
• self-healing selector recovery
• RBAC and execution analytics
• step-level audit trails
• optional LLM-assisted debugging

Stack: Node.js Next.js MongoDB Playwright

B.Tech in Computer Science and Engineering
Motilal Nehru National Institute of Technology Allahabad
2026