Looking for a job

Ayush User

@ayushuser28

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I build backend and AI infrastructure for distributed workflows, semantic search, and reliable data systems.

India

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What I'm looking for

I'm looking to build backend, distributed, cloud, and AI infrastructure systems where I can work on reliable workflows, data-intensive services, semantic search, and production-grade system design.

I've built backend and AI workflow systems at TheAgentic, Qlaws.ai, Dream Skrin, and MINTRIX. My work includes FastAPI and LangGraph services, risk-analysis pipelines, semantic candidate-job matching, and RAG-powered document retrieval.

I also build systems from the ground up, including GridLocalizer's telemetry-driven outage workflow and KilnDB, a relational database engine with WAL, B+ Trees, MVCC, and crash recovery.

Experience

Work history, roles, and key accomplishments

Backend Engineer

TheAgentic

Sep 2025 - Apr 2026 (7 months)

Built backend services using FastAPI and LangGraph to support automated workflows across multiple business use cases. Developed risk analysis pipeline and semantic search system for candidate-job recommendations.

fastAPI LangGraph Python Semantic Search Vector Databases Risk Analysis

Backend Engineer

Qlaws.ai

Jun 2025 - Aug 2025 (2 months)

Improved document processing pipeline using LangGraph orchestration and migrated 100K+ legal document vectors to Weaviate. Built RAG-based backend services using Redis and PostgreSQL.

LangGraph Weaviate RAG Redis PostgreSQL Document Processing

Backend Engineer

Dream Skrin

Oct 2024 - Jan 2025 (3 months)

Designed backend intelligence layer connecting procurement, inventory, and logistics workflows. Built demand forecasting and automated reordering pipeline using XGBoost.

XGBoost Temporal Distributed Systems Supply Chain

Backend Engineer

MINTRIX

May 2024 - Oct 2024 (5 months)

Built RAG-powered chatbot using LangChain and Weaviate for student learning assistance. Improved API performance through caching and database query optimization.

Lang Chain Weaviate RAG Caching API Performance