Tanmay Arora
Backend Engineer building Production GenAI Systems | LLMs → Deterministic APIs | FastAPI • RAG • SQL | Axtria
- Role
- Backend Genai Engineer (Analyst) at Axtria - Ingenious Insights
- Location
- Meerut, UP, IN
- LinkedIn followers
- 500 followers
About Tanmay Arora
Backend Engineer specializing in Generative AI and LLM-based systems, with hands-on experience building production-ready AI backends.Currently at Axtria, I work on GenAI-powered backend platforms that automate complex workflows, convert business logic into deterministic systems, and integrate with enterprise-scale data pipelines.My focus is on engineering reliable GenAI systems—combining LLM reasoning with structured validation, governance logic, and API-first architectures to ensure correctness, scalability, and real-world usability.Core expertise:Backend development for GenAI & LLM systemsFastAPI-based REST APIsRetrieval-Augmented Generation (RAG) & vector databasesPrompt engineering & hallucination reductionSQL-intensive systems (Snowflake, PostgreSQL)Building explainable, production-grade AI solutionsTech Stack:Python | FastAPI | Generative AI | LLMs | RAG | Vector DBs | SQL | Snowflake | PostgreSQLOpen to opportunities as a Backend GenAI Engineer / AI Platform Engineer / LLM Engineer, where I can contribute to building scalable AI systems used in real production environments.
Experience
Backend Genai Engineer (Analyst)
Jul 2025 — Present · Noida, IN
Design and develop production-grade Generative AI backend systems for enterprise data quality and analytics workflows.Build LLM-driven pipelines that convert schema metadata and business logic into deterministic, Snowflake-compatible SQL validations.Implement Retrieval-Augmented Generation (RAG) pipelines using vector similarity search to improve response accuracy and reduce hallucinations.Engineer rule governance, prioritization, and override controls to ensure compliance-critical and authoritative rules remain enforced.Standardize AI-generated outputs into machine-readable JSON contracts for seamless integration with enterprise pipelines.Develop FastAPI-based REST services to expose GenAI capabilities to downstream systems.Reduce repeated manual data-quality effort by 40–50% through rule reuse and configurable backend workflows.Improve data quality consistency and audit readiness by ~45% across large, multi-layered datasets.Collaborate with cross-functional teams to deliver scalable, explainable, and production-safe AI solutions.
Education
KIET Group of Institutions
Bachelor of Technology - BTech, Computer Science
2021 — 2025
St. Mary's Academy, Meerut Cantt.
10th
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