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I'm Harsha Vardhan V, an AI Agent Systems Engineer focused on building production-grade backends for stateful AI agents, with a passion for memory management, RAG pipelines, tool orchestration, and robust execution monitoring using FastAPI and LLMs. I design reliable, observable systems that ground AI with retrieval and grounding, enable deterministic post-processing, and scale across long-running text agents, real-time voice systems, and document intelligence. I value clear execution flows, modular tool boundaries, persistent state, and maintainable solutions, translating ambiguous requirements into scalable production infrastructure.…I'm Harsha Vardhan V, an AI Agent Systems Engineer focused on building production-grade backends for stateful AI agents, with a passion for memory management, RAG pipelines, tool orchestration, and robust execution monitoring using FastAPI and LLMs. I design reliable, observable systems that ground AI with retrieval and grounding, enable deterministic post-processing, and scale across long-running text agents, real-time voice systems, and document intelligence. I value clear execution flows, modular tool boundaries, persistent state, and maintainable solutions, translating ambiguous requirements into scalable production infrastructure.

Harsha Vardhan V

AI Engineer, Data Scientist, Back-End Developer, +2

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I'm Harsha Vardhan V, an AI Agent Systems Engineer focused on building production-grade backends for stateful AI agents, with a passion for memory management, RAG pipelines, tool orchestration, and robust execution monitoring using FastAPI and LLMs. I design reliable, observable systems that ground AI with retrieval and grounding, enable deterministic post-processing, and scale across long-running text agents, real-time voice systems, and document intelligence. I value clear execution flows, modular tool boundaries, persistent state, and maintainable solutions, translating ambiguous requirements into scalable production infrastructure.…I'm Harsha Vardhan V, an AI Agent Systems Engineer focused on building production-grade backends for stateful AI agents, with a passion for memory management, RAG pipelines, tool orchestration, and robust execution monitoring using FastAPI and LLMs. I design reliable, observable systems that ground AI with retrieval and grounding, enable deterministic post-processing, and scale across long-running text agents, real-time voice systems, and document intelligence. I value clear execution flows, modular tool boundaries, persistent state, and maintainable solutions, translating ambiguous requirements into scalable production infrastructure.

Available to hire

I’m Harsha Vardhan V, an AI Agent Systems Engineer focused on building production-grade backends for stateful AI agents, with a passion for memory management, RAG pipelines, tool orchestration, and robust execution monitoring using FastAPI and LLMs.

I design reliable, observable systems that ground AI with retrieval and grounding, enable deterministic post-processing, and scale across long-running text agents, real-time voice systems, and document intelligence. I value clear execution flows, modular tool boundaries, persistent state, and maintainable solutions, translating ambiguous requirements into scalable production infrastructure.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Generative AI Engineer at IndiVillage Tech Solutions – Spark Lab

April 1, 2025 - Present

Designed and built production-grade backend systems for document intelligence and RAG-based applications using FastAPI and LLMs. Implemented end-to-end processing pipelines combining OCR, vector retrieval, LLM orchestration, and deterministic post-processing for accuracy-critical use cases. Built and maintained agent-style execution flows with structured prompts, tool-like function boundaries, persistent state, and execution logging. Integrated external AI services with a focus on correctness, debuggability, and reliability. Collaborated with leadership to translate ambiguous requirements into clear system designs and maintainable implementations.

Data Processing Analyst at IndiVillage Tech Solutions

January 1, 2025 - April 1, 2025

Processed and validated large volumes of structured and unstructured data used in downstream AI/ML pipelines. Performed annotation, classification, and transformation tasks with emphasis on data quality and consistency. Identified data edge cases and quality issues early, reducing downstream pipeline failures. Collaborated with QA teams and project managers to meet strict delivery SLAs.