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Full-stack / AI engineer building agentic AI systems, end-to-end web platforms, and production-grade backend services. I design deterministic, auditable tool-based architectures and use LLMs for reasoning, orchestration, and user-facing copilots. I’ve shipped AI platforms across recruitment, onboarding, lead qualification, and document/medical extraction, leveraging FastAPI, LangGraph, async data layers, and AWS deployment. I enjoy multi-agent systems, knowledge graphs, RAG, and confidence-gated routing with operator-in-the-loop controls.…Full-stack / AI engineer building agentic AI systems, end-to-end web platforms, and production-grade backend services. I design deterministic, auditable tool-based architectures and use LLMs for reasoning, orchestration, and user-facing copilots. I’ve shipped AI platforms across recruitment, onboarding, lead qualification, and document/medical extraction, leveraging FastAPI, LangGraph, async data layers, and AWS deployment. I enjoy multi-agent systems, knowledge graphs, RAG, and confidence-gated routing with operator-in-the-loop controls.

Venkatesh Vishnudas

AI Engineer, Full Stack Developer, Programmer, +2

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Full-stack / AI engineer building agentic AI systems, end-to-end web platforms, and production-grade backend services. I design deterministic, auditable tool-based architectures and use LLMs for reasoning, orchestration, and user-facing copilots. I’ve shipped AI platforms across recruitment, onboarding, lead qualification, and document/medical extraction, leveraging FastAPI, LangGraph, async data layers, and AWS deployment. I enjoy multi-agent systems, knowledge graphs, RAG, and confidence-gated routing with operator-in-the-loop controls.…Full-stack / AI engineer building agentic AI systems, end-to-end web platforms, and production-grade backend services. I design deterministic, auditable tool-based architectures and use LLMs for reasoning, orchestration, and user-facing copilots. I’ve shipped AI platforms across recruitment, onboarding, lead qualification, and document/medical extraction, leveraging FastAPI, LangGraph, async data layers, and AWS deployment. I enjoy multi-agent systems, knowledge graphs, RAG, and confidence-gated routing with operator-in-the-loop controls.

Available to hire

Full-stack / AI engineer building agentic AI systems, end-to-end web platforms, and production-grade backend services. I design deterministic, auditable tool-based architectures and use LLMs for reasoning, orchestration, and user-facing copilots.

I’ve shipped AI platforms across recruitment, onboarding, lead qualification, and document/medical extraction, leveraging FastAPI, LangGraph, async data layers, and AWS deployment. I enjoy multi-agent systems, knowledge graphs, RAG, and confidence-gated routing with operator-in-the-loop controls.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Work Experience

Distributor Onboarding (AI system design) at Reliance Consumer Private Limited (RCPL) Distributor

June 1, 2026 - Present

Designed an 8-agent AI system using LangGraph with a supervisor agent routing user requests to specialist agents (Intake, Evaluation, Recommendation, Routing, etc.). Implemented streaming of specialist agent reasoning to the UI. Kept business logic in deterministic, testable tools backed by PostgreSQL, using OpenAI primarily for reasoning and drafting so that agent decisions remain auditable and reproducible.

AI-Powered Campus Recruitment Platform (Project) at LaunchBae

November 1, 2025 - June 1, 2026

Built an AI-powered campus recruitment platform using FastAPI (async SQLAlchemy), PostgreSQL, and React/TypeScript, deployed on AWS EKS with Aurora, Vault, and SSL. Implemented agentic assistants across recruiter, interviewer, and candidate experiences using LLM function calling and MCP tools for domain-specific actions. Added a knowledge-graph layer for skill-gap analysis and career-path reasoning, and implemented a multi-factor recommendation engine with AI candidate screening supported by live proctoring.

Full-Stack / AI Engineer at AidenAI

November 1, 2025 - Present

Engineered and deployed AI-powered systems using FastAPI, async SQLAlchemy, PostgreSQL, React/TypeScript, and AWS (EKS, Aurora, Vault, SSL). Built agentic AI assistants (recruiter, interviewer, candidate copilots) with function-calling tool registries and MCP tools covering analytics, jobs, candidates, and partnerships. Designed a knowledge-graph layer for skill-gap analysis and career-path reasoning, plus a multi-factor recommendation engine and AI screening with live proctoring. Worked on productionizing workflows for scalable multi-domain AI behavior and reliable deployment.

Project Intern at 256 Technologies

June 1, 2025 - August 1, 2025

Built an RFID-powered full-stack inventory management system to automate tool tracking and reduce manual counting time by 85%, improving real-time visibility. Designed backend architecture using Spring Boot, REST APIs, and SQLite3 to optimize RFID data handling and boost retrieval efficiency by 90%.

AI Intern at Graylogic Technologies

June 1, 2024 - August 1, 2024

Developed an AI-powered resume evaluation system with an interactive Streamlit interface, accelerating candidate screening speed by 70%. Integrated MongoDB for efficient storage and retrieval of resumes and job postings, improving data access and scalability by 60%.