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Santhosh Patel
Summary
Full Stack AI Engineer with about 4 years of experience building AI-powered products, AI agents, SWE agents, RAG systems, multi-agent architectures, and enterprise automation platforms. Experienced in developing scalable web, desktop, and mobile applications using Python, TypeScript, Node.js, React, FastAPI, Tauri, and modern LLM frameworks. Skilled in designing production-grade AI systems, agent workflows, retrieval pipelines, and backend architectures that improve operational efficiency and business outcomes.
Work Experience
AI Engineer (Full Stack & Agent Systems)
Enculture
- Built production AI systems and designed RESTful APIs in TypeScript/Node.js with FastAPI, integrating large language models
- Designed multi-agent systems for reasoning, planning, and execution
- Developed OpenClaw-based GitHub SWE agent for issue-to-PR automation
- Built webhook pipelines, tool integrations, and sandboxed execution environments with tool-calling architectures
- Optimized inference pipelines for cost, latency, and scalability
- Implemented retrieval-augmented generation (RAG) pipelines to enhance context retrieval and response accuracy
AI Consultant (Nethermind Projects)
Demerzel Solutions
- Designed AI agents and audit systems for workflow and code validation
- Built LLM-based and rule-based validation pipelines with AI guardrails for safe execution
- Prototyped decentralized AI data systems and agent workflows
- Delivered technical documentation and system design strategies
Full Stack AI Developer
CRE8TAR
- Architected AI applications integrating LLMs into production workflows
- Built FastAPI and Node.js backends for real-time inference
- Developed frontend using Next.js and React
- Documented APIs, system flows, and scaling strategies
Freelance AI Agent Developer & RAG Engineer
Freelance
- Built intelligent agents using LangChain, Langflow, and PyTorch
- Developed RAG systems with semantic search and dynamic context retrieval
- Implemented hallucination control and response validation pipelines
Data Engineer
MyGateway
- Built data management applications and ETL pipelines for blockchain wallet and transaction data
- Managed user, credential, and transaction datasets across Web3 systems
- Developed workflows for data extraction, transformation, reporting, and analytics
- Supported secure digital credential issuance and identity management solutions
Backend Engineer Part-Time
Homesify
- Worked on order management systems, data analysis, and ETL pipelines
- Assisted in developing and maintaining APIs and backend services
- Processed large datasets and managed worksheets and business data
- Built data workflows to support reporting, automation, and operational efficiency
Education
BTech, Data Science
TKR College of Engineering & Technology, Hyderabad
Diploma, Mechanical Engineering
CJITS, Warangal
Skills
AI Systems: AI Agents, Multi-Agent Systems, RAG, LLM Infrastructure, OpenClaw, NemoClaw, Large Language Models (LLM), Retrieval-Augmented Generation (RAG) Pipelines, Tool-calling Architectures, AI Security, AI Guardrails, AI Evaluation Frameworks, AI Observability Frameworks
Languages: Python, JavaScript, TypeScript, Go
Frameworks: FastAPI, Node.js, Next.js, React, LangChain, Langflow, PyTorch
Data & Infra: PostgreSQL, MongoDB, Redis
DevOps: Docker, Kubernetes, CI/CD, AWS, GCP, Azure
Certifications
Microsoft Certified: Azure Fundamentals, Python for Data Science and AI – Coursera, NPTEL: Data Structures and Algorithms, HackerRank Certifications (Python, JavaScript, APIs, Databases)
Projects
Workforce AI Platform
- Led development of a cross-platform, AI-powered workforce and organization management platform centralizing teams, operations, workflows, and AI usage.
- Developed Tauri desktop applications for Windows and macOS plus Capacitor-based Android mobile apps, sharing a React/TypeScript codebase.
- Designed a multi-tenant architecture with embedded AI assistants to automate operational workflows across organizations and teams.
AI Audit System
- Built an audit agent in Python leveraging LLMs and rule-based validation to enforce AI security guardrails
- Enabled traceability and explainability for agent decisions using an evaluation and observability framework
- Integrated the agent with internal audit APIs and a RAG pipeline for real-time context retrieval
Documentation Agent
- Automatically generates structured documentation from codebases
- Analyzes APIs, architecture, and dependencies for context-aware documentation
GitHub SWE Agent
- Built LLM harness with agentic loops to automate issue-to-PR workflow across multiple agents
- Designed and implemented a TypeScript/Node.js backend with GitHub API integration and webhook-driven pipelines
- Developed planning, reasoning, and execution layers with tool-calling architecture in sandboxed environments