# Nabh Patodi > AI-ML and Backend Engineer based in Indore, India. Available globally for freelance projects, consulting, and full-time engineering roles. Specialises in production LLM features, RAG systems, multi-agent platforms, MLOps, and scalable backend architecture. B.Tech Computer Science, SRM IST (May 2026). Current role: Software Development & AI Engineer at Comoto Holdings (July 2025 – present). Previous: R&D Intern at Samsung R&D Institute India — Bengaluru (Jan 2024 – Sept 2024). ## Primary Pages - [Portfolio home](https://nabhpatodi.com/): Bio, hero, featured projects, tech stack, services, FAQ, and contact form. - [Resume](https://resume.nabhpatodi.com/): Full rendered resume — experience, education, projects, publications, skills. - [Resume PDF](https://resume.nabhpatodi.com/Nabh_Patodi_Resume.pdf): Downloadable PDF copy. - [llms-full.txt](https://nabhpatodi.com/llms-full.txt): Full inline site content for language models that prefer a single document. ## Featured Projects - [Research-AI](https://github.com/nabhpatodi10/Research-AI): Full-stack deep-research platform with multi-agent architecture, citation-grounded long-form document generation, pluggable LLM providers. Top performer on DeepResearch Bench — beats OpenAI, Gemini, Perplexity and other deep-research agents. Stack: FastAPI, React.js, Tailwind, Firebase, LangGraph/LangChain, OpenAI, Gemini. - [Computer-Use Agent](https://github.com/nabhpatodi10/Computer-Use-Agent): Multimodal desktop AI agent that translates natural-language goals into a perception → action loop controlling the mouse and keyboard. Runs fully local or hybrid. Dual backends — Microsoft GUI-Actor vision and OmniParser + LLM parsing — behind a compact LangGraph agent. - Internal Multi-Agent Platform (at [Comoto Holdings, USA](https://ridecomoto.com/)): Production microservice-based multi-agent RAG platform. Real-time RAG pipeline + custom data connectors over enterprise sources; E2E latency <7s; analytics dashboard with prompt/agent management, RBAC and Google SSO; deployed across on-prem datacentre and GCP. - [DigiBanker](https://github.com/nabhpatodi10/DigiBanker) (Standard Chartered Hackathon 2025): Agentic AI Branch Manager assisting KYC and loan workflows with multimodal inputs. Prototype hit >90% classification accuracy with ~10s typical E2E latency. Stack: FastAPI, React.js, MongoDB, OpenCV, TensorFlow, Keras. - Health Device Information Classification (at [Samsung R&D India — Bengaluru](https://research.samsung.com/sri-b)): 120+ classification models on sensor/health signals; ~85% average accuracy across device types; 10,000+ records processed; scheduled retraining pipeline. ## Services - AI/ML Engineering — LLM features, RAG systems, prompt pipelines, eval frameworks, production-ready AI workflows. - Backend Architecture — scalable API design, domain modelling, auth patterns, service boundaries, maintainable backend systems. - MLOps and Model Serving — model versioning, deployment automation, inference optimisation, reliable serving for production ML. - Data Pipelines and Integrations — batch and streaming pipelines, ETL orchestration, backend integrations. - Observability and Monitoring — telemetry, alerts, dashboards, SLO tracking across APIs, AI services, and ML workloads. ## Stack - Languages: Python, Java, C/C++, JavaScript/TypeScript, R, SQL. - AI/ML: PyTorch, TensorFlow, Keras, Scikit-learn, OpenCV, LangChain, LangGraph, CrewAI. - Backend/Data: FastAPI, Django, Flask, PostgreSQL, MongoDB, MySQL, Redis, Firebase. - Full-stack: React.js, Next.js, Tailwind. - Infra & DevOps: Docker, Kubernetes, Helm, Git, CircleCI, CI/CD, AWS, GCP, Azure. ## Publications - "User Identification Based on Health Device Readings" — Nabh Patodi, Tanmay Agarwal, Madhumitha K. https://ssrn.com/abstract=5833942 - "Smart Security System with Voice Bot" — Nabh Patodi et al., International Journal of Innovation in Engineering Research & Management, 12(1), 54–60. https://journal.ijierm.co.in/index.php/ijierm/article/view/2633 ## Contact - Email: nabhpatodi1005@gmail.com - Phone: +91 76940 72747 - Book a 30-minute call: https://cal.com/nabhpatodi/30min - LinkedIn: https://www.linkedin.com/in/nabhpatodi10 - GitHub: https://github.com/nabhpatodi10 - Upwork: https://www.upwork.com/freelancers/nabhpatodi ## Optional - [sitemap.xml](https://nabhpatodi.com/sitemap.xml): Machine-readable URL index. - [resume-sitemap.xml](https://resume.nabhpatodi.com/resume-sitemap.xml): Resume subdomain URL index. - [robots.txt](https://nabhpatodi.com/robots.txt): Crawler directives (all LLM / AI crawlers explicitly allowed).