Anuj Mishra
@anujmishra152001
Project Software Engineer at India Optel Limited
Dehradun, Uttarakhand, India
Anuj Kumar Mishra is a Project Software Engineer at India Optel Limited with a background in Computer Science and Engineering. He has extensive experience in full-stack development and AI/ML, having worked on modular ERP systems, AI-driven patent analysis tools, and machine learning models for precision agriculture. He holds a Bachelor of Technology in Computer Science and Engineering from Rajkiya Engineering College, Kannauj.
Experience
Project Software Engineer
India Optel Limited
ERP Architecture & Scalability: Spearheaded the development of a modular ERP system using Next.js and Node.js, engineering high-performance Sales and HR modules integrated with over 25 specialized RESTful APIs to handle complex business logic. ● Access Control & Security: Implemented a robust Role-Based Access Control (RBAC) system with Single Sign-On (SSO) and Single Log Out (SLO) using Supabase, ensuring secure data isolation and automated user provisioning across all organizational modules. ● Module-Specific Development: Custom-built a Sales module utilizing 10+ APIs for real-time transaction tracking and an HR section with 15+ APIs for employee lifecycle management, significantly improving data accessibility and reporting efficiency. ● Agile Methodology: Directed the end-to-end SDLC within an Agile/Scrum framework, coordinating between frontend and backend requirements to ensure sub-second latency for mission-critical ERP queries. ● Multimodal AI Integration: Engineered an advanced on-premises AI system for Intellectual Property India, facilitating real-time API calls to a self-hosted LLM model for automated patent and trademark query analysis. ● Chatbot Development: Developed a high-engagement chatbot using a React.js frontend, optimizing asynchronous API interactions to deliver seamless, real-time responses for legal and technical document retrieval. ● Secure Infrastructure: Deployed the chatbot on secure on-premises H100 GPU infrastructure, maintaining strict data privacy protocols while processing sensitive intellectual property data through localized model inference. ● Full-Stack Optimization: Utilized LlamaIndex and FAISS vector databases to enable deep retrieval from complex image-based schematics, achieving high precision in automated patent trend and status analysis.
Education
Rajkiya Engineering College Kannauj Uttar Pradesh
Bachelor of Technology
Computer Science
Licenses & Certifications
Aws certified AI practitioner
Amazon Web Services
Credential ID: a41b41f16f1a42a39f60c8fe6ef3127d
View Credential