Arjun Pratap

AI Engineer with 4+ years of experience building and deploying production generative AI and agentic AI systems. Shipped end-to-end AI products using OpenAI API, LangChain, CrewAI, OpenRouter, RAG pipelines, and vector databases — not demos, real systems with real users. Built multi-agent automation spanning WhatsApp, Facebook, Instagram, Google, and JustDial.

Combines deep AI engineering with full-stack ownership (React.js, Node.js, MongoDB, ASP.NET Core) and strong software engineering fundamentals including system design, algorithms, data structures, and distributed systems.

Full Stack Developer - Amama Partners LLP - Noida, India

(2026-07)

• Designed and developed a full production real estate website at urbannestpro.com using React.js and Tailwind CSS, covering Home, Services, Projects, Contact, and Get Quote pages end-to-end.
• Integrated Web3Forms for serverless lead capture and quote enquiries, enabling contact form submission without a dedicated backend.
• Built a premium UI showcasing the company's portfolio of 500+ plots sold, 10+ projects, and 2+ active townships across Jaipur, improving digital presence and client acquisition flow.

Software Developer | Full Stack and AI Solutions - NIIT Ltd - Gurugram, India

(2022-09 - 2026-07)

• Applied system design principles to engineer 12+ enterprise modules using ASP.NET Core, React.js, Node.js, MongoDB, and SQL Server, following distributed service architecture patterns.
• Improved API response time by 35% through SQL indexing, query tuning, payload optimization, and service-layer refactoring, improving scalability for data-heavy reporting workflows.
• Added OpenAI API and LangChain features to support contextual search, content assistance, and faster knowledge access across business modules.
• Automated Excel upload and export workflows using object-oriented design patterns, reducing manual data handling effort by 40% for business and operations teams.
• Secured application modules using JWT authentication, role-based permissions, protected routes, and input validation.
• Cut production defects by 25% by introducing a structured regression checklist and root-cause analysis discipline for high-risk flows, later adopted team-wide.
• Maintained Docker and GitHub Actions CI/CD pipelines, reducing manual deployment tasks by 30%.
• Collaborated with product, QA, and operations teams across 15 sprint cycles, keeping delivery on schedule across 8+ business modules.
• Mentored 4 junior developers through 20+ debugging sessions, API design, algorithms, data structures, and software engineering best practices.

Bachelor of Engineering - Computer Engineering - Ramrao Adik Institute of Technology, University of Mumbai (2018-08 - 2022-05)