Headline

AI Application Engineer | Full-Stack Developer | Building & Deploying Multi-LLM Solutions

About

I am a passionate and results-driven AI Engineer focused on moving prototypes into production. My core expertise lies in designing and engineering full-stack applications that leverage generative models (GPT-4, Gemini) to automate operational tasks and reduce latency. Key areas of practical experience include: Generative AI Development: Orchestrating complex multi-model workflows, implementing Retrieval-Augmented Generation (RAG) principles, and designing custom Hallucination Detection mechanisms to ensure factual integrity. Full-Stack Development: Architecting secure internal tools using React.js (Frontend) and Python (Backend) with robust Role-Based Access Control (RBAC). DevOps & Infrastructure: Hands-on experience with containerization using Docker for consistent local deployment and proficiency in managing PostgreSQL databases. Currently contributing to the Product team at Accredian, where I focus on translating business needs into scalable, code-based solutions. I am driven by efficiency and constantly looking for opportunities to optimize system performance and minimize API costs through token management and clean code practices.

Location

Bokaro

AI stack

claude code

codex

glama

hugging face

langgraph

mcp

Work experience

Founder's Office Intern at Techladder.AI, Mar 2026 - Present · 7 mos, Gurugram, * **Engineered low-latency Hinglish voice agents** for telephony, ensuring natural and fluid human-to-machine interactions. * **Developed reliable agentic workflows** to manage complex, intent-driven conversational scenarios and specialized scripts. * **Optimized bilingual linguistic processing** to enhance regional accuracy and pronunciation in voice interactions. * **Led the UI/UX restructuring of the analytics dashboard**, streamlining agent configuration and real-time monitoring. * **Refined system-level instruction sets** to improve response quality and operational efficiency on cloud infrastructure. * **Automated testing scenarios** and managed collaborative version control to maintain high deployment standards.

Data Science/ AI Intern at Accredian, Sep 2025 - Mar 2026 · 7 mos, Gurugram, Haryana, India, Engineered a GenAI application using Python and Streamlit, orchestrating GPT-4 and Gemini APIs to synthesize educational content, reducing manual drafting time by 80%. • Developed a custom Hallucination Detection layer to filter synthetic entities and ensure 99% factual accuracy in AI-generated outputs for educational use. • Architected a full-stack Cohort Management System (CMS) using React.js and Python, implementing Role-Based Access Control (RBAC) and secure PostgreSQL schema design. • Containerized applications using Docker for consistent deployment and implemented token management strategies to minimize LLM API costs

Project Intern at NP Construction, Feb 2024 - May 2024 · 4 mos, On-site, Managed daily progress monitoring of 15+ on-site tasks, identifying potential bottlenecks that resulted in a 5% improvement in workflow efficiency. Collaborated with a team of 5 engineers to streamline communication between departments, reducing response times by 20% and enhancing project coordination.

Education

Bachelor of Technology - BTech, Computer and Information Sciences and Support Services, nitte meenakshi institute of technology

Bachelor of Engineering, Computer Engineering, nitte meenakshi institute of technology

Public links

github: https://github.com/shaurya30-ops