Headline

B.Tech AI Student @ Bennett University | AI Engineer @ Afflatus | GenAI • RAG • LLMOps • FastAPI • LangGraph

About

AI engineer focused on building production-grade GenAI and automation systems. Currently working at Afflatus Gravures on Agentic RAG infrastructure using LangGraph, FastAPI, Pinecone, vLLM, and RAGAS, contributing to retrieval optimization, orchestration pipelines, and low-latency inference systems. Previously worked on: • ERP systems for 500+ users at Mawai Infotech • Infrastructure and digital systems engineering at Weber Innovations • AI-driven document automation and NLP workflows • Backend systems, API integrations, and scalable architectures Core Areas: • Generative AI • Large Language Models (LLMs) • Agentic AI Systems • Retrieval-Augmented Generation (RAG) • FastAPI Backend Engineering • NLP & Automation • AI Infrastructure Tech Stack: Python, FastAPI, LangGraph, Pinecone, vLLM, RAGAS, MySQL, REST APIs, Docker, Git Currently exploring scalable multi-agent systems, LLM evaluation workflows, and enterprise AI deployment. Open to: AI Engineering Internships | GenAI Roles | Backend AI Systems | Applied ML Opportunities

Location

Noida

AI stack

antigravity

codex

cursor

github copilot

grok

hugging face

Work experience

Artificial Intelligence Engineer at Afflatus Gravure Pvt. Ltd. (Official), Jan 2026 - Present · 9 mos, Noida, Uttar Pradesh, India, Afflatus | Agentic RAG Systems | FastAPI, LangGraph, vLLM, Pinecone, RAGAS • Built an Agentic orchestration pipeline using LangGraph, reducing token consumption by 30% through context distillation and optimized routing. • Optimized low-latency LLM inference workflows using vLLM, achieving 2.5x faster Time-To-First-Token (TTFT) performance. • Developed automated RAG evaluation pipelines with RAGAS, improving retrieval precision from 68% to 92% across 10K+ enterprise queries. • Integrated vector search and retrieval workflows using Pinecone to support scalable enterprise knowledge querying. • Contributed to production-oriented GenAI infrastructure focused on orchestration reliability, retrieval quality, and inference efficiency.

Digital Systems Engineer at Velcoris Industries, Jul 2025 - Present · 1 yr 3 mos, Greater Noida, Uttar Pradesh, India, Velcoris Industries | Digital Infrastructure & Web Systems • Designed and deployed responsive company web platforms focused on performance, scalability, and user experience. • Managed digital infrastructure operations, including security maintenance, uptime optimization, and deployment updates. • Implemented SEO optimization and analytics tracking workflows to improve traffic visibility and platform performance insights. • Collaborated with design, PR, and technical teams to streamline digital operations and support global expansion initiatives. • Contributed to automation and optimization of internal digital workflows for improved operational efficiency.

Full Stack Engineer at Mawai Infotech Limited, Jan 2025 - Jul 2025 · 7 mos, Noida, Uttar Pradesh, India, Mawai Infotech | ERP Systems | PHP, MySQL, REST APIs • Developed ERP modules using PHP, MySQL, and REST APIs, improving operational workflows for 500+ users. • Designed scalable backend database structures and integrated third-party APIs for inventory and order management systems. • Worked on enterprise-grade deployments alongside senior engineers, contributing to successful production rollouts. • Improved system reliability and workflow efficiency through backend optimization and API-driven automation.

Education

Bachelor of Technology - BTech, computer science engineering, Bennett University

Class XII, CBSE, Apeejay Stya Education (Svran Foundation)

Public links

github: https://github.com/Anshuman0737

leetcode: https://leetcode.com/anshuman737