---
title: "Anshuman Pandey - Artificial Intelligence Engineer in Noida | Tal"
description: "Meet Anshuman Pandey, B.Tech AI Student @ Bennett University | AI Engineer @ Afflatus | GenAI • RAG • LLMOps • FastAPI • LangGraph based in Noida. AI stack includes antigravity, codex, and cursor. Explore public work links including github and leetcode."
image: "https://tal.club/meet/anshuman-pandey-1/share-image"
---

# Anshuman Pandey on Tal

## 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 &amp; 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 &amp; 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

[View the original profile](https://tal.club/meet/anshuman-pandey-1)

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