---
title: "Akshay Gupta - AI Engineer in Bengaluru | Tal"
description: "Meet Akshay Gupta, AI Engineer @AuxoAI | IIT Delhi | JSW based in Bengaluru. AI stack includes anthropic apis, langfuse, and langgraph. Explore public work links including github."
image: "https://tal.club/meet/akshay-gupta-2/share-image"
---

# Akshay Gupta on Tal

## Headline

AI Engineer @AuxoAI \| IIT Delhi \| JSW

## About

I’m an AI Engineer focused on building reliable, production\-ready AI systems across agentic AI, LLM applications, RAG, knowledge graphs, and backend infrastructure\. At AuxoAI, I build production AI systems using LangGraph, Temporal, PostgreSQL, Neo4j, and LLM observability tooling\. I’ve worked on durable agent workflows, 10M\+ row data systems, intent\-routed knowledge graph tools, ontology extraction pipelines, source\-traceable RAG, and end\-to\-end LLM tracing\. Some of my recent work includes reducing redundant agent tool calls by 30% and average query latency from 90s to 52s, reducing failure isolation time from 2 hours to 15 minutes, and onboarding 15\+ domain ontologies with zero code changes\. I also build AI\-focused projects involving email automation and multi\-speaker audio scoring using diarization, ASR, GPT\-4o, Whisper, and Gemini\. I enjoy working at the intersection of AI and engineering—especially making AI systems reliable, observable, scalable, and production\-ready\. My core stack includes Python, SQL, TypeScript, LangGraph, OpenAI, Gemini, FastAPI, GraphQL, Temporal, PostgreSQL, Neo4j, AWS, GCP, and OpenTelemetry\.

## Location

Bengaluru

## AI stack

anthropic apis

langfuse

langgraph

openai

Arize Phoenix

LiteLLM

## Work experience

AI Engineer at AuxoAI, Jul 2025 \- Present · 1 yr 3 mos, Built agent\-based lineage and migration workflows using LangChain on DeerFlow with Langfuse for tracing and evaluation; parsed 30\+ Oracle ODI SQL scripts \(1500\+ lines each\) into column\-level lineage and automated migration of 150\+ Greenplum procedures \(2000\+ lines each\) to Teradata, improving accuracy from 75% to 92% and reducing manual effort\. Built custom ontology\-based knowledge graph pipelines with citation\-aware RAG using Unstructured\.io and Docling; governed rendering, domain grouping, and edge semantics through a single\-source ontology YAML decoupled from transform logic, with consistent source tracking and provenance across vector and graph DBs\. Architected an end\-to\-end data lineage visualization platform — Neo4j graph backend, FastAPI gateway, and D3/Dagre frontend — with hybrid retrieval combining vector search on node embeddings and BFS Cypher expansion, supporting 4 upstream graph producers behind a unified rendering pipeline\. Designed an AgentMiddleware layer intercepting all tool call results to automatically surface output file paths as thread artifacts — including self\-contained Chart\.js HTML companions for JSON outputs — retroactively improving every existing and future agent without requiring changes to agent code\.

Software Engineer Intern at JSW Group, May 2024 \- Jul 2024 · 3 mos, Built an HR chatbot using RAG with Llama3 and LangChain, implementing multi\-source data ingestion and vector embeddings to improve context retrieval and response accuracy\. Deployed and integrated the solution with Darwinbox in collaboration with HR & IT, reducing workload by 50 man\-hours/day; received Letter of Recommendation from Head of IT for contribution\.

Summer intern in IT & Digital Solutions Team at JSW, May 2024 \- Jul 2024 · 3 mos, Mumbai, Maharashtra, India, \- Worked with 25\+ HR professionals to design and deploy an interactive chatbot, improving query resolution and customization \- Incorporated Meta Llama 3\.1 with 8Bn\+ parameters, fine\-tuned using RAG method, and optimized model's performance \- Achieved 87% accuracy, cutting 35\+ man\-hours per month of HR; Resulted in a group\-wide integration of the model Received Letter of Recommendation from Head of IT & Digital Solutions, JSW Mumbai for exemplary work accomplishment

Coordinator at Rendezvous IITD, Aug 2023 \- Oct 2023 · 3 mos, New Delhi, Delhi, India

Analytics Intern at Gayatri, May 2023 \- Jul 2023 · 3 mos, Uttar Pradesh, India, Analyzed & visualized cleaned data to deliver insights, enhancing decision\-making at Gayatri Projects' head office in Hyderabad\.

## Education

Bachelor of Technology, Mechanical Engineering, Indian Institute of Technology, Delhi

## Public links

- github: https://github\.com/BruceWayne4

[View the original profile](https://tal.club/meet/akshay-gupta-2)

```json
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Person",
      "@id": "https://tal.club/meet/akshay-gupta-2#person",
      "name": "Akshay Gupta",
      "url": "https://tal.club/meet/akshay-gupta-2",
      "image": "https://tal.club/meet/akshay-gupta-2/profile-photo.jpg",
      "description": "Meet Akshay Gupta, AI Engineer @AuxoAI | IIT Delhi | JSW based in Bengaluru. AI stack includes anthropic apis, langfuse, and langgraph. Explore public work links including github.",
      "jobTitle": "AI Engineer",
      "worksFor": {
        "@type": "Organization",
        "name": "AuxoAI"
      },
      "hasOccupation": {
        "@type": "Occupation",
        "name": "AI Engineer"
      },
      "homeLocation": {
        "@type": "Place",
        "name": "Bengaluru"
      },
      "alumniOf": [
        {
          "@type": "EducationalOrganization",
          "name": "Indian Institute of Technology, Delhi"
        }
      ],
      "knowsAbout": [
        "anthropic apis",
        "langfuse",
        "langgraph",
        "openai",
        "Arize Phoenix",
        "LiteLLM"
      ],
      "sameAs": [
        "https://github.com/BruceWayne4"
      ],
      "mainEntityOfPage": {
        "@id": "https://tal.club/meet/akshay-gupta-2#webpage"
      }
    },
    {
      "@type": "ProfilePage",
      "@id": "https://tal.club/meet/akshay-gupta-2#webpage",
      "url": "https://tal.club/meet/akshay-gupta-2",
      "name": "Akshay Gupta on Tal",
      "description": "Meet Akshay Gupta, AI Engineer @AuxoAI | IIT Delhi | JSW based in Bengaluru. AI stack includes anthropic apis, langfuse, and langgraph. Explore public work links including github.",
      "dateModified": "2026-09-13T09:08:22.931Z",
      "isPartOf": {
        "@id": "https://tal.club/#website"
      },
      "mainEntity": {
        "@id": "https://tal.club/meet/akshay-gupta-2#person"
      },
      "primaryImageOfPage": {
        "@type": "ImageObject",
        "url": "https://tal.club/meet/akshay-gupta-2/profile-photo.jpg",
        "contentUrl": "https://tal.club/meet/akshay-gupta-2/profile-photo.jpg",
        "caption": "Akshay Gupta profile photo on Tal"
      },
      "inLanguage": "en-IN"
    }
  ]
}
```