---
title: "Prabhat Saxena - Associate Team Lead in Jaipur | Tal"
description: "Meet Prabhat Saxena, Associate Team Lead | AI Researcher | AWS Certified Database Specialist | iZOOlogic | latenightstack.com based in Jaipur. AI stack includes antigravity, claude code, and langchain. Explore public work links including github and latenightstack.com."
image: "https://tal.club/meet/prabhat-saxena/share-image"
---

# Prabhat Saxena on Tal

## Headline

Associate Team Lead \| AI Researcher \| AWS Certified Database Specialist \| iZOOlogic \| latenightstack\.com

## About

I've built AI monitoring systems at extreme scale \(170B\+ records\), processing 100k\+ records daily and am now researching persistent memory architectures for agentic AI \(NDM\)\.‬

## Location

Jaipur

## AI stack

antigravity

claude code

langchain

langgraph

ChatGPT

HeyGen

## Work experience

Associate Team Lead at iZOOlogic, Sep 2023 \- Present · 3 yrs 2 mos, Built and operated Elasticsearch systems indexing 11T\+ records across 84TB of cyber intelligence data with custom templates, analyzers, tokenizers, lifecycle policies, and optimized search behavior\. Designed investigation workflows across 8T\+ combo records and 600B\+ stealer records enabling low\-latency filtering and investigation pipelines\. Owned end\-to\-end intelligence pipelines contributing roughly 90% of downstream detections and client investigations\. Built scalable Telegram scraper and ingestion workflows expanding daily processing from 100–200 files/day to 2K–5K files/day\. Developed GitHub, Postman, onion\-site, dark web forum, and open bucket monitoring systems for leaked secrets, exposed credentials, and threat intelligence collection\. Built RAG\-based reporting systems using FAISS, embeddings, prompt chaining, and Mistral 7B to summarize campaigns, industries, threat actors, and country\-level intelligence\. Built AI\-assisted analysis pipelines processing approximately 100K cases/day using Docker, Redis, Celery, reusable prompt templates, and local LLM inference\. Designed internal VAPT tooling architecture using FastAPI, Docker, Kubernetes, and Grafana; implemented technology detection and XSS detection services\.

SDE\-II at iZOOlogic, Dec 2023 \- Feb 2026 · 2 yrs 3 mos

SDE at iZOOlogic, Sep 2023 \- Dec 2023 · 4 mos, Jaipur, Rajasthan, India

DevOps Engineer at BBI, Nov 2021 \- Sep 2023 · 1 yr 11 mos, – Orchestrated migrations of on\-premise monolithic applications to distributed AWS architectures \(EC2, HA RDS, S3, CloudFront\), reducing deployment friction and enabling multi\-region failover\. – Reduced average deployment times by 60% via targeted CI/CD automation \(GitHub Actions, Docker image optimization\), enabling faster feature delivery and incident response\. – Designed proactive monitoring dashboards \(Datadog/Prometheus\), alerting strategies, and operational runbooks; maintained > 99\.5% uptime across production infrastructure\.

## Education

Bachelor of Technology, Computer Engineering, Poornima college of engineering

Master of Computer Engineering, Poornima college of engineering

## Public links

- github: https://github\.com/xx\-VIRUS\-xx
- latenightstack\.com: https://latenightstack\.com/

[View the original profile](https://tal.club/meet/prabhat-saxena)

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