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Prabhat Saxena

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

Jaipur

5+ years of work experience

iZOOlogic
Sep 20233 yrs 2 mosPresent

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.
iZOOlogic
Dec 20232 yrs 3 mosFeb 2026

iZOOlogic
Sep 20234 mosDec 2023

Jaipur, Rajasthan, India

BBI
Nov 20211 yr 11 mosSep 2023

– 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.
GitHub
@xx-VIRUS-xx
Personal portfoliolatenightstack.com

Prabhat’s AI Stack

antigravity
antigravity
claude code
claude code
langchain
langchain
langgraph
langgraph
ChatGPT
ChatGPT
HeyGen
HeyGen

Education

Poornima college of engineering

Bachelor of Technology, Computer Engineering

Poornima college of engineering

20174 yrs2021
Poornima college of engineering

Master of Computer Engineering

Poornima college of engineering

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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/