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AI infrastructure engineerΒ·LLM inference on GPUΒ·Air-gapped deployments
~/whoami
bash
$ whoami

Sanchit Gupta
AI Infrastructure Engineer @ Neuralix.ai
B.Tech CSE, IIIT Lucknow '25

$ cat what_i_do.txt

I keep large language models running on GPUs
that have no internet connection.

$ ./highlights.sh

β€’ Core engineer on EKAM AI β€” an indigenous Defence
  AI-as-a-Service platform under the MoD iDEX ADITI 2.0
  initiative, launched at the Chanakya Defence Dialogue 2025

β€’ Model serving on vLLM and NVIDIA Triton across GPU nodes
  β€” continuous batching, KV-cache sizing, request scheduling

β€’ Instrumented telemetry, profiled hot paths, tuned async
  execution and caching β†’ cut average API latency by 40%

β€’ Delivery into secure air-gapped and VDI sites, where every
  package and model weight has to be carried in offline
~/infra/request-path
bash
$ cat architecture.txt

                          β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
      client  ───────────▢│   FastAPI gateway  Β·  React    β”‚
                          β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                                           β”‚
                β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
                β–Ό                          β–Ό                          β–Ό
       β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”        β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”        β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
       β”‚  vLLM           β”‚        β”‚  NVIDIA Triton  β”‚        β”‚  Qdrant         β”‚
       β”‚  LLMs Β· SLMs    β”‚        β”‚  OCR Β· VLM      β”‚        β”‚  vector search  β”‚
       β”‚  cont. batching β”‚        β”‚  reranking      β”‚        β”‚  RAG retrieval  β”‚
       β””β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”˜        β””β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”˜        β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                             β–Ό
                    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”        β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
                    β”‚   NVIDIA GPU    │◀──────▢│ Prometheus Β· Grafana     β”‚
                    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜        β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

                  ── no egress Β· no package mirror Β· no second chances ──
~/stack
bash
$ cat stack.txt

serving      vLLM Β· NVIDIA Triton Β· Ollama Β· CUDA
models       LLMs Β· SLMs Β· VLMs Β· OCR Β· embedding Β· reranking
retrieval    Qdrant Β· RAG pipelines
backend      Python Β· FastAPI Β· PostgreSQL Β· Redis Β· C++
platform     Docker Β· Kubernetes Β· Linux Β· NGINX Β· Git
observe      Prometheus Β· Grafana Β· Loki Β· Tempo Β· OpenTelemetry
frontend     React Β· JavaScript

$ ls ~/projects

AI-inference/        self-hosted GPU platform on Kubernetes
url-shortener/       distributed, sub-100ms under load
AgroSmart/           soil and yield prediction, Django + ML
CampusConnect/       MERN admissions portal

$ echo $CONTACT

sanchitguptaghj@gmail.com

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