---
title: "Deepankar Singh - AI Inference Engineer in Bengaluru | Tal"
description: "Meet Deepankar Singh, AI Inference Engineer · Applied AI Engineer | LLM Serving & Optimization · vLLM · Quantization based in Bengaluru. AI stack includes claude code, codex, and deepseek. Explore public work links including github."
image: "https://tal.club/meet/deepankar-singh/share-image"
---

# Deepankar Singh on Tal

## Headline

AI Inference Engineer · Applied AI Engineer \| LLM Serving &amp; Optimization · vLLM · Quantization

## About

AI engineer focused on LLM inference systems and production AI products\. I work on LLM serving, optimization, and deployment across Trainium and NVIDIA GPUs\. My main open\-source contribution is AWS Neuron NxDI PR \#173, where I brought up Qwen 3\.6\-27B hybrid \(DeltaNet \+ GQA\) serving on AWS Trainium with custom NKI kernels, hybrid recurrent \+ KV cache, selective FP8, 256K context, and vLLM/OpenAI\-compatible serving\. At Cultus, I build and operate production AI systems: video interview analysis, adaptive learning, RAG\-based assessments, automated grading, structured\-output validation, background jobs, and real\-time AI flows\. I also self\-host Qwen 3\.6 models on NVIDIA GPUs with vLLM, NVFP4 quantization, use\-case\-based routing, and Kubernetes\. I'm currently focused on inference systems \- vLLM, NKI, quantization, KV/prefix caching, TensorRT\-LLM, SGLang \- while keeping AI engineering roles open\. Ramping CUDA/Triton\.

## Location

Bengaluru

## AI stack

claude code

codex

deepseek

hermes agent

hugging face

opencode

## Work experience

AI Inference Engineer at GyanSys Inc\., Sep 2026 \- Present · 1 mo, Bengaluru, Advanced AI Systems \(Client Deployment — Global Semiconductor R&amp;D\) Focusing on distributed LLM serving, inference optimization, and high\-performance GPU infrastructure across enterprise cloud and secure on\-premises environments\.

AI Engineer at Cultus Education &amp; Technology Services, May 2024 \- Present · 2 yrs 4 mos, Bengaluru, Karnataka, India, What I Built: Cultus Skills Center Solo\-architected and developed an AI\-powered education platform from scratch\. Built LLM systems for video interview analysis and adaptive learning\. Key Work: Real time AI Mock\-Video interview analysis system processing 100\+ interviews/week Multi\-stage AI pipeline with structured output validation Complete ownership: architecture — code — deployment — maintenance Self\-hosted LLM inference on NVIDIA GPUs: deployed Qwen 3\.6 models with vLLM, NVFP4 quantization, use\-case\-based routing, and Kubernetes serving\.

Software Engineer at I\-RAY IT SOLUTIONS, Nov 2022 \- Apr 2024 · 1 yr 6 mos, Hyderabad, Telangana, India

Software Engineer at i5 Systems Private Limited, May 2022 \- Aug 2022 · 4 mos, Hyderabad, Telangana, India

## Education

Bachelor of Technology \- BTech, Computer Science, JNTUH College of Engineering Hyderabad

## Public links

- github: https://github\.com/m\-deepankar\-singh

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

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