# Ved parkash Soubhari

Ved parkash Soubhari is a remote worker on Himalayas, React Internship at Celebal Technologies, based in India.

Source: https://himalayas.app/@vedparkashsoubhari

```text
AI-focused developer building efficient LLM and networking systems with production-ready tooling.
```

| Detail | Value |
| --- | --- |
| Availability | Open to opportunities |
| Location | India |
| Authorized to work in | India |
| Job categories | & AI, React, NLP, Machine Learning, Network Security Engineering, Fullstack Development, AI Machine Learning, AI And Machine Learning, Inteligência Artificial, Machine Learning And Artificial Intelligence, AI |
| Skills | C, JavaScript, Python, SQL, Machine Learning, NLP, PyTorch, Transformers, Hugging Face, Linux, POSIX, Multithreading, Socket Programming, TCP IP, CUDA, fastAPI, Streamlit, React, Git, Docker, CMake, PCAP, REST APIs, GitHub, MongoDB, Netlify, SAFe, Vercel, LLamacpp, NodeJS |

## What I'm looking for

```text
I’m looking for an entry-level role where I can build AI-powered systems—especially LLM inference and applied NLP—while contributing to fast, reliable engineering with strong backend/API integration and measurable performance improvements.
```

## About

```text
I’m pursuing M.Tech (AI) at the Indian Institute of Technology, Patna, and I build systems that turn models into usable products. My work centers on performance, concurrency, and practical integration across inference, APIs, and user interfaces.

In my recent projects, I built a multithreaded LLM inference runtime for efficient local AI serving. I implemented a thread-safe request queue, HTTP server, and FCFS/Priority/SJF scheduling, plus dynamic batching and an LRU KV cache for concurrent inference using C++17 and CUDA, integrated with FastAPI and Streamlit via llama.cpp.

I also developed a Deep Packet Inspection engine from PCAP captures by extracting connection metadata and implementing TLS SNI extraction for application identification in encrypted HTTPS traffic. Earlier, I completed a React internship (reusable UI components, REST API integration, state management) and a MERN full-stack training with authentication, routing, and deployment on Netlify and Vercel.
```

## Experience

### React Internship

Celebal Technologies. May 2023 - Jul 2023

```text
Worked on frontend development using React.js, building reusable UI components and integrating REST APIs. Collaborated in an agile environment using Git and improved application performance through state management.
```

Skills: React, REST-APIs, Frontend-Development, UI-Components, State-Management, Git, Agile

### Full Stack Development Training

Learn and Build. Jun 2022 - Aug 2022

```text
Completed structured training in MERN stack, building full-stack applications with authentication, routing, and database integration. Deployed projects on Netlify and Vercel and used Git for version control.
```

Skills: MongoDB, React, MERN-Stack, Authentication, Routing, Database-Integration, Netlify, Vercel, Git

## Education

### Indian Institute of Technology, Patna

Master of Technology (M.Tech.), Artificial Intelligence. 2025 - Present. Grade: 8.3

```text
Pursuing an M.Tech. in Artificial Intelligence at IIT Patna (CGPA 8.3).
```

### Anand International College of Engineering, Jaipur

Bachelor of Technology (B.Tech.), Computer Science and Engineering. 2020 - 2024. Grade: 8.74

```text
Completed a B.Tech. in Computer Science and Engineering (CGPA 8.74).
```

### HBSE Board

Senior Secondary (HBSE), Higher Secondary Education. 2020 - Present. Grade: 82.0%

```text
Completed Senior Secondary education under the HBSE Board (82.0%).
```

### HBSE Board

Secondary (HBSE), Secondary Education. 2018 - Present. Grade: 85.4%

```text
Completed Secondary education under the HBSE Board (85.4%).
```

## Tech stack

- GitHub
- MongoDB
- Gmail
- Node.js
- CMake
- JavaScript
- PyTorch
- Streamlit
- FastAPI
- Linux
- Vercel
- Netlify
- CUDA
- SQL
- Hugging Face
- Llama.cpp
- Dynamic
- Remote
- SAFe

To contact Ved parkash, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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