# faras siddiqui

faras siddiqui is a remote worker on Himalayas, Founding Engineer at CVision, based in Pakistan.

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

```text
ML engineer at CVision building hardware-aware AI runtimes and a neuromorphic compiler delivered six months early.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | Pakistan |
| Authorized to work in | Pakistan |
| Salary expectations | 55k+ USD |
| Job categories | Machine Learning Engineer, AI Systems Engineer, Founding Engineer |
| Skills | LLM Inference, LLM Serving, GPU Cluster Scheduling, VLLM, KV Cache Optimizations, GPU Allocation, GPU Autoscaling, Model Evaluation, Model Routing, Model Compilation, Neuromorphic Computing, FPGA Development, Flash Attention, NEON, PyTorch |
| Website | https://siddiquifaras.github.io |
| LinkedIn | https://linkedin.com/in/muhammad-faras-siddiqui |
| GitHub | https://github.com/siddiquifaras |

## About

```text
At CVision, I built TALON’s compile path for Type 1 Compute, including graph partitioning across neuromorphic cores, placement and routing, CPU simulation, and latency and energy profiling. I also delivered an hls4ml FPGA backend about six months ahead of schedule.

At Noah Labs, I built GPU-cluster scheduling and vLLM inference orchestration for an AI coding IDE piloted with Lockheed Martin and Pegasus Airlines. I moved agent workloads from commercial APIs to open-weight models on NVIDIA GPUs, with task-aware evaluation and routing and autoscaling from one GPU to the full cluster.
```

## Experience

### Founding Engineer (current)

CVision. Feb 2025 - Present

```text
Built the TALON compile path for Type 1 Compute, including graph partitioning, core placement, and FPGA backend. Delivered production AI systems for industrial and SME partners, generating $150K+ in first-year revenue.
```

Skills: Model-To-Hardware-Compiler, Neuromorphic-Computing, Hls4ml, FPGA, Python, PyTorch, CI-CD, Docker, Kubernetes

### AI Systems Engineer

Noah Labs. Feb 2026 - Oct 2026

```text
Built GPU-cluster scheduling and inference orchestration with vLLM across NVIDIA A100, H100, GH200, and B200. Moved agent workloads off Anthropic and OpenAI APIs onto open-weight models, reducing costs by 50-65%.
```

Skills: VLLM, GPU-Cluster-Scheduling, KV-Caching, Model-Evaluation, Routing, A100, NVIDIA-H100, GH200, NVIDIA-B200, AutoScaling, Cost-Optimization

### Deep Learning Research Intern

Optical Networks and Technologies Lab, NUST. Jun 2024 - Sep 2024

```text
Implemented and trained transformer and GAN models for optical-signal classification and anomaly detection. Explored attention mechanisms and evaluated performance on optical-network data.
```

Skills: Transformers, Gan, PyTorch, Optical-Signal-Processing, Anomaly-Detection

## Education

### National University of Sciences and Technology (NUST)

Bachelor of Engineering, Software Engineering. 2021 - 2025

```text
Pursued a Bachelor of Engineering in Software Engineering, focusing on software development and engineering principles.
```

## Tech stack

- Kubernetes
- NumPy
- PostgreSQL
- JavaScript
- Python
- C++
- PyTorch
- FastAPI
- OpenTelemetry
- Transformers
- Linux
- gRPC
- TypeScript
- Docker
- SQL
- Neon
- vLLM
- Bash
- AWS
- Azure

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

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