Shiven Saini

Co-Founder

Rohtak, Haryana, India9 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in AI/ML and robotics engineering.
Founded an AI research lab focused on automation.
Developed innovative solutions for real-world problems.

Stackforce AI infers this person is a Robotics and AI specialist with a focus on software and hardware integration.

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Skills

Core Skills

Artificial Intelligence (ai)Machine LearningRobotics EngineeringSoftware DevelopmentNetwork Programming

Other Skills

PyTorchTransformer ModelsvlaReinforcement LearningImitation LearningC++Windows Software DevelopmentC++17Qt6FastAPIAWS EC2RTSP ProtocolWindows Driver DevelopmentAmazon EC2Red Hat Enterprise Linux (RHEL)

About

I am a passionate engineer working at the intersection of hardware systems, software engineering, and artificial intelligence. My expertise spans CUDA, AI/ML, and LangChain, with hands-on experience in robotics, GPU-accelerated computing, and scalable AI infrastructure. I specialize in designing end-to-end systems, from embedded electronics and low-level system programming to full-stack, cloud-native AI applications. With a strong multidisciplinary foundation in electronics, operating systems, and modern AI frameworks, I focus on turning complex ideas into reliable, production-ready solutions. My project experience includes autonomous robotics and drone systems, high-performance Linux environments, and intelligent mobile interfaces. I am equally comfortable working close to hardware or architecting large-scale software systems, consistently bridging multiple domains to maximize performance and impact. Driven by curiosity and a commitment to meaningful innovation, I actively explore emerging technologies to build transformative products and platforms that solve real-world problems.

Experience

9 mos

Total Experience

7 mos

Average Tenure

9 mos

Current Experience

Stringly.ai

Back End Developer

Dec 2025 – Present · 5 mos · Bengaluru, Karnataka, India · Remote

Shenzen robora automatic robots ltd enterprise

Robotics Engineer

Sep 2025 – Dec 2025 · 3 mos · Remote

Currently working on the development of a VLA Fine-tuning Framework, designed to bridge the real gap between robotics research, simulation environment and practical deployment.
1. Architecting a modular robotics tech stack powered by ROS2, ensuring scalability and adaptability across diverse robotic morphologies.
2. Developing a VLA Fine-tuning framework that enables fine-tuning of VLA Models: SmolVLA, Pi0, Pi0.5, GrootN1.5 for new morphologies/DOFs & tasks.
3. Leveraging Reinforcement Learning and Imitation Learning in high-fidelity simulation environments like Pybullet & Mujoco to enable safer, more efficient training pipelines before real-world execution.
https://github.com/RoboraDev/VLA_Module/
https://github.com/RoboraDev/Vision_Modules/
This work aims to push forward the boundaries of how Vision-Language-Action models can be applied in real-world modularized robotics - from simulation to deployment.

vlaPyTorchRobotics EngineeringArtificial Intelligence (AI)

Naut labs

Founder

Aug 2025 – Present · 9 mos · New Delhi, Delhi, India · On-site

Founded Naut Labs, an AI Research Lab focused on innovative model architectures for next-gen automation products.
Spearheaded research initiatives to enhance hardware efficiency in AI applications, resulting in significant performance improvements.
Collaborated with a diverse team to develop cutting-edge algorithms that push the boundaries of automation technology.

PyTorchTransformer ModelsArtificial Intelligence (AI)Machine Learning

Uniconverge technologies

AI/ML Software Engineer Intern

Jul 2025 – Sep 2025 · 2 mos · Noida, Uttar Pradesh, India · On-site

During my internship, I architected and developed a full-stack C++17/Qt6 windows software for seamless IP camera RTSP port forwarding, complemented by a robust backend built in FastAPI. The project enabled dynamic stream redirection from network cameras to local ports with automatic port assignment and multi-camera support, featuring modular components for camera metadata, stream orchestration, and TCP tunneling.
Key Achievements:
Engineered a cross-platform RTSP port forwarding application with modern C++17/Qt6, delivering automatic port allocation, multi-camera orchestration, and a modular architecture.
Built scalable backend and networking modules including a TCP PortForwarder, CameraManager, Windows service integration, and a FastAPI-powered configuration API enabling real-time control and RESTful remote management.
Designed and implemented a responsive QtWidgets GUI with system tray support for live status, notifications, and monitoring, ensuring user-friendly control.
Established robust logging, automated deployment workflows, and cross-platform builds with CMake while enforcing RAII safety and comprehensive error handling.
Ensured high network performance and maintainability, with clean architecture and long-term diagnostic capabilities.
Technologies Used:
C++17, Qt6, FastAPI, AWS EC2, WireGuard VPN, RTSP Protocol, Network Programming, CMake
This internship project reflects my proficiency in delivering production-grade, cross-platform full-stack solutions, combining advanced C++/Qt engineering for system-level tasks with cloud-native FastAPI backend development for scalable APIs and remote operations.