Freelancers using CUDA in Gurugram

Freelancers using CUDA in GurugramFreelancers using CUDA in Gurugram

Projects People

proGurugram, India

Founding AI Engineer, Agents, Automation, Cloud, Full-Stack

$1k+: Earned

8x: Hired

4.7: Rating

53: Followers

Founding AI Engineer, Agents, Automation, Cloud, Full-Stack

Cover image for GPU Mining 4 Qubitcoin Custom Build CUDA NVIDIA GPU LINUX UBUNTU

GPU Mining 4 Qubitcoin Custom Build CUDA NVIDIA GPU LINUX UBUNTU

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Cover image for WooCommerce to Shopify Migration & Custom Shopify Development

WooCommerce to Shopify Migration & Custom Shopify Development

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Cover image for Dynamic Survey Reporting & Automation

Dynamic Survey Reporting & Automation

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Cover image for InvestorLift to Airtable Scraper (Chrome Extension)

InvestorLift to Airtable Scraper (Chrome Extension)

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New Delhi, India

AI/ML Engineer | Building LLM, Agentic AI & ML System

AI/ML Engineer | Building LLM, Agentic AI & ML System

Cover image for A modern AI infrastructure tool

A modern AI infrastructure tool that estimates GPU VRAM requirements for LLM inference, fine-tuning, and quantization. It helps ML engineers configure a model workload, understand where memory is consumed, and identify suitable GPU hardware before deployment.

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Cover image for The Great AI ROI Lie Nobody in wants to Say Out Loud

The Great AI ROI Lie Nobody in wants to Say Out Loud

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Cover image for Jarvis CLI is a Python-based

Jarvis CLI is a Python-based voice assistant for Windows that enables hands-free desktop interaction through voice commands and an animated graphical interface. The assistant listens for a wake word, interprets spoken requests, and performs practical actions such as launching local applications, opening websites, searching Google or YouTube, playing media, retrieving the current time, and handling basic system commands. The project uses a modular architecture that separates speech processing, text-to-speech, command routing, desktop actions, and the GUI layer. It includes an animated orb interface that visually represents assistant states such as idle, listening, speaking, and code-generation activity. The voice and conversational pipeline was further explored with Google Gemini integration for transcription and AI-generated responses, while the project also contains local speech-recognition work based on Vosk. I designed and developed the assistant’s voice-command workflow, desktop automation capabilities, modular Python architecture, animated GUI, speech-processing integration, command normalization logic, and Gemini-powered conversational enhancements. The project demonstrates practical work in voice interfaces, AI assistant design, desktop automation, and human-friendly interaction flows.

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Cover image for SuperAgent is a multi-agent orchestration

SuperAgent is a multi-agent orchestration system built to automate complex, multi-step workflows across research, planning, coding, and general problem-solving tasks. The platform uses a hierarchical Hub-and-Spoke architecture powered by LangGraph and Google Gemini. A central Supervisor agent interprets the user’s goal, breaks the task into smaller steps, and routes work to specialized agents based on capability. The system includes a Coder Agent with isolated local code execution, a Generalist Agent for research and ideation, and persistent shared state to maintain context across agent handoffs. A React-based management dashboard provides visibility into agent activity, workflow progress, and approval-required actions. Safety is a core part of the design. SuperAgent applies iteration limits to control runaway execution and requires human approval before sensitive code execution steps proceed. The code-execution workspace is isolated through Docker-based containerization. I designed and developed the agent architecture, orchestration flow, safety model, code-execution environment, persistent context layer, backend services, and management dashboard.

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