Freelancers using Hugging Face

Freelancers using Hugging FaceFreelancers using Hugging Face

Projects People

Lahore, Pakistan

ML AI | Backend | Computer Vision | GenAI | LLM Agents

New to Contra

ML AI | Backend | Computer Vision | GenAI | LLM Agents

Cover image for LakeShield - AI-Powered Video Monitoring

LakeShield - AI-Powered Video Monitoring and Vessel Intelligence Platform I led the development of LakeShield as the Senior AI/ML Engineer and Lead Developer, taking the platform from initial research and experimentation to a scalable production system. My responsibilities included: 🔹 Designing the end-to-end AI and video-processing architecture 🔹 Building YOLO-based boat and vehicle detection pipelines 🔹 Developing object tracking and movement-analysis workflows 🔹 Implementing OCR for extracting boat registration information 🔹 Creating scalable pipelines for processing thousands of surveillance videos 🔹 Developing FastAPI backend services and automated data workflows 🔹 Building a Next.js analytics dashboard integrated with Supabase 🔹 Deploying and operating the AI pipeline on cloud GPU infrastructure 🔹 Optimizing model accuracy, inference speed, infrastructure costs, and reliability 🔹 Managing production monitoring, troubleshooting, maintenance, and continuous improvements The platform transforms raw surveillance footage into structured operational insights, enabling automated vessel monitoring, vehicle activity analysis, registration extraction, and reporting. This project involved complete technical ownership across Computer Vision, AI/ML, backend development, cloud infrastructure, data engineering, MLOps, and production operations. #ComputerVision #VideoAnalytics #ArtificialIntelligence #ObjectDetection #OCR #MLOps #FastAPI #NextJS #Supabase #CloudEngineering

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Cover image for Shelfr - AI-Powered Retail Shelf

Shelfr - AI-Powered Retail Shelf Intelligence Platform I led the development of Shelfr as the Senior Computer Vision Engineer and Lead Developer, taking the platform from the initial idea and system architecture through development, deployment, and production operations. My work included: 🔹 Designing the complete computer vision and backend architecture 🔹 Building product detection, shelf analysis, OCR, and image-processing pipelines 🔹 Developing APIs and scalable data-processing workflows 🔹 Deploying and managing production systems on GCP cloud servers 🔹 Optimizing model accuracy, processing speed, and infrastructure performance 🔹 Managing production monitoring, reliability, troubleshooting, and ongoing improvements 🔹 Leading technical decisions across AI, backend, cloud infrastructure, and DevOps The platform converts real-world retail shelf images into structured product and shelf-level insights, helping automate retail auditing, product visibility analysis, and inventory workflows. #ComputerVision #RetailAI #LeadDeveloper #AIEngineering #GCP #MLOps #Python #CloudEngineering

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Cover image for AI-Powered PDF Data Extraction
My role:

AI-Powered PDF Data Extraction My role: AI Data Processing and Extracton Engineer Organizations often struggle to extract structured and useful information from large volumes of unstructured PDF documents. I developed a flexible AI-powered data extraction solution that allows users to define the specific entities and fields they want to retrieve. The system processes different PDF formats, identifies relevant information, and converts it into structured, usable data. The solution reduces manual document processing, improves retrieval accuracy, and can be adapted to different document types and business requirements. A working demo link is attached.

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Cover image for ⚖️ Built a French Legal

⚖️ Built a French Legal AI Assistant powered by advanced RAG and LLM technology. The system enables users to ask complex legal questions and receive accurate, context-aware answers grounded in French legal documents. Key features include: 🔹 Custom legal document ingestion and chunking 🔹 Metadata-based vector search 🔹 Hybrid retrieval and reranking 🔹 Agentic RAG workflows using LangGraph 🔹 Source-grounded answers with legal references 🔹 Private deployment on an Azure VM using locally hosted LLMs The main focus was improving retrieval accuracy, reducing hallucinations, and making large collections of legal documents easier to search and understand. #LegalAI #RAG #LLM #ArtificialIntelligence #LangGraph #Azure #GenerativeAI #MachineLearning

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Hugging Face(3)

Stephen Kisong'e

Cyber Security Analyst

Cyber Security Analyst

Cover image for Adversarial Data Poisoning Attack on a Network Intrusion AI Mod…

Adversarial Data Poisoning Attack on a Network Intrusion AI Mod…

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2

Cover image for Performed a manual, black-box security

Performed a manual, black-box security assessment of a locally-hosted large language model served through LM Studio, using Burp Suite as the primary testing tool. The engagement began with no prior knowledge beyond a single IP address, mirroring how an external attacker would approach an exposed AI server discovered on a network. Worked through a full discovery-first methodology: confirming the target was live, enumerating the server's exposed endpoints by probing and reading response codes, extracting the loaded model name directly from the API, and proving the expected request format through the server's own error responses rather than assuming it. This reconnaissance phase converted an unknown target into a complete map of its attack surface. With the attack surface established, executed a series of manual techniques through Burp's Repeater and Intruder tools, including prompt injection, system prompt extraction, role and system-message injection, parameter manipulation, error-message disclosure, and authentication testing. Demonstrated additional Burp capabilities relevant to AI systems, including response comparison to prove behavioral changes under attack, randomness testing of server-generated identifiers, and live request tampering to illustrate a man-in-the-middle scenario against AI traffic. Organized all findings into a structured vulnerability map aligned to OWASP LLM risk categories, recording each technique's result, severity, and supporting evidence. Delivered the work as a complete, reproducible, beginner-accessible walkthrough covering environment setup, discovery, exploitation, and reporting.

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107

Cover image for Conducted an automated security assessment

Conducted an automated security assessment of a locally-hosted large language model, Dolphin 3.0 (Llama 3.1 8B), using Garak, NVIDIA's open-source LLM vulnerability scanner. The model was served through LM Studio's OpenAI-compatible REST API and tested from a Parrot OS environment running in VirtualBox. Configured Garak to target the model via a custom REST generator configuration, handling endpoint routing, Bearer token authentication, JSON response parsing, and extended timeouts for local inference. Executed nine distinct probe categories against the model, covering DAN jailbreaks, prompt injection, encoding-based bypass, malware generation, latent injection, real toxicity prompts, continuation attacks, grandma exploits, and package hallucination. The assessment identified that Dolphin 3.0, an uncensored model with no built-in safety guardrails, was vulnerable across the majority of probe categories. Findings were documented per probe, distinguishing where the model resisted versus complied, and translated into a clear, layered explanation of each attack type and its real-world security implications. Delivered the work as a complete, reproducible walkthrough, including environment setup, tool configuration, probe execution, and results interpretation, suitable for both technical practitioners and stakeholders newer to AI security.

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Cover image for AI security research project focused

AI security research project focused on prompt injection risks in LLM-powered applications. The work involved testing how AI systems handle malicious or hidden instructions inside user inputs, documents, webpages, and other untrusted content. The assessment explored risks such as instruction bypass, guardrail failure, data leakage, unsafe tool use, and AI output manipulation. It demonstrated the importance of testing the full AI application, not only the model, especially when connected to files, APIs, RAG systems, browsers, or autonomous agents. Skills demonstrated: AI red teaming, LLM security testing, prompt injection analysis, guardrail evaluation, threat modeling, and secure AI deployment. Tool: Spike

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111

Hugging Face(4)

proElizabeth, USA

Technical Partner for Founders

$25k+: Earned

16x: Hired

4.5: Rating

420: Followers

expert

expert

+3

Technical Partner for Founders

Cover image for CivitAI, AI image generate project

CivitAI, AI image generate project

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150

Cover image for Digital Product Funnel Setup & Automation in Kit/ConvertKit

Digital Product Funnel Setup & Automation in Kit/ConvertKit

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56

Cover image for Here ya go!
I built a

Here ya go! I built a desktop that detects threats Does this look good? Vote and tell me why you chose it, and what you like about it in the comments 😊

2

1.6K

Cover image for Mobile App Backend Stabilization Using Firebase

Mobile App Backend Stabilization Using Firebase

5

178

Hugging Face(1)

proDubai - United Arab Emirates

Fractional AI & Finance Automation Lead | Model Fine-tuning

$10k+: Earned

6x: Hired

5.0: Rating

45: Followers

expert

Fractional AI & Finance Automation Lead | Model Fine-tuning

Cover image for IOS Risk Data Foundry — Domain-Specific Financial Risk AI

IOS Risk Data Foundry — Domain-Specific Financial Risk AI

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Cover image for AI Agents Multimodal Video Pipeline

AI Agents Multimodal Video Pipeline

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10

Cover image for Static Ad Production Studio

Static Ad Production Studio

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4

Cover image for Strategy and Copy Agent: Evidence-to-Creative Direction Pipeline

Strategy and Copy Agent: Evidence-to-Creative Direction Pipeline

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4

Hugging Face(1)

Senior FullStack & AI Engineer | Product-Driven Solutions

$25k+: Earned

7x: Hired

5.0: Rating

25: Followers

Senior FullStack & AI Engineer | Product-Driven Solutions

Cover image for MakeMyQuiz (AI Project)

MakeMyQuiz (AI Project)

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Cover image for Chronicler | An a16z funded Startup

Chronicler | An a16z funded Startup

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Cover image for AuditionAid - AI Career Platform for Actors (Web & Mobile)

AuditionAid - AI Career Platform for Actors (Web & Mobile)

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11

Cover image for Development of Daemora Autonomous AI Agent

Development of Daemora Autonomous AI Agent

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15

Hugging Face(1)

proPhoenix, USA

Visual Content Producer | AI Engineer

$1k+: Earned

2x: Hired

5.0: Rating

18: Followers

Visual Content Producer | AI Engineer

Cover image for Full-stack Development for AI Image Generation Platform

Full-stack Development for AI Image Generation Platform

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Cover image for From Chaos to Clarity

A cinematic

From Chaos to Clarity A cinematic one-take product film exploring the moment when digital overload becomes effortless control. The film begins inside a dense, noisy workspace where notifications, tasks, messages, and overlapping interfaces gradually create a sense of information overload. Rather than matching that chaos with fast cuts, the camera remains deliberately slow and composed. Then everything stops. Silence creates the turning point as the product takes control. The clutter recedes, information reorganizes, and the experience transforms into a calm, focused workspace. Built around real product UI and continuous camera movement, the film uses sound, motion, lighting, and color to tell a simple story: complexity doesn't need more noise - it needs clarity. Created in CapCut Video Studio with Seedance 2.5 as a continuous one-take AI film.

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Cover image for Content Creator - Ongoing

Content Creator - Ongoing

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4

Cover image for Immutable | Promo

Client
Immutable a gaming

Immutable | Promo Client Immutable a gaming platform and infrastructure provider focused on helping game studios launch, scale, and analyze their products. The project was created for Immutable Audience, a data and analytics product designed to help game developers understand user behavior, optimize landing pages, reduce churn, and improve player engagement through actionable insights. Task Create a promotional motion graphics video for a gaming analytics SaaS product, introducing Immutable Audience as a powerful tool for data-driven game launches and user acquisition. The task was to combine UI animation, abstract data visualization, and clean motion graphics to explain how the product helps studios track performance, analyze user funnels, optimize marketing pages, and retain players. The video needed to feel modern, tech-focused, and suitable for product launches and marketing campaigns.

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124

Hugging Face(1)

Lahore, Pakistan

Top Rated Plus Freelancer & Top 1% Talent

$5k+: Earned

2x: Hired

5.0: Rating

17: Followers

Top Rated Plus Freelancer & Top 1% Talent

Cover image for AI Function Calling Agent

AI Function Calling Agent

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13

Cover image for Business Development AI Workflow

Business Development AI Workflow

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8

Cover image for ADHD-Friendly AI Automation Workflows

ADHD-Friendly AI Automation Workflows

3

40

Cover image for Anchor Down - Transport & Logistics Platform

Anchor Down - Transport & Logistics Platform

2

16

Hugging Face(1)

Creative code → Apps ✦ Research ✦ Events

$5k+: Earned

1x: Hired

105: Followers

Expert

Expert

Creative code → Apps ✦ Research ✦ Events

Cover image for Qrave.ai - Artistic QR Code Generator 2022

Qrave.ai - Artistic QR Code Generator 2022

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13

Cover image for Innovative App Template for Selling Physical Products Creati...

I built a way to sell physical products in an app that feels more like a gallery than a shop. 📱 What does it do? It’s a remix-able template for selling physical products inside an app. You browse through pieces in a horizontal carousel, then scroll vertically through a product to explore it through multiple images before buying instantly with Apple Pay. I designed it for galleries and artists first, but it works for anyone selling physical products creators, brands, influencers anything that needs to feel a bit more premium. Why I built this: I kept thinking about how intentional artwork is presented in physical spaces, and how transactional it feels online. This is an attempt to close that gap and making purchases feel as frictionless as possible. Another bonus to why people will use this app is that apple does not tax physical good transactions, so sellers can keep more of what they earn. 🎉 The template remix-potential? Works really well because users can swap in any product and it simply works! Art, jewellery, vinyls, collectibles, anything physical allowed on the app store. This was fun I plan on refining and making more templates so I would appreciate any comments and feedback Build Preview 👀 (https://www.anything.com/mobile-preview/68217499-f987-4843-8bcb-f7864c536abc)Build Link 🔗 (https://www.anything.com/build/aCF0mfmHSEOLy_eGTFNqvA?v=sBZM6bBFQ0CWHu4QlFbZpA)

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Cover image for To mark 122 years of

To mark 122 years of Ford Motors, this Super Bowl advertisement speaks directly to multi-generational audiences who value heritage, perseverance, and the powerful connection between sound and emotion. The story of the horse and carriage draws a parallel between the original Mustang and its modern counterparts, building towards anticipation before the unveiling of the new 2026 Mustang in Spring. The Location: Santa Clara, California played a huge role in the story as this year's Super Bowl is being hosted at the at Levi's Stadium. This made prompting the clothing easier, you'll notice each actor is wearing Denim. 'Horses dont Stop, they keep going' Brand: Mustang SFX: Morphic Images: Morphic Scripting: Morphic Voice: Eleven Labs Final: Premier Pro Each video was generated and sequenced entirely in Morphic *sound on*

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1.9K

Cover image for I think I pushed my limits on this one.. 🛏️ My goal was to ...

I think I pushed my limits on this one.. 🛏️ My goal was to use all the tools in unison and learn how each tool could own a clear layer of the full product experience from code to marketing. Rork developed the app, Suno designed the audio, FLORA defined the visual language, Tolstoy for all the UGC, and Replit brought it online. After Christmas dinner, I sent my first prompt to Rork: “Design a digital members club for Gen-Z + working professionals committed to sleeping earlier in 2026.” The idea came from an old note I wrote after a health & wellness conference in Budapest: 'productivity revolves around a good night’s sleep' - marketing = Maslow's Hierarchy of Sleep (iOS app) ' 😬😂 And so? Pillow FM: A modern sleep experience for overstimulated minds. 'Guided Sleep meditations everyday at 10pm' Shall I continue this app?

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1.2K

Hugging Face(1)