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John L's avatar
John L
Matteson, USA
Distributed AI | Soverign AI | Local First
Distributed AI | Soverign AI | Local First
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BenevolentJoker-JohnL/Sheppard
0
5
Cover image for The Human Matrix: Break the System
The Human Matrix: Break the System
0
3
Cover image for BenevolentJoker-JohnL/FlockParser
BenevolentJoker-JohnL/FlockParser
0
2
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Ollama(3)
Usama Idrees's avatar
Usama Idrees
pro
Islamabad, Pakistan
Strategic Cloud/DevOps/AI/ML Consulting. Flawless Execution.
$5k+
Earned
11x
Hired
5.0
Rating
28
Followers
Strategic Cloud/DevOps/AI/ML Consulting. Flawless Execution.
Cover image for I’m Usama Idrees, IT &
I’m Usama Idrees, IT & AI Specialist based in Islamabad, Pakistan. Thrilled to be part of this amazing community and to connect with talented Professionals from around the world! 🚀 A little about me: What I do: I lead tech and product strategy, focusing on building innovative solutions that empower businesses and individuals. Passion: Creativity meets technology — I love turning ideas into impactful products. Looking for: Collaborations with designers, developers, and creative minds who want to build something extraordinary. Excited to learn, share, and grow together here. If you’re working on something cool or looking for a tech partner, let’s connect! 💡 What’s your current creative project? Drop it below — I’d love to check it out. 👇
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30
283
Cover image for IT/AI Infrastructure Support
$501 earned
IT/AI Infrastructure Support
2
9
Cover image for Email Ticketing System Optimization with Trello + SendBoard
$750 earned
Email Ticketing System Optimization with Trello + SendBoard
2
41
Cover image for Full-Stack SEO Framework for B2B SaaS Company
Full-Stack SEO Framework for B2B SaaS Company
1
11
Ollama(1)
Tim Green's avatar
Tim Green
pro
Nelson BB9, UK
Principal Engineer, PHP Backend specialist, Article Writer
6
Followers
Principal Engineer, PHP Backend specialist, Article Writer
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Ollama MCP Server Development
0
1
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https://github.com/rawveg/ollama-mcp
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49
Cover image for Another Indie Author project, completely
Another Indie Author project, completely different vibe for Millie Bramley. Cosy Mystery author with a very definite vision for what she wanted, but with a minimal budget. Death & Sourdough (https://www.amazon.com/stores/Millie-Bramley/author/B0GMK7DZ9Y) is a great premise and she's got such a refreshing attitude. Basic Author website, automations to pull in book data for minimal administrative overhead, MailerLite integration for newsletters. A real pleasure. https://www.milliebramley.co.uk
1
3
58
Cover image for Indie Author Website on a
Indie Author Website on a budget for August Mae (https://www.augustmae.co.uk) to coincide with the launch of his Tides of Tomorrow Novella Series (https://www.amazon.com/stores/August-Mae/author/B0GKYFLPTN). I love working with Indie authors who know what they want, but have tight budget constraints. In this case I added full mailing list management, automated parsing of his book data to minimise administrative overhead. https://www.augustmae.co.uk
7
4
107
Ollama(2)
Grey Newell's avatar
Grey Newell
Atlanta, USA
Expert AWS consulting, AI solutions, and machine learning.
$100k+
Earned
1x
Hired
9
Followers
Expert AWS consulting, AI solutions, and machine learning.
Cover image for musegpt: Local LLMs in your Digital Audio Workstation!
musegpt: Local LLMs in your Digital Audio Workstation!
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13
Cover image for Event-Driven Resilience & Invoice Processing at Scale
Event-Driven Resilience & Invoice Processing at Scale
1
32
Cover image for Schema-Driven Astro Starter Kit Development
Schema-Driven Astro Starter Kit Development
0
14
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Ollama(1)
Anurag Nagare's avatar
Anurag Nagare
Mumbai, India
I’m an AI & Machine Learning engineer with expertise in deve
New to Contra
I’m an AI & Machine Learning engineer with expertise in deve
Cover image for It all started on a
It all started on a Sunday at the AWS User Group Mumbai meetup. I wasn't expecting to walk away with a new obsession, but then the speaker introduced me to Temporal and everything changed. Temporal is a durable execution engine that solves one of the hardest problems in agentic AI what happens when your LLM workflow crashes mid-run? Normally you lose everything So I went home and built this: an agent that monitors your competitors around the clock tracking pricing changes, product launches, hiring signals, and strategic moves. Every 24 hours it uses Mistral (running fully on-device via Ollama) to analyze the data and synthesize a structured executive briefing delivered straight to your inbox. Sometimes the best projects start with a Sunday conversation. https://github.com/AnuragNagare/Agentic-AI-.git
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7
Cover image for HybridAlpha (Hybrid RAG) : One tool
HybridAlpha (Hybrid RAG) : One tool digs into actual SEC filings, not just static documents. From EDGAR, it grabs 10, Ks and 10, Qs fresh each time. Sections like MD&A or Risk Factors get split out by name during parsing. Storage happens two ways at once: words go to ChromaDB, numbers land in SQLite. When a question arrives, the router decides, tone, driven, number, heavy, or both. Depending on that choice, the query moves to one place, sometimes both. Context flows forward only after sorting is done. Answers come from Llama 3.3 70B via Groq, always tagged with sources. Each output ties back to where the data lived. Start by asking, What risks did Apple highlight regarding AI rivals? Out comes exact quotes pulled straight from official documents.
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19
Cover image for A Neural Network Visualization
A Neural Network Visualization Tool that demystifies AI! I built an interactive web application using Flask and PyTorch that doesn't just recognize handwritten digits it shows you exactly how the AI "thinks." When you draw a digit (0-9) on the canvas, the app processes it through a Convolutional Neural Network and generates a real-time visualization of every layer: from edge detection in the first convolutional layer, through pattern recognition, pooling, and feature extraction, all the way to the final classification. The tech stack includes Python, Flask, PyTorch, and vanilla JavaScript for the frontend. What makes this unique is the educational aspect each layer's activations are visualized using matplotlib, showing the 32 filters in Conv Layer 1, the 64 filters in Conv Layer 2, and the 128-neuron fully connected layer.
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Cover image for SLM vs LLM for startups SLMs​‍​‌‍​‍‌​‍​‌‍​‍‌​‍​‌‍​‍‌​‍​‌‍​‍‌...
SLM vs LLM for startups SLMs​‍​‌‍​‍‌​‍​‌‍​‍‌​‍​‌‍​‍‌​‍​‌‍​‍‌ (1B–3B parameters) are becoming a kind of cheat code for startups: they can be run with a single GPU or even a powerful CPU, data can remain on your own infrastructure, and you still get almost LLM quality for very targeted tasks like support bots, internal search, or document workflows. In numerous benchmarks, contemporary SLMs are only a few F1 points behind bigger models while being up to 10–300x cheaper per request to serve. Huge​‍​‌‍​‍‌​‍​‌‍​‍‌ language models (between 50 billion and 70 billion+ parameters) are still the preferred option when we talk about complex multi-step reasoning, long contexts, and highly open-ended generation. Nevertheless, the vast majority of startup scenarios do not need such models for every single request.
0
20
Ollama(1)
crystal zhu's avatar
crystal zhu
Hong Kong
Backend Engineer | Workflow, Architecture & API Integration
New to Contra
Backend Engineer | Workflow, Architecture & API Integration
Cover image for AI-Assisted Decision Workflow for Reliable Operations
AI-Assisted Decision Workflow for Reliable Operations
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4
Cover image for Payment Lifecycle Integration Backend
Payment Lifecycle Integration Backend
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0
Cover image for Explainable Decision Engine for Rule-Driven Systems
Explainable Decision Engine for Rule-Driven Systems
0
0
Cover image for Document Workflow Core – Lifecycle & Audit Backend Demo
Document Workflow Core – Lifecycle & Audit Backend Demo
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2
Ollama(1)
Fariha Muazzam's avatar
Fariha Muazzam
pro
Lahore, Pakistan
I build production-ready AI systems that actually ship
New to Contra
I build production-ready AI systems that actually ship
Cover image for This project showcases a working
This project showcases a working prototype of a Legal AI Risk Analyzer built using Retrieval-Augmented Generation (RAG), FAISS vector search, and a local Llama3 model. The system ingests contract documents, breaks them into contextual clauses, retrieves semantically similar clauses from a vector database, and uses the LLM to assess risk levels, reasoning, and recommendations. Designed entirely for local deployment, it ensures data privacy while demonstrating how enterprise teams can analyze legal and compliance risks without exposing sensitive content to external APIs.
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155
Cover image for AI-based Video Generation Pipeline
AI-based Video Generation Pipeline
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1
Cover image for I designed and delivered an
I designed and delivered an end-to-end MVP for a real-time AI talking avatar system, where live browser speech is converted into an AI-generated response and rendered through a lip-synced avatar video on GPU hardware. The objective was to validate technical feasibility, latency characteristics, and perceived real-time interaction before committing to production hardening. The system integrates speech-to-text, LLM-based reasoning, text-to-speech, and video synthesis into a single, runnable pipeline, deployed on an A100 GPU.
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243
Cover image for At Formulatrix, I led the
At Formulatrix, I led the development of a computer vision pipeline for RockMaker, a biotech product used in crystallization experiments. I built and deployed object detection and image classification models that improved scoring accuracy by 13%, reducing manual effort for scientists and increasing customer satisfaction. The solution was productionized with Docker and CI/CD pipelines, ensuring scalability and reliability across client sites.
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206
Ollama(1)