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Machine Learning Engineer @ Runware
Washakh is a creator on Naano, where companies pay creators to write posts about their product.
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AI Engineer | Generative AI & Diffusion Models | Computer Vision | LLMs & Transformers
AI Engineer (3+ yrs) specializing in Generative AI, Computer Vision, and Applied ML production systems, not notebooks. Built GPU-optimized diffusion image/video/audio/3D generation APIs at Runware, scaling to 300,000+ generations, plus hands-on Transformer/LLM fine-tuning with CUDA-based parallel computing. At Vision RD, built a 98.2%-accuracy PCB inspection model and multi-GPU inference pipelines. Data science background includes time-series forecasting for national power consumption. End-to-end owner: model development → inference optimization → production deployment. Hands-on experience with RAG and MCP-based agentic AI systems. Open to: AI Engineer | Generative AI | Agentic AI roles.
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75% Engineering / Data
From 80 people who reacted to or commented on my posts
Public LinkedIn data · Sep 28, 2026
🎉 Hey everyone, I'm excited to share that I've started a new role as a Computer Vision Engineer at VisionRD! 🚀 Joining this dynamic team, I look forward to contributing my skills and expertise while embracing opportunities for learning and growth. Here's to an exciting journey ahead! 🌟
Delighted to share that I have successfully completed the NVIDIA Generative AI using Diffusion Models course, marking a significant milestone in my journey through the fascinating world of AI and machine learning. This journey has been a deep dive into the mathematics and concepts of image generation through UNet noise prediction and denoising process. I am excited to explore innovative applications and push the boundaries of what's possible in AI innovation. 🌟 #GenerativeAI #DiffusionModels #NVIDIA
🚀 Built a self-hosted, AI-powered job search automation platform Job hunting can become repetitive quickly, constantly checking job boards, opening dozens of listings, evaluating them against your experience, and writing tailored cover letters. So, as a weekend project, I built Job Scraper to automate much of that workflow. 🔍 What it does → Aggregates job listings from multiple sources, on demand or on a schedule → Scores every job against your actual CV using an LLM and a structured scoring rubric, not simple keyword matching → Understands location restrictions a "Remote" job restricted to a specific country gets flagged as a mismatch instead of cluttering your results → Generates tailored cover letters for jobs that meet your score threshold, as a formatted PDF → Found a job somewhere else? Paste the description in and get an instant compatibility score and cover letter 🧠 What's happening under the hood? The interesting part wasn't just adding an LLM to a scraper I built a structured pipeline around it: → Plugin-based scraper architecture for adding new job sources → LLM-based CV/job scoring with structured JSON output → APScheduler for automated scraping and processing → Rate limiting and quota-aware processing → Self-healing scheduling logic for handling pipeline failures → Support for both Gemini and local Ollama models → Async FastAPI + SQLAlchemy backend → Dockerized deployment Everything runs in one Docker container on your own machine. No subscription. No account required. No third party storing your CV. If you're currently job hunting, feel free to give it a try. This is a weekend build rather than a polished product so if you have an idea for a missing feature or want to add another job source, PRs and issues are very welcome. 🔗 GitHub: https://lnkd.in/dPY43kcE #BuildInPublic #OpenSource #AI #Python #JobSearch #GenerativeAI #FastAPI #MachineLearning
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Based on 80 people who reacted to or commented on my posts. Percentages use the profiles that could be classified.
Based on 80 people who reacted to or commented on my posts. Percentages use the profiles that could be classified.
Based on 80 people who reacted to or commented on my posts. Percentages use the profiles that could be classified.
Based on 80 people who reacted to or commented on my posts. Percentages use the profiles that could be classified.
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Washakh Ali is a B2B LinkedIn creator based in Pakistan with 2,031 followers, posting about AI and SaaS. On Naano, one sponsored LinkedIn post by Washakh Ali costs €300, a fixed price per post. Washakh Ali is not taking new bookings right now.
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