You will get a month's worth of progress on your MVP in a day using AI Agents
Top Rated
Top Rated
Project details
If you're tired of working endlessly with engineers and no progress, this project is for YOU.
With the help of AI coding agents, I'll develop your MVP in record time. My promise is:
A MONTH"S WORTH OF PROGRESS IN A DAY
The AI has gotten so good that people who know nothing about coding are vibe coding entire MVPs in weeks using Replit, Lovable and similar. Imagine how fast someone who really knows coding would make you!
That's where I come in: an ENGINEER and an ENTREPRENEUR with over 4 years of experience working actively with YC and Google-backed startups, now running my own. I am the POWERHOUSE you never knew you needed.
I do this for fun and to find great ambitious people like you!
That's it! Feel free to drop me a DM to get started.
Thanks,
Abdullah
With the help of AI coding agents, I'll develop your MVP in record time. My promise is:
A MONTH"S WORTH OF PROGRESS IN A DAY
The AI has gotten so good that people who know nothing about coding are vibe coding entire MVPs in weeks using Replit, Lovable and similar. Imagine how fast someone who really knows coding would make you!
That's where I come in: an ENGINEER and an ENTREPRENEUR with over 4 years of experience working actively with YC and Google-backed startups, now running my own. I am the POWERHOUSE you never knew you needed.
I do this for fun and to find great ambitious people like you!
That's it! Feel free to drop me a DM to get started.
Thanks,
Abdullah
AI Development Type
Deep Learning, Recommendation SystemAI Tools
Amazon SageMaker, Keras, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$3,000
|
Advanced
$4,000
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
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SH
Shafee H.
May 26, 2025
Senior Frontend Dev
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Romeo H.
Jul 21, 2024
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Helped me with in incredibly difficult task and without him not sure where I would be with my project!
LL
Loïc L.
May 29, 2024
Outfit detection prototype
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Shafee H.
Feb 5, 2024
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Excellent developer, very bright.
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Shafee H.
Jan 6, 2024
StyleGAN A.I. Expert
Great work
About Muhammad Abdullah
Senior Computer Vision & ML Consultant | Triton | PyTorch | Postgres
100%
Job Success
Rawalpindi, Pakistan - 3:02 pm local time
𝐍𝐨𝐭𝐜𝐡𝐚 𝐀𝐯𝐞𝐫𝐚𝐠𝐞 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 𝐆𝐮𝐲 😎
I don’t stop at a cool demo. Shipping LootMart (hyper-local marketplace) taught me the full stack around models: clean APIs, rock-solid data contracts, observability, security, and predictable costs. That’s why my CV/ML services behave like products, not science projects.
𝐖𝐡𝐚𝐭 𝐈 𝐀𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐃𝐨
- Computer Vision & Video Analytics (2D/3D): detection (YOLO/DETR), multi-object tracking (ByteTrack/DeepSORT), segmentation (U-Net), OCR/document AI, pose/re-ID, visual search & face/product matching (Siamese + Triplet Loss), point clouds & geometry.
- High-Throughput Inference: NVIDIA Triton (dynamic batching, concurrent models, HTTP/gRPC), TensorRT (FP16), ONNX Runtime; autoscaling containers with health checks and graceful rollouts.
- Robust Ingestion: multi-RTSP pipelines with back-pressure control using OpenCV, FFmpeg, PyAV/decord so frames don’t mysteriously vanish under load.
- MLOps & Services: FastAPI/Flask gateways, worker queues, CI/CD, Docker + Nginx; W&B for experiments; versioned datasets; reproducible training.
- Data & Integrations: Postgres (schema design, RLS, SQL/PLpgSQL), Redis, vector DBs (Milvus/Qdrant), webhook-driven architectures, n8n workflows for ETL/alerts, and MCP (Model Context Protocol) to wire AI tools into your internal systems.
- Selective Full-Stack Glue (when it helps): Next.js app layers, secure webhooks, auth, real-time updates, and crisp dashboards so stakeholders can see impact.
𝐏𝐫𝐨𝐨𝐟 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐮𝐝𝐝𝐢𝐧𝐠 (𝐑𝐞𝐜𝐞𝐧𝐭 𝐖𝐢𝐧𝐬)
1. Triton-backed real-time CCTV analytics across multiple cameras on commodity GPUs (dynamic batching = buttery latency).
2. Visual matching pipelines (Siamese/Triplet) for search/dedupe with rigorous evals and W&B tracking.
3. Heavy research models → ONNX/TensorRT → low-latency services that actually survive production traffic.
4. Production plumbing that lasts: Postgres-first data contracts, webhook fan-out, n8n automations... no brittle glue.
𝐇𝐨𝐰 𝐖𝐞’𝐥𝐥 𝐖𝐨𝐫𝐤 (𝐑𝐎𝐈 𝐅𝐢𝐫𝐬𝐭, 𝐀𝐥𝐰𝐚𝐲𝐬)
1. 30-min discovery → lock in the KPI (latency, accuracy, throughput, cost).
2. Roadmap & estimate → phases, risks, acceptance tests.
3. Build & validate → baselines first, then iterate; measurable deltas each milestone.
4. Handoff & scale → docs, runbooks, and knowledge transfer so your team owns it.
𝐂𝐨𝐫𝐞 𝐒𝐭𝐚𝐜𝐤
Python • PyTorch • TensorRT • ONNX Runtime • NVIDIA Triton • OpenCV • Kornia • FFmpeg • PyAV/decord • Postgres • Redis • Milvus/Qdrant • FastAPI/Flask • Next.js • Docker • Nginx • Weights & Biases • Webhooks • n8n • MCP
𝐀𝐯𝐚𝐢𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲
Consulting/part-time (fractional) engagements: architecture reviews, performance tuning, prototypes, or owning a CV/ML workstream. Top-rated on Upwork. Minimum $100/hr.
If you want production-ready computer vision, real-time video, reliable pipelines, and clear ROI, 𝐥𝐞𝐭’𝐬 𝐭𝐚𝐥𝐤. I’ll map your goal to a pragmatic plan and ship results you can measure.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Abdullah can start the project.
Delivery time starts when Muhammad Abdullah receives requirements from you.
Muhammad Abdullah works on your project following the steps below.
Revisions may occur after the delivery date.
Working on code iterations
I'll spend time from morning till night to get what you need done.