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Syed Hashim

@s_hash_

I build AI chatbots, computer vision and ML systems that run in production

Paquistão
Inglês, Urdu, Hindi
Algumas informações são exibidas no idioma inglês.
Sobre mim
I build AI systems that run in production, not demos. Since 2022 I have delivered RAG chatbots, computer vision pipelines, ML APIs and document extraction for clients in construction, healthcare and finance. One live system monitors 50 camera streams for safety compliance across Saudi Arabia and Bahrain. What I do: RAG chatbots with GPT and LangChain, real time object detection with YOLOv8, ML deployment with FastAPI, OCR and document extraction, n8n automation. You get clean code, clear docs and a working handoff. Message me and I will reply within the hour.... Saiba mais

Habilidades

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Syed Hashim
offline • 

Conheça meus serviços

Aplicações Web Full Stack
I will build a custom ai web app, saas platform or admin dashboard
A partir deUS$ 150 /projetoMais detalhes
Machine learning
I will build a real time object detection and tracking system with yolov8
A partir deUS$ 90 /projetoMais detalhes

Portfólio

Experiência profissional

Upwork

Freelance AI & Backend Engineer

Upwork • Freelance

Jan 2024 - Present • 2 yrs 9 mos

I deliver end-to-end AI solutions and backend systems for clients worldwide. Key projects include: PPE and Safety Monitoring System: Built a multi-camera computer vision pipeline for real-time safety compliance detection using YOLO, GPU acceleration, and FastAPI. Delivered live alerts to dashboards with multi-object tracking and structured logging. Student Performance Predictor: Developed a predictive ML model with Random Forest and deployed it via FastAPI as a REST API with validation and structured responses. Real-Time Landslide Alert System: Designed ML ensembles (Random Forest + LSTM) for risk prediction, integrating satellite data, weather APIs, and dashboards for real-time alerts. Optimized AI models for low-latency production deployment and scalable API usage. Delivered custom AI solutions connecting ML models to dashboards, mobile apps, and client systems efficiently.

Machine Learning Intern

IMARAT Group of Companies • Período integral

Aug 2025 - Sep 2025 • 1 mo

Deep learning and diffusion model work during an on site internship. Led the move from Graph2Plan to GSDiff, a DDPM based diffusion model for automated architectural floor plan generation on the RPlan dataset, with inference deployed through FastAPI endpoints. Designed, trained and benchmarked ANN, CNN and RNN architectures with systematic hyperparameter tuning.