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sayyamshahba296

Sayyam Shahbaz

@sayyamshahba296

AI Engineer, Python Automation, Computer Vision

Pakistan
Anglais
Certaines informations sont présentées en anglais.
À propos de moi
I'm Sayyam Shahbaz, a certified AI & Software Engineer (IBM, Microsoft, Imperial College London). I bridge the gap between machine learning and business operations, building automated workflows and AI-powered apps. My Stack: AI: RAG, Local LLMs (Ollama/DeepSeek), Vector DBs Automation: Python, Meta/Google APIs Vision: OpenCV, YOLO, MediaPipe Mobile ML: Android (Kotlin), TF Lite, PyTorch Whether you need a secure AI agent, computer vision tracker, or on-device ML model, let's turn your idea into reality!... Plus d’infos

Compétences

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sayyamshahba296
Sayyam Shahbaz
hors ligne • 

Voir mes services

Intégrations IA
I will build custom ai agent and local rag pipeline in python

Portfolio

Expérience professionnelle

Self_Employed

Self Employed

Temps partiel • 3 yrs

Founding Developer (NOUNFORM) Diet Plan Bot

Apr 2025 - Present • 1 yr 6 mos

I architected and developed a comprehensive, modular Python desktop platform designed to fully automate gym client intake, data validation, and AI-generated diet planning. This enterprise-grade system replaced manual data entry with a highly resilient workflow capable of handling complex dietary calculations and automated PDF report creation. Key Engineering Achievements: • Hybrid AI Inference Engine: I built a robust, multi-model AI architecture utilizing a locally-hosted Llama 3.1 model to generate highly personalized diet plans. To ensure maximum uptime, I engineered an automatic failover sequence routing to the Grok API, guaranteeing uninterrupted plan generation even during offline or network-degraded conditions. • Automated Real-Time Pipelines: Engineered a seamless data intake pipeline that synchronizes client submissions between Google Forms and Google Sheets via a custom 5-minute Google Apps Script cron job. • Intelligent Data Validation: Developed a custom validation module that automatically detects and corrects client data-entry typos before the AI processes the information. • Advanced Meal-Timeline Logic: Designed a deterministic, rules-based safety-override module paired with a dynamic meal-timeline engine. This algorithm precisely calculates personalized meal cascades based on each client's specific wake, workout, and sleep schedules.

Founding Developer (NOUNFORM) Workout Plan Bot

Apr 2025 - Present • 1 yr 6 mos

I engineered and deployed a serverless, automated Workout Plan Bot designed to streamline gym client onboarding and program delivery. This system completely automates the generation and distribution of highly customized fitness routines directly to clients' phones. Key Engineering Achievements: • Constraint-Based Logic Engine: Built a sheet-triggered system that automatically generates weekly workout splits based on client intake data. The engine incorporates complex fitness logic, including goal-driven muscle rotation, targeted abs/forearm frequency, and optimized rest-day scheduling. • Automated Data Intake: Leveraged Google Apps Script to process, structure, and validate client data immediately upon submission via Google Forms. • WhatsApp API Integration: Integrated the Meta WhatsApp Business API (Graph API) to instantly deliver personalized workout plans directly to clients' WhatsApp accounts. • Data Normalization & Live Tracking: Engineered a phone-number normalization protocol to ensure high message delivery success rates. Additionally, I built an automated delivery-status tracking system that writes message delivery logs back to the central Google Sheet in real time