t
thebeantheone

Abdullah Sajid

@thebeantheone

AI Automation Engineer building Agents, RAG Chatbots and Full Stack LLM Apps

Pakistan
Anglais
Certaines informations sont présentées en anglais.
À propos de moi
I build AI automations, agents, and RAG chatbots for a living. I run an AI Automations and Systems SaaS Company. Before that I built credit scoring and fraud detection models as an ML intern at Techlogix, and taught data science to government officers in a LUMS-FBR program. I handle the full stack myself: Flutter or web frontend, Django backend, LLM pipelines, GCP deployment. I started out as a designer, so what I ship works well and looks good. Tell me what you want automated and I will map it out.... Plus d’infos

Compétences

t
thebeantheone
Abdullah Sajid
hors ligne • 

Voir mes services

Applications mobiles IA
I will build a custom ai app with rag chat and a production backend
Automatisations et agents
I will build custom business workflow software with ai automation

Portfolio

Expérience professionnelle

Self_Employed

Self Employed

Temps plein • 8 mos

Co-Founder, tyntex

May 2026 - Present3 mos

I run an AI automations and systems SaaS Company that builds working systems for service businesses and B2B teams: lead research and outbound automation, CRM and spreadsheet workflows, inbox follow-up systems, quote and intake handling, and document processing. I use whichever stack holds up best at the client's volume, usually OpenAI or Claude APIs with n8n, Make, Zapier, or plain Python. The job is always the same underneath: take the repetitive manual work off someone's plate and replace it with a system that doesn't drop the ball.

Course Assistant, LUMS x Federal Board of Revenue

Oct 2025 - Jan 20263 mos

Taught data analytics and visualization to Federal Board of Revenue officers in a post-graduate diploma program run under a LUMS-FBR MoU. Ran tutorials on Excel, Python, and machine learning tools, and designed and graded the quizzes and assignments for the course.

Data Science and Machine Learning Intern, Techlogix

Jun 2025 - Aug 20252 mos

Worked with the data science team at Techlogix on real financial datasets. Built credit scoring and fraud detection models with Scikit-Learn and Pandas, ran exploratory analysis with Matplotlib and Seaborn, and tightened up SQL queries to speed up data retrieval. The models fed into credit risk assessment work for banking clients.