Advanced Thesis RAG Engine
Production-ready Retrieval-Augmented Generation pipeline featuring semantic chunking, dense vector representations, and hallucination-free contextual generation.
I'm Saeed Aliakbari, a software engineer obsessed with engineering resilient, high-impact systems. My core expertise sits at the intersection of production-grade Retrieval-Augmented Generation (RAG) and high-throughput financial transaction engines with 99.99% reliability. As Co-Founder & Tech Lead at Rayamate, I build modern web platforms, while at Behpardakht Mellat I engineer critical payment architectures and BPM solutions.
Experience Saeed Aliakbari’s RAG expertise firsthand: witness real-time vector embedding, cosine similarity lookup, and grounded context synthesis.
Dense 768-dim semantic projection
Top-1 nearest vector in Chroma DB
Grounded factual chunk retrieval
Final conditioned response generation
At Behpardakht Mellat (the Middle East’s leading PSP), Saeed engineered high-throughput transaction engines handling 10k+ TPS, automated critical enterprise workflows via BPMN, and formulated banking-grade validation protocols.
A decade of battle-tested engineering at the crossroads of low-latency systems, next-gen FinTech, and state-of-the-art AI.
Production systems, RAG data engines, banking protocol validators, and interactive applications built by Saeed Aliakbari.
Production-ready Retrieval-Augmented Generation pipeline featuring semantic chunking, dense vector representations, and hallucination-free contextual generation.
Distributed analytics and enterprise telemetry platform designed for real-time anomaly discovery and automated business metric synthesis.
Cryptographically sound banking utility engine for Iranian IBAN (Sheba) calculation, checksum verification, and bank routing according to interbank protocol standards.
Resilient in-app payment and billing micro-framework with cryptographic signature validation and anti-replay protection.
Autonomous interactive classroom assistant orchestrating automated quiz grading, student Q&A routing, and intelligent announcement broadcasts.
A retro simulation game programmed with custom collision detection physics and procedural urban traffic logic running at a locked 60 FPS.
A decade of high-impact engineering across market-leading payment providers, technology ventures, and academic AI labs.
Architecting scalable web applications, designing modular microservices, and implementing AI-driven intelligence pipelines for high-demand client environments.
Engineering ultra-high throughput payment processing engines handling millions of daily transactions, designing BPMN automated enterprise workflows, and developing validation algorithms.
Conducted in-depth academic research on Retrieval-Augmented Generation, vector embedding similarity, semantic search, and domain-adapted language models.
Mentoring hundreds of emerging developers in Python, algorithms, and AI fundamentals; keynote speaker at specialized computing webinars and tech events.
Ready to architect next-gen RAG pipelines, mission-critical FinTech infrastructure, or scale your software team? Let’s connect.
Direct inbox monitored for engineering & consulting inquiries.
Professional network of 3,000+ technology leaders and engineers.
Open-source thesis RAG models, banking algorithms, and utilities.