Hamasurrehman

AI Software Engineer

MyAlfred • Período integral

Oct 2023 - Present • 2 yrs 7 mos

Instant Alfred (Flagship AI Ecosystem): Developed an omni-channel AI assistant (Web, Email, WhatsApp) for Car, Health, Bike, and Cyber insurance. Implemented Model Context Protocol (MCP) for secure MongoDB access and engineered Human-in-the-Loop (HITL) escalation for seamless policy discussions. LLM Engineering & Optimization: Architected sophisticated reasoning frameworks for GPT-4-Turbo and AWS Bedrock using Chain-of-Thought (CoT), Tree-of-Thoughts (ToT), and N-Shot training to ensure high-accuracy insurance consultations. Voice AI & Telephony: Integrated a real-time Voice AI solution with 3CX platforms. Leveraged SBC and SIP-to-SIP (pjsip) for natural voice-human handovers and built automated call transcription pipelines for data analysis. OCRAI (Intelligent Document Processing): Engineered an LLM-vision OCR engine to extract data from Emirates IDs, Mulkiyas (Vehicle Reg), Passports, and Tax documents with near-perfect accuracy and high-speed throughput. InvestGPT (FinTech Advisor): Launched a specialized crypto-investment chatbot utilizing MCP for real-time market data access and secure user-profile integration. Strategic Integrations: Orchestrated real-time quoting for 12+ top providers including MetLife, Zurich, AIG, GIG, and QIC. Developed WhatsApp Flows on the Meta platform for instant, in-app personalized quoting. Automation & R&D: Built complex workflows using n8n and Bird (Low-code). Developed a cutting-edge "Computer Use" AI POC for autonomous software navigation. Technical Summary AI/ML: GPT-4-Turbo, AWS Bedrock, OpenAI Assistants API, Embeddings, N-Shot Training. Reasoning Patterns: Chain-of-Thought, Tree-of-Thoughts, Persona/Interview Architectures. Protocols & Infrastructure: MCP (Model Context Protocol), SIP/pjsip, SBC, 3CX, Azure Storage, MongoDB. Platforms & Tools: Meta Business (WhatsApp Flows), n8n, Bird (Low-code), Python (Scripting/Automation).

Visiting Lecturer

University of Engineering and Technology Peshawar • Meio período

Sep 2024 - Feb 2026 • 1 yr 5 mos

Bridged the gap between academic theory and industry application by instructing senior engineering students on modern AI, Big Data architectures, and DevOps practices. Computational Intelligence Specialist: Instructed 3 consecutive semesters of Computational Intelligence, deep-diving into neural networks, fuzzy logic, and evolutionary algorithms to build a foundation for AI systems. Big Data Instruction: Delivered comprehensive lectures on Big Data methodologies, focusing on distributed computing, data velocity, and large-scale architectural principles. Applied AI & Cloud Deployment: Facilitated hands-on modules on building and deploying AI systems, teaching students how to take models from local environments to the cloud using Docker and modern deployment pipelines. Engineering Best Practices: Mentored students in mastering industry-standard tools, including Git for collaborative version control and PyTest for rigorous test-driven development (TDD). System Building Mentorship: Guided students through the end-to-end lifecycle of building RESTful APIs, emphasising microservices, scalability, and clean system-building principles. Impact & Outcomes: Beyond the lecture hall, I have been privileged to see my students leverage these hands-on modules to land successful roles at leading technology firms and launch their own innovative startups. By focusing on high-demand skills like Dockerized deployments and robust API design, they successfully transitioned from theoretical study to high-impact engineering careers. Bridged the gap between academic theory and industry application by instructing senior engineering students on modern AI, Big Data architectures, and DevOps practices. Computational Intelligence Specialist: Instructed 3 consecutive semesters of Computational Intelligence, deep-diving into neural networks, fuzzy logic, and evolutionary algorithms to build a foundation for AI systems.

Full Stack Software Engineer

Cloud Business Company • Meio período

Jul 2025 - Nov 2025 • 4 mos

Architected and re-engineered the BeesApp backend from the ground up, transforming a non-functional legacy codebase into a high-performance, production-ready ecosystem. Performance Engineering: Optimized critical APIs to achieve a 10–15x speed improvement (reducing latency from 3s to <150ms). Eliminated N+1 query patterns and implemented a sophisticated Redis Batch Caching strategy that reduced database load by 95%. Fintech & Payments: Integrated Emkaan Buy Now Pay Later (BNPL) and multiple payment gateways. Engineered a robust transaction engine handling idempotent webhooks, automated reconciliations, and complex state management. Growth & Gamification: Designed and built a full-scale Loyalty & Rewards system, featuring a points-based ledger, competition frameworks, and an Affiliate Marketing module with precise referral attribution logic. Phygital Integration: Developed a secure NFC-driven visit tracking system. Generated server-side NFC IDs to record physical store visits, preventing fraud and providing merchants with real-time foot-traffic analytics. Real-time Infrastructure: Deployed a notification engine using WebSockets and RabbitMQ, supporting instant event delivery for user reports, offer approvals, and system-wide administrative alerts. Security & Identity: Implemented a secure authentication layer using JWT, phone-based OTP verification (Msegat), and custom middleware to protect high-stakes transaction data. Scalable DevOps: Containerized the entire stack using Docker, managed database versioning with Alembic, and optimized media delivery via MinIO CDN and Cloudinary. Tech Stack: FastAPI, Python, SQLAlchemy (MySQL/PostgreSQL), Redis, RabbitMQ, Docker, Alembic, MinIO, Cloudinary.