Hi, I'm Mir Adnan
Senior AI Engineer
Toronto, Canada
14+ years of experience building high-velocity products. Successfully scaled 4 startups.
About Me
With over 14 years of experience in software engineering, I am driven by a genuine passion for programming and an unwavering commitment to solving complex technical challenges. I find deep satisfaction in transforming intricate problems into elegant, scalable solutions.
Throughout my career, I have specialized in architecting and building high-velocity, production-grade applications that are highly available, secure, fault-tolerant, and auto-scalable. My approach combines rigorous engineering principles with innovative problem-solving, ensuring that every system I design not only meets current requirements but is also built to evolve and scale.
I am passionate about leveraging cutting-edge technologies to build intelligent systems. From developing AI-powered chat applications with RAG systems and MCP servers to optimizing performance-critical financial systems processing millions of transactions, I thrive on tackling diverse technical challenges across different domains.
Beyond technical execution, I am a collaborative team player who values knowledge sharing and continuous learning. I stay current with emerging technologies, actively experimenting with new tools and frameworks to understand their potential and applicability. This curiosity-driven approach enables me to bring fresh perspectives and innovative solutions to every project I undertake.
Experience
Designed and built cutting-edge AI-powered chat applications leveraging Large Language Models (LLMs) with advanced RAG (Retrieval Augmented Generation) systems. Developed a comprehensive MCP (Model Context Protocol) server infrastructure to enable seamless integration between LLMs and external data sources, tools, and services.
Key Achievements:
- Architected and implemented a production-ready RAG system that enhances LLM responses with real-time context retrieval from vector databases and knowledge bases.
- Built custom MCP servers to extend LLM capabilities, enabling dynamic tool calling, function execution, and multi-source data aggregation.
- Developed intelligent chat interfaces with streaming responses, context management, and multi-turn conversation handling.
- Optimized embedding generation and semantic search pipelines for sub-100ms retrieval latency at scale.
- Implemented robust error handling, rate limiting, and monitoring systems for production AI workloads.
Technologies:
Pixelvide has built IFMIS (Integrated Financial Management System) for the Government of Telangana. The IFMIS System manages about 2,40,000 employees salaries, arrears, loans and other government bills.
Key Achievements:
- Built services to process employee salaries and other payments for the state government.
- Built services to validate duplicate payment checks each time a bill is processed.
- Built a complete DevOps pipeline, to publish code to production servers in 60 seconds.
Technologies:
StegoSOC delivers continuous security and compliance monitoring for cloud infrastructure. Detects Cyber Threats in near Real-time. It's an IDS and IPS which uses AI, Machine Learning to detect and proactively prevent possible cyber attacks.
Key Achievements:
- Scaled platform from 0 to 30 Million events a day
- Built Linux agents from ground up and created a complete pipeline to collect all events from agents
- Designed PCI DSS compliant infrastructure
Technologies:
BuzzBoard uses Data Science to give companies targeting SMS's insights that drive sales throughout the customer lifecycle.
Key Achievements:
- Scaled platform from 0 to 3.6K active customers
- Created bots to crawl 167 million websites each month
Technologies:
Technologies
Frontend
Backend
Data Stores
Web Servers
Cloud Computing
Email Services
Get In Touch
Have a project in mind or want to collaborate? I'd love to hear from you.