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

Built and scaled an AI-first CRM SaaS product, shipping LLM-powered features that improve productivity and customer engagement across sales and support workflows. Led development across Node.js, Go, and Python—introducing microservices and micro-frontend architecture—while driving performance improvements, secure integrations, and strong production observability.

Key Achievements:

  • Built AI workflows inside the CRM (LLM-assisted writing/summaries and smart search) with grounded context retrieval and safe prompt/tool patterns.
  • Introduced a microservices architecture, carving out domain services and shared platform capabilities (auth, async jobs, integrations) with clear APIs and ownership.
  • Implemented micro-frontend patterns to enable independent delivery of CRM modules while keeping UX consistent and releases low-risk.
  • Designed and implemented scalable APIs and background processing for sync, enrichment, notifications, and scheduled automation.
  • Improved performance and reliability through profiling, query/index tuning, caching, and proactive monitoring/alerting.
  • Hardened LLM features with guardrails (validation, content controls, and fallback strategies) and improved response quality through prompt iteration and evaluation.
  • Improved developer velocity with better service boundaries, shared libraries, and streamlined CI/CD and release practices for faster, safer deployments.
  • Strengthened multi-tenant reliability with safer rollout patterns, backward-compatible changes, and operational playbooks for incident response.

Technologies:

Node.jsGoPythonReactTypeScriptMicroservicesMicro-frontendsPostgreSQLRedisDockerAWSLLMsRAGVector DatabasesREST APIsWebhooksOAuthBackground JobsObservability

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:

NginxLaravelGoLangPHPPostgreSQLMongoDBRedisMemcachedDockerAWSAngularJsPythonMLLambda

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:

VueJsNginxYii2GoLangPHPMySQLMongoDBRedisDockerAWS

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:

ApacheNginxSquidCore PHPCakePHPYii2JQueryMustache JSJavaScriptMySQLMongoDBMemcachedAWS

Technologies

Frontend

TailwindCSSReactVue

Backend

NodeJSGoLangPythonPHPJava

Data Stores

PostgreSQLMongoDBRedisMemcachedElasticSearchRedshiftS3MySQLWeaviate

Web Servers

ApacheNginxCaddySquid Proxy

Cloud Computing

Amazon Web Services (AWS)Google Cloud (GCP)EC2EFSCloudFrontAWS RDSAWS SESVPCNAT GatewaySubnetsVPC Links

Email Services

Haraka MailSMTP Servers

Get In Touch

Have a project in mind or want to collaborate? I'd love to hear from you.