About
I'm a Full-Stack Engineer with over 4 years of experience crafting dynamic, real-time systems that power SaaS, healthtech, and automation platforms. I’ve driven innovation at companies like Mynd, Medimap, and Extendly, building solutions that blend AI, user-centric design, and robust architecture. My toolkit, React, Next.js, TypeScript, Node.js, Django, and AWS helps me turn complex problems into clean, scalable code. I thrive on creating tools that make developers’ lives easier and users’ experiences seamless.
Work
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Summary
Led the development and scaling of a comprehensive practice management platform, enhancing workflows for 100+ therapists and driving significant operational efficiencies.
Highlights
Architected and scaled a comprehensive practice management platform, serving over 100 therapists and streamlining scheduling, documentation, and billing workflows.
Designed robust backend architecture utilizing Node.js (TypeScript), Django, and AWS Lambda, effectively supporting growing workloads and ensuring system scalability.
Delivered high-performance, accessible user interfaces with React, Chakra UI, and Tailwind CSS, significantly improving client onboarding and therapist productivity.
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Summary
Developed and deployed a RAG-based chatbot for contextual customer support, significantly improving response accuracy and user experience.
Highlights
Engineered a RAG-based chatbot utilizing OpenAI, FastAPI, and PostgreSQL, providing contextual and efficient customer support.
Implemented advanced vector similarity search, boosting response accuracy by 40% based on comprehensive test user feedback.
Developed highly responsive, cross-platform UI components with React, significantly enhancing user experience across diverse devices.
Integrated critical third-party APIs into existing SaaS workflows, leveraging AWS Lambda and serverless architecture for scalable solutions.
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Summary
Led the development of an ML-based system for trademark infringement detection, significantly reducing manual review time and enhancing automation.
Highlights
Developed an advanced ML-based system for trademark infringement detection in logos, achieving 85%+ accuracy and reducing manual review time by 70%.
Constructed multiple full-stack applications using Node.js, React, Flask, and PostgreSQL for legal and marketing automation.
Refactored PostgreSQL and MongoDB schemas and queries, significantly improving database performance and scalability under growing data loads.
Languages
English
Fluent
Urdu
Native
Skills
Databases
PostgreSQL, MongoDB, MySQL, DynamoDB.
Cloud Platforms & Services
AWS (Lambda, Chime, S3), GCP, Serverless Framework.
Programming Languages
Python, TypeScript, JavaScript, C#.
Frameworks & Libraries
Node.js, Django, FastAPI, React, Langchain, Chakra UI, Tailwind CSS, Next JS, Nest JS.