AI Engineer
AI Engineer building production-grade intelligent systems, from multimodal ML pipelines to explainable AI and scalable backend infrastructure. Author of the MMIA research paper (multimodal interview assessment, r = 0.92 vs. human judgement) and creator of ResumeTex, an open-source resume automation platform. Focused on turning research-grade AI into reliable, real-world products, with a growing interest in systems-level programming. Based in Karachi, Pakistan.
Contrbution Graph
Work Experience
Power Present AI
AI Engineer
Worked on the AI backend for PowerPresent, building FastAPI and LangGraph services that turn user briefs and uploaded presentations into structured, on-brand slide decks. Developed the custom template extraction pipeline for detecting themes, extracting brand colors, filtering presentation chrome, and generating reusable template assets. Integrated business, marketing, research, and custom templates into the presentation generation workflow, including Pydantic schemas, prompts, slide layouts, and content structures. Improved the AI Suggestion API to classify topics, use cases, and languages and recommend suitable templates and visual styles. Also contributed to the initial backend voiceover pipeline using PostgreSQL queues and background workers.

ResumeTex
Self Employed Software Developer
As a self-employed software developer at ResumeTex, I designed and built a full-stack web application that converts PDF resumes into editable LaTeX-based templates. Leveraging Node.js and Python, I developed intelligent parsing algorithms achieving over 96% accuracy. The platform includes dynamic template rendering and user-friendly editing features, and it is currently being adopted by a growing startup to streamline their resume processing workflows.

Whatflow
Full Stack Engineer
Contributed to Direct WhatsApp Ordering, enabling customers to place orders and track their status seamlessly through WhatsApp using React.js, Liquid, and Node.js. Migrated app settings into Shopify theme settings to improve the merchant customisation experience within the Shopify editor. Integrated APIs to ensure smooth synchronisation between the storefront and backend services.

Alfabolt
Backend Intern
I developed backend APIs using Django REST Framework, implementing role-based access control (RBAC) to ensure secure user access. I handled authentication flows using Django’s built-in auth system with both JWT and session-based login. My contributions included designing efficient database schemas, optimizing queries to improve API response times by 3%, and managing complex model relationships such as OneToOne, ForeignKey, and ManyToMany. I safely executed multi-step migrations in production and documented over 30 API endpoints using Postman and Swagger/OpenAPI. Additionally, I actively participated in Git workflows—including feature branching, rebase, cherry-picking, and resolving merge conflicts—and worked closely with senior developers and frontend teams in agile sprints and code reviews.

MiniRena
Executive Backend Engineer
I architected and developed a production-grade backend for a scalable real-time booking platform using Node.js, Express.js, and PostgreSQL. The system supported over 100 optimized RESTful API endpoints capable of handling 500+ concurrent users with sub-second response times. I integrated Firebase Cloud Messaging (FCM) and Apple Push Notification service (APNs) to deliver notifications with a 95%+ success rate and implemented real-time interactions via WebSockets for booking updates, user presence, and live synchronization across devices. Secure authentication flows were built using JWT, supporting Google, Facebook, and manual logins. To enhance security and stability, I added rate limiting and input sanitization, reducing abuse by over 4%. The application was deployed on Render with CI pipelines and environment-based configurations. Throughout development, I collaborated closely with frontend teams to align API contracts, data handling, and error responses for a seamless user experience.

