I’m Muhammad Haseeb, a Python-focused Software Engineer and applied machine learning practitioner with 4+ years of experience building reliable backend systems and ML-ready services. I specialize in designing robust REST APIs, scalable data pipelines, and modular components that stay resilient across noisy real-world inputs. I’ve worked end-to-end on projects including standardized eye-tracking pipelines from multiple devices, implemented event-detection logic with strong validation, and built comprehensive preprocessing/data-quality layers. I enjoy clean architecture, automation, and continuous learning—leveraging modern engineering practices like Docker-based development, ORM integrations, and test automation, while using AI tools to accelerate coding, debugging, and refactoring with careful review.…

Muhammad Haseeb

I’m Muhammad Haseeb, a Python-focused Software Engineer and applied machine learning practitioner with 4+ years of experience building reliable backend systems and ML-ready services. I specialize in designing robust REST APIs, scalable data pipelines, and modular components that stay resilient across noisy real-world inputs. I’ve worked end-to-end on projects including standardized eye-tracking pipelines from multiple devices, implemented event-detection logic with strong validation, and built comprehensive preprocessing/data-quality layers. I enjoy clean architecture, automation, and continuous learning—leveraging modern engineering practices like Docker-based development, ORM integrations, and test automation, while using AI tools to accelerate coding, debugging, and refactoring with careful review.…

Available to hire

I’m Muhammad Haseeb, a Python-focused Software Engineer and applied machine learning practitioner with 4+ years of experience building reliable backend systems and ML-ready services. I specialize in designing robust REST APIs, scalable data pipelines, and modular components that stay resilient across noisy real-world inputs.

I’ve worked end-to-end on projects including standardized eye-tracking pipelines from multiple devices, implemented event-detection logic with strong validation, and built comprehensive preprocessing/data-quality layers. I enjoy clean architecture, automation, and continuous learning—leveraging modern engineering practices like Docker-based development, ORM integrations, and test automation, while using AI tools to accelerate coding, debugging, and refactoring with careful review.

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Experience Level

Expert
Expert
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Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Software Engineer at NiteSun Technologies
January 1, 2024 - Present
Built a Python backend pipeline to standardize and process eye-tracking data from 7 heterogeneous devices (11–200 Hz) for unified analytics and ML inference. Designed modular blink detection logic using fixed-threshold, adaptive MAD, and missing-gaze strategies to improve robustness across noisy multi-device signals. Implemented saccade detection using velocity-based filtering (Savitzky–Golay) and dispersion-based clustering (I-DT) to ensure consistent event extraction across sampling rates. Applied statistical validation (velocity–amplitude with 3σ filtering) to reduce noise and false positives. Implemented preprocessing and data-quality checks including timestamp validation, schema checks, and automated frame repair for corrupted or missing gaze data. Used Cursor and Claude Code for code exploration, debugging, refactoring, and test development, reviewing and validating AI-assisted changes before integration.
Lead Frontend Engineer at Nitesun Technologies
January 1, 2024 - Present
Defined frontend architecture standards with React 18, TypeScript, and Next.js 14 to improve code consistency and developer velocity. Designed and maintained a scalable design system and component library in Storybook, reducing UI delivery time by 30% and eliminating visual inconsistencies. Partnered with designers in Figma to deliver pixel-perfect, WCAG 2.1 AA-compliant interfaces. Shipped AI-powered features (LLM-driven summarization and personalized recommendations) using the OpenAI API and LangChain. Improved Core Web Vitals by cutting LCP by 40% and reducing page load time by 35% via code splitting, lazy loading, and bundle optimization. Led structured code reviews, mentorship, and cross-functional design critiques to raise engineering quality.
Senior Frontend Engineer at Netsol
June 1, 2022 - December 31, 2023
Owned end-to-end feature delivery across web and mobile from Figma handoff and technical scoping through staging, QA, and production release. Built performant, accessible UIs using React, TypeScript, Tailwind CSS, and Radix UI while consistently meeting WCAG 2.1 AA standards. Delivered micro-interactions and page transitions using Framer Motion to improve engagement. Architected frontend data layers consuming RESTful and GraphQL APIs with async state management using Redux Toolkit and Zustand. Improved testing coverage from under 30% to over 75% using Jest, React Testing Library, and Cypress. Led a zero-downtime migration from a legacy JavaScript monolith to a modern React + TypeScript architecture, shipped incrementally over 6 months.
Software Engineer at Codiez
June 1, 2021 - December 1, 2023
Developed and maintained RESTful APIs using Python with FastAPI/Django to support scalable backend services and client integrations. Built automated API and integration tests for backend workflows, database interactions, authentication, and external service integrations to detect regressions before deployment. Designed services around documented API contracts, handling request validation, response behavior, error scenarios, and edge cases for RESTful integrations. Optimized PostgreSQL/MySQL data models and queries using ORM-based workflows to improve data consistency and API performance. Contributed to containerized development and deployment workflows using Docker and Git, troubleshooting issues across application and service integration layers.
Frontend Developer at Systems Limited
April 1, 2020 - March 31, 2022
Built real-time, interactive UI components for a live audience engagement platform supporting thousands of concurrent users during large-scale events. Implemented low-latency WebSocket handling for live polling, Q&A, and audience reactions with sub-100ms response times. Collaborated with UX designers in Figma and Adobe XD to produce responsive, accessible layouts across desktop and mobile. Achieved full WCAG 2.1 AA accessibility compliance across the platform, expanding reach to users with disabilities. Worked in an agile environment with sprint planning, estimation, retrospectives, and cross-team technical syncs.

Education

Bachelor of Science in Computer Science at NUST
January 11, 2030 - July 28, 2026

Qualifications

Bachelor of Science in Computer Science
January 11, 2030 - September 24, 2026

Industry Experience

Software & Internet, Computers & Electronics, Education, Other