Mohsin Nasir Tech Lead | Software Architect
+44790 1750043 
adil.nasir.mughal@gmail.com • Enthusiastic professional, responsible person, and well organized • Proven leadership abilities in working as a team, handling multiple tasks, and great adaptability to any enterprise environment • Positive and keen to succeed • Self-Motivated and always ready to learn new things • Experience: 4+ years
Work Experience
AlgoFace, Inc.
Software Engineer || Customer Success - Onboarding & Implementation (Feb 2021 to Aug 2023) 2 Years & 6 Months
• Served as the primary bridge between Sales, Marketing, and Engineering teams, translating business needs into technical requirements. • Work with leadership team to provide strategic direction for existing toolset • Communication with clients and provide product technical support and integration • Led B2B customer onboarding from requirements gathering, technical scoping, and integration planning to deployment and post-launch support. • Integrate computer vision-based software components into a fully functional software system on desktop and web platforms • Collaborated with AI engineering team to troubleshoot, optimize, and fine-tune algorithms for improved performance and user satisfaction. • Delivered technical demonstrations, proof-of-concepts (POCs), and training sessions to drive customer adoption of AI solutions.
Education
University of Huddersfield
MSc Artificial Intelligence(2023 - 2024)
University of Central Punjab
BSc Computer Science(2017 - 2021)
Featured Projects
Prediction of Hospital Readmission for Diabetic Patients
Designed and deployed an AI-powered predictive analytics system to forecast hospital readmissions in diabetic patients, leveraging a 100K+ record healthcare dataset. Engineered data pipelines with advanced preprocessing, feature engineering, and class balancing, and implemented state-of-the-art models (SVM, Neural Networks, XGBoost, LightGBM). Achieved 99.6% accuracy by optimizing SVM with a Genetic Algorithm, delivering a scalable, high-impact solution with potential to reduce healthcare costs, improve patient outcomes, and support data-driven decision-making in clinical environments.
Virtual Makeup Artist
Makeup ARtist gives you the most accurate virtual rendering of beauty products without adding any filters or smooth the skin unnaturally. Virtual makeup solution has options/masks for foundation, concealer, blush, highlighter, bronzer, contour, lipstick, lip gloss, lip liner, mascara, eyeliner, eyebrows, and eyeshadows.
Ghar Banao – Web-Based Tool for Automated Material Estimation
Developed “Ghar Banao,” a web-based application that automates construction material estimation for residential projects. Utilized Optical Character Recognition (OCR) to scan architectural maps and calculate precise quantities of bricks, cement, sand, gravel, and steel for grey structures. Designed a parallel manual input system for users without digital maps, ensuring accessibility and accuracy. Delivered a user-friendly platform that streamlines early-stage construction planning, reduces material waste, and supports cost-effective decision-making for homeowners, builders, and contractors.
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Meet People
Technical Skills
- AI/ML Framework Expertise
- AI Model Deployment
- AR/VR Development
- SQL Server, MySQL
- MEAN/MERN Stack
- React/Angular
- Research & Development
- Python
- Matlab
- Agile methodologies
Personal Skills
Communicative
Goal Oriented
Innovative
Adaptable
Productive
LANGUAGES
English (UK)
Full Working Proficiency
Urdu
Native or Bilingual Proficiency
PERSONAL
Nationality
Pakistan
Date of Birth
1997/09/04
Marital Status
Single
Driving License
Yes
Skype
Adil Nasir
Achievements
- Youngest Brand Ambassador in AlgoFace and attend different confrences in Meta, Datagen.
- Built and managed an active developer community focused on computer vision, augmented & virtual reality, and artificial intelligence, facilitating regular technical discussions, mentorship, and collaborative projects.
