Muzamil Mir

Mid-level AI/ML Engineer with 1+ year of hands-on model development and deployment experience, backed by 11 years of technology leadership across enterprise environments. Skilled in building production-grade machine learning pipelines, natural language processing systems, and computer vision applications using Python, deep learning frameworks, and big data tools. Combines strong engineering fundamentals with a product mindset — translating model behaviour into user-facing outcomes and guiding roadmap decisions through data-driven analysis.

Equally effective in fast-moving startup environments and large-scale institutional settings.

AI Engineer at Deeplearning Innovations (2024-06 – Present)

• Built and maintained production ML pipelines — covering data ingestion, feature engineering, model training, and deployment — reducing model update cycle time by ~35%, directly improving product responsiveness for end users.
• Engineered NLP and computer vision components within deployed AI products, applying transformer-based architectures and CNN models to boost recognition accuracy; conducted systematic troubleshooting that cut critical incident resolution time by ~40%.
• Implemented user-behaviour analytics and structured feedback loops to continuously retrain and optimise models in production, driving measurable improvements in model precision and end-user satisfaction scores.
• Led in-depth competitive and industry-trend analyses across NLP, computer vision, and generative AI domains; delivered insights that directly shaped a 6-month product roadmap adopted by senior leadership.
• Collaborated cross-functionally with product and business stakeholders to translate technical model capabilities into clear product requirements, bridging the gap between ML engineering and AI product strategy.

IT Incharge (Technology Lead) at Department of Law, Kashmir University (2013-06 – 2024-02)

• Spearheaded end-to-end IT operations and digital infrastructure for a 500+ user institutional environment, achieving 99%+ system uptime over 11 years through proactive network optimisation and cybersecurity enforcement.
• Led cross-functional teams of 5–8 engineers and administrators through software testing, maintenance, and infrastructure upgrade cycles, reducing average deployment time by 30% via structured project execution frameworks.
• Integrated legal compliance frameworks into digital workflows for public and private sector use cases, automating document management processes and reducing manual compliance review cycles by an estimated 25%.
• Drove cross-departmental data pipeline initiatives — standardising data formats, improving system interoperability, and enabling scalable digital academic services for thousands of students annually.

Data Entry Operator at University of Kashmir (2008-10 – 2012-12)

• Digitised 10,000+ academic and administrative records into structured databases, increasing document retrieval speed by 60% and establishing a scalable data foundation for downstream analytics.
• Redesigned data input templates and processing protocols, boosting throughput by 25% while maintaining a sub-1% error rate — laying early groundwork for data quality standards later applied to ML datasets.

Master of Computer Applications in Computer Applications – University of Kashmir

Master of Business Administration in Business Administration – University of Kashmir

Bachelor of Computer Applications in Computer Applications – University of Kashmir