Applied AI engineering experience built through production-oriented systems.

Focused AI/ML engineering work across machine learning, RAG, agentic systems, APIs, evaluation, cloud deployment, and MLOps, supported by earlier professional experience in analytics, reporting, data quality, and stakeholder decision support.

01 / INDEPENDENT APPLIED ENGINEERING

AI/ML ENGINEER — INDEPENDENT APPLIED ENGINEERING

Jul 2025 – PresentIndependent Applied Engineering

AI/ML Engineer

Independent Applied AI/ML Engineering & Portfolio Development

Designing, building, evaluating, and documenting production-oriented AI/ML systems across machine learning, RAG, agentic AI, APIs, cloud deployment, monitoring, and MLOps.

Building end-to-end ML systems from data preparation and baselines through evaluation, API serving, deployment, and monitoring
Developing RAG and agentic workflows with retrieval, structured outputs, memory, tools, and human approval
Building FastAPI services, Dockerized applications, automated tests, CI/CD workflows, and model-management patterns
Applying AWS cloud deployment, observability, rollback, and production-reliability concepts
Maintaining evidence-backed projects with documentation, tests, limitations, and implementation records

02 / PART-TIME FREELANCE SUPPORT

AI/ML ENGINEER | PART-TIME FREELANCE AI/ML SUPPORT

Jul 2025 – PresentPart-time · Remote

AI/ML Engineer | Part-Time Freelance AI/ML Support

Upwork

Providing part-time AI/ML engineering support across architecture, debugging, model development, APIs, cloud deployment, implementation, and system optimisation.

Supporting machine learning and applied AI solution design
Assisting with model development, debugging, APIs, and deployment workflows
Providing implementation guidance for RAG, agentic AI, MLOps, and cloud-based systems
Translating technical requirements into practical engineering steps

03 / CAREER FOUNDATION

EARLIER PROFESSIONAL BACKGROUND

Feb 2020 – May 2025

Data Analytics Career Progression

LEOS Holdings (Pvt) Ltd.

Data Analyst · Junior Data Analyst · Associate Data Analyst

Built a strong foundation in Python, SQL, Power BI, Excel, forecasting, reporting, data validation, KPI analysis, and stakeholder decision support—skills now applied to AI/ML engineering workflows.

Converted business requirements into structured data and analytical workflows
Improved reporting reliability through data validation and repeatable processing
Developed stakeholder communication, analytical reasoning, and decision-support skills

04 / TECHNICAL COMMUNICATION

EARLIER TECHNICAL COMMUNICATION EXPERIENCE

Feb 2015 – Dec 2019

Chemistry Instructor

Rotary Institute of Graduate Studies

Developed structured technical communication, analytical reasoning, mentoring, and the ability to explain complex concepts clearly—skills now applied to AI system documentation and stakeholder communication.