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AI Engineer with less than a year in ML System Development & MLOps
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning Engineer specializing in end-to-end ML system development, including data pipelines, model training, and production deployment. Experienced in building scalable ML solutions using FastAPI, Docker, MLflow, and CI/CD workflows. Strong background in supervised learning, computer vision (YOLO), and real-world dataset modeling.
Hope to Skill
Machine Learning Program · Machine Learning
August 1, 2025 – June 30, 2025
CampusX
DS Mentorship (DSMP 2.0) · Data Science
August 1, 2024 – June 30, 2024
Virtual University
MS Computer Science · Computer Science
August 1, 2014 – June 30, 2014
Netsol Technologies
AI / ML & Data Science Trainee (On-Site)
January 1, 2026 – Present
India
Loan Default Prediction & MLOps System
June 27, 2026 – Present
Built end-to-end system using XGBoost and FastAPI for real-time inference with input validation. Implemented reproducible pipelines using DVC for versioning and MLflow for experiment tracking. Containerized using Docker and designed CI/CD pipelines for automated deployment. Optimized models with Optuna and addressed class imbalance using ADASYN.
Multiclass Garbage Detection (YOLO)
June 27, 2026 – Present
Fine-tuned a YOLO object detection model for multiclass waste classification using PyTorch. Applied transfer learning to adapt pretrained weights for domain-specific, real-time detection. Evaluated performance using mAP, precision, and recall metrics.
Lahore Real Estate Price Prediction
June 27, 2026 – Present
Developed regression models to predict residential plot prices (R² ≈ 0.79). Engineered features for 339+ locations using target encoding and log transformations.
Microsoft Certified: Azure AI Fundamentals
Microsoft
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a passion for applying AI/ML to diverse problems (loan prediction, garbage detection, real estate). The current trainee role at Netsol Technologies suggests an interest in structured, production-level MLOps. The educational background includes both formal (MS Computer Science) and practical mentorship/program experiences, indicating a proactive learning attitude. However, the experience level is limited, which might impact immediate cultural integration into a senior role requiring extensive independent decision-making and leadership.
Soft Skills & Operational Fit
The candidate's resume indicates a focus on practical application and system building, suggesting a results-oriented approach. The trainee role at Netsol Technologies implies an ability to learn and adapt within an enterprise environment. However, without specific behavioral or teamwork assessments, it's difficult to fully gauge soft skills like collaboration, problem-solving under pressure, or communication beyond technical descriptions.