Akram Ali

About

AI/ML Engineer (2024 CS Engineering graduate) who develops, trains, evaluates, and deploys machine learning and deep learning models in Python using TensorFlow, Keras, and PyTorch. Experienced across the full ML lifecycle — data preparation, feature engineering, training, evaluation, and deployment — including taking models to production via ONNX export and on-device (TFLite) inference. Google-certified in Advanced Data Analytics. Open to remote AI/ML Engineer roles.

Skills

Education

• LOVELY PROFFESIONAL UNIVERSITY

  Under Graduation, B. Tech / BE, Artificial Intelligence and Machine Learning Engineering

  2020 – 2024

Projects

• Pulse — Health & Fitness App

  Flutter · Dart Shipped a cross-platform health-and-fitness tracker with responsive dashboards and state-managed user data.

• FinTrack

  Flutter · Dart Cross-platform finance-tracking app built with Flutter/Dart.

• Image Classification CNN

  TensorFlow · Keras · ONNX · 2025 Trained a multi-class CNN image classifier with a full training and evaluation workflow. Exported via ONNX and deployed on-device using tflite_flutter for optimized inference.

• Real-Time Sign Language Detection

  Built a CNN-based gesture-recognition pipeline on live video, achieving sub-100ms inference latency for a production-grade real-time target. Designed the end-to-end data flow — frame capture, annotation, ground-truth lab

• MNIST Digit Classification with Neural Network

  Deep Learning · Jupyter Notebook Built and trained a neural network classifier on the MNIST handwritten digit dataset, covering the full model-building and evaluation pipeline.

• Student Dropout & Academic Prediction

  Predictive Analytics · 2023 Built predictive models on structured institutional data to flag at-risk students using feature selection and normalization. Compared regression and classification models with RMSE, MAE, accur

Certifications

• Deloitte Data Analytics Job Simulation — Forage (Jul 2026)
• Foundations of Data Science — Coursera (Jan 2026)
• Get Started with Python — Coursera (Jan 2026)
• Go Beyond the Numbers: Translate Data into Insights — Coursera (Jan 2026)
• Machine Learning — Coursera (Nov 2023)
• Version Control — Coursera (Jun 2023)
• Programming with JavaScript — Coursera (Mar 2023)
• Natural Language Processing — Coursera (Feb 2023)