Help & Supportcareers@gravityer.com
Machine Learning Engineer with 4+ years in AI Models Training & Computer Vision
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Machine Learning Engineer with 4.6 years of expertise in developing and optimizing AI models for computer vision tasks such as face detection, person detection, and optical character recognition. Skilled in Python, TensorFlow, PyTorch, and FastAPI, with a strong background in deep learning, data augmentation, and model generalization. Proven ability to improve model accuracy and reduce inference time for production environments.
Ferdowsi University
Master of Artificial Intelligence · Artificial Intelligence
September 1, 2017 – March 1, 2021
Damghan University
Bachelor of Computer Science · Computer Science
September 1, 2010 – July 1, 2014
Part Al Co
Machine Learning Engineer
October 1, 2021 – Present
India
Creating Chatbot
June 24, 2026 – Present
Built a multilingual question-answering Telegram bot that translates Persian inputs to English using a T5-based MT model, queries the Mixtral-8x7B-Instruct LLM via Together API, and translates the generated answers back to Persian using a ParsiNLU/MT5 translation model for end-to-end Persian support.
View ProjectWeb Site Programming
June 24, 2026 – Present
Created some websites using Laravel, PHP, JavaScript.
View ProjectPaint pix2pix Tensorflow
October 1, 2021 – November 1, 2021
Implemented Image-to-Image Translation Using Conditional Adversarial Networks. Performed inference on images and painted using pyqt5.
View ProjectFace Mask Detection
October 1, 2021 – November 1, 2021
Trained a model on the facemask dataset. Used SCRFD pre-trained model for face detection and alignment. Converted face detection and mask detection models to ONNX. Performed inference on image, video, and webcam using an ONNX runtime environment.
View ProjectIranian Cars Detection using Yolov5
August 1, 2021 – September 1, 2021
Labeled images of data containing Iranian cars in five classes. Trained Yolov5 model for detection.
View ProjectCultural Fit Analysis
The candidate's diverse project portfolio, including both computer vision and NLP (chatbot), along with web development, suggests adaptability and a broad interest in different technical domains. The current role as a Machine Learning Engineer aligns perfectly with the target role, indicating a clear career path and relevant experience. The self-study projects and publication demonstrate initiative and a proactive learning attitude, which are positive indicators for cultural fit in a dynamic technical environment.
Soft Skills & Operational Fit
The candidate's resume indicates a strong drive for self-study and practical application, as evidenced by personal projects like the multilingual chatbot and website programming. The detailed descriptions of work experience suggest a methodical approach to problem-solving and optimization. The publication also highlights a commitment to contributing to the field.