About Me
Highly skilled machine learning engineer with experience in computer vision, natural language processing, and big data analysis. Led the development of end-to-end document processing systems, real-time camera streaming a…
Highly skilled machine learning engineer with experience in computer vision, natural language processing, and big data analysis. Led the development of end-to-end document processing systems, real-time camera streaming and processing, medical image classification, and face recognition using deep learning. Proficient in Python and experienced in working with SQL and NoSQL databases. Seeking a challenging role to apply my skills and contribute to innovative projects.
Experience
Machine Learning Engineer
• Python Developer for Data Science projects that allow ChatGPT to use VM for data science tasks
• Developed Django/React/Vue applications for internal usage
• Debugging code and writing documentation
• Enhancing the functionality of GPT-4 with VMs
• Performing peer code review and providing constructive feedback to 34 software developers
Software Engineer
<p>Developed Django/React/Vue applications for internal usage<br>
Debugging code and writing documentation<br>
Enhancing the functionality of GPT-4 with VMs<br>
Performing peer code review and providing constructive feedback for 34 software developers</p>
Machine Learning Engineer
<p>Finetuned OCR models (tesseract, easyocr, keras-ocr, mmocr) for multilingual documents<br>
Trained and deployed spacy models for Named Entity Recognition using BERT transformer<br>
Created entire end-to-end pipeline for document processing system with project cost 150k$<br>
Mentored a team of python developers for RPA commercial project with 4M$ and 2030 users</p>
Big Data Engineer
<p>Deployed commercial columnar DB and analyzed passenger statistics with COVID+ results across the country with more than 100 million records<br>
Created and deployed Docker images for Big Data Project (Pentaho, PostgreSQL,repmgr, LoadBalancer, apache superset, jupyter-hub)<br>
Participated as a speaker at the Asian University Alliance (AUA) workshop on Data Science and Artificial Intelligence 2021 with Capsule Networks tutorial</p>
Machine Learning Engineer
<p>Setup real-time camera steaming and processing with Apache Kafka for human face recognition and human body tracking<br>
Rewrote the pipeline for batch processing in MTCNN model (PyTorch) on GPU<br>
Parallelized C++ code and synced it with Java Native Interface (JNI) with a speedup of 200%<br>
Created microservice API for video analytics using Flask for face recognition</p>
Machine Learning Researcher
<p>Led the practical lab session for grad-level Advanced Deep Learning course, Fall 2020<br>
Reviewed paper submitted to ICPR20 for supervisor<br>
Achieved 93% IoU for deep learning models(Unet, VAE) for medical data and was invited to NeuroCure Research Center to deploy models on real data Berlin, GE<br>
Published Alzheimer’s disease classification using Capsule Networks on structural 3D MRI images in ICBSP, Sep 2020</p>