نبذة عني
AI/ML Architect with nearly 8 years of experience in AI, Data Science, Machine Learning, Deep Learning, Computer vision and Generative AI. Designing and implementing cutting-edge cloud-based solutions, enterprise archite…
AI/ML Architect with nearly 8 years of experience in AI, Data Science, Machine Learning, Deep Learning, Computer vision and Generative AI. Designing and implementing cutting-edge cloud-based solutions, enterprise architecture, and product development. Track record includes slashing infrastructure costs by 50-60%, boosting system reliability by 25%, and enhancing overall performance by 15%. Adept at collaborating with cross-functional teams, establishing architecture standards, and providing top-notch technical guidance to drive project success.
الخبرة
Senior Technical Architect
Gen Ai architect As an experienced professional with years of experience in Artificial Intelligence (AI), Machine learning, Deep Learning, Data Science, and Computer Vision, I have gained extensive expertise in developing innovative solutions using ML frameworks such as TensorFlow, Keras, Pytorch, and scikit-learn, Deep learning architectures such as CNNs, RNNs, and GANs, and computer vision techniques such as object detection, segmentation, and tracking. I have also honed my skills in data analysis and visualization tools such as pandas, NumPy, Matplotlib, and Seaborn and possess a sound understanding of NLP techniques and frameworks such as NLTK, spaCy, and Gensim.
I have worked in diverse environments such as Anaconda, PyCharm, notebook, Spyder (python), SQL, SSMS, GitHub, Bitbucket, AWS (lambda, S3, EC2, SQS, SNS), DynamoDB, MLOPs, Sage maker, PowerShell, Putty, Trello, etc. During my professional journey, I have worked with various leading organizations and have contributed to their success with my technical expertise and innovative solutions.
Recently focused on prototyping generative AI models on AWS and GCP
Technical Architect
Led a team.
Launched a Generative AI SAAS solution for retailers at AWS Marketplace using AWS Bedrock.
Applied LangChain framework.
Used Vector DB.
Used prompt engineering.
Used negative prompting.
Prevented hallucination in generative AI models.
Developed and deployed a model and Gen AI solution for product descriptions.
Leveraged Google Cloud Platform (GCP) PaLM2 for text.
Fine-tuned the model in Generative AI studio.
Improved customer engagement by 20%.
Developed an intelligent NLP-based search solution using Amazon Kendra.
Improved search accuracy by 30%.
Reduced search time by 50%.
Incorporated website crawling.
Incorporated metadata extraction.
Incorporated custom acronyms to enhance search functionality.
Implemented an AI document assistant for a paralegal medical consultant using AWS Textract and OpenSearch.
Reduced time spent on document searching by 40%.
Enabled efficient text searching in scanned PDF.
Improved productivity and accuracy.
AIML Engineer (Consultant)
Implemented synthetic data generation techniques, including GANs, to address class/data imbalance issues in image classification datasets.
Trained the model and logged artifacts on MLflow.
Independently developed applications involving OCR.
Developed Aadhaar detection.
Developed digital go-to-market OCR.
Developed Arabic OCR on Egyptian ID cards.
Optimized search algorithms for QA systems.
Leveraged BM25.
Leveraged elastic BT25- Index.
Leveraged gensim.
Leveraged BERT.
Built models using large-scale datasets.
Data Scientist/ML Engineer
Created an interactive chatbot for insurance broking using spaCy, NLTK, chatterbot, and textblob.
Developed a predictive model for employee benefit health insurance costs using matplotlib, linear_model, pandas, and NumPy.
Built a healthcare model for predicting diabetes in patients.
Developed an acquisition model for comparing functional/technical documents using Gensim, doc2vec, and Sequential model packages.