Zeba Shaikh

Zeba Shaikh

AI/ML Architect
India

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…

الخبرة

Senior Technical Architect

Hexaware Technology
Nov 2021 - حتى الآن · 4 سنوات 7 أشهر

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

Hexaware Technologies
حتى الآن

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)

Neosoft Technologies

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

Marsh and McLennan (formerly JLT India Pvt Ltd)

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.

المهارات

جافا أنماط التصميم بروتوكول الوصول البسيط للكائنات (SOAP) هندسة البرمجيات المعمارية واجهات برمجة التطبيقات خدمات أمازون ويب (AWS) هندسة السحابة برمجيات المؤسسات تسجيل الدخول الفردي هندسة الحلول Python TensorFlow PyTorch scikit-learn Large Language Models (LLM) SageMaker Bedrock Amazon Titan Text Embedding Anthropic Claude Instant PaLM2 Claude 3 Haiku Amazon Titan Image Generator G1 Text Classification Sentiment Analysis Named Entity Recognition Image Classification Object Detection Image Segmentation Convolutional Neural Networks (CNN) Recurrent Neural Networks (RNN) Generative Adversarial Networks (GAN) C-GAN Exploratory Data Analysis Data Preprocessing Feature Engineering PyCharm Jupyter Notebook Git GCP Vertex AI Trello Bitbucket Hugging Face Transformers GPT-2 BERT MLflow Neptune.ai MLOps Fine-tuning Prompt Engineering LangChain Vector DB AWS Textract Amazon Kendra OpenSearch spaCy NLTK ChatterBot TextBlob
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