PROFILE SUMMARY
18 years experienced Gen AI Expert with expertise in NLP, ML, and cloud platforms. Skilled in Python, R, AWS, and data visualization. Strong leadership, statistical modeling, and stakeholder communication skills.
PROFESSIONAL EXPERIENCE
Gen AI Expert
Elli Lilly & Company | Jan 2023 - Present- Led Python script development for patient healthcare records, ensuring accuracy through data cleaning and preprocessing. Implemented topic modeling, clustering, and QA techniques while automating NLP feature APIs for improved efficiency.
- Built a domain-specific chatbot using LangChain, vector databases (Faiss, Pinecone), and RAG architecture. Fine-tuned pre-trained models for contextual understanding and applied LDA, GSDMM, and BERT for topic modeling.
- Employed clustering algorithms (K-Means, DB Scan) for topic identification, used embedding layers like Google USE and CS-BERT, and performed rigorous QA with Confusion Matrix, Lemmatization, Stemming, and Multi-language Validation.
- Ensured GDPR compliance through data governance, anonymization, and encryption. Conducted AI audits to align with data minimization principles, built production test plans, and automated NLP classification APIs for customer service.
- Innovated with LLMs like GPT-3.5 and LLAMA 2 for topic identification via RAG. Used ServiceNow, Confluence, and API testing tools (Postman, Python). Deployed AI-driven tools for decision support and predictive analytics.
- Prioritized ethical AI with Explainable AI (XAI), fairness principles, and compliance with global standards (OECD AI Principles, EU AI Act). Integrated model interpretability and AI-powered tools for resource optimization and engagement insights.
Lead Data Scientist/ ML Engineer
Alignment Healthcare | Apr 2020 - Dec 2022- Led a data engineering initiative to acquire, ingest, and curate data from multiple sources using AWS, enhancing data pipelines for improved quality, accessibility, and decision-making. Used data science methods to analyze Slack support patterns and optimize customer satisfaction.
- Processed and prepared text data with Python and NLTK, developing custom solutions using TensorFlow, Keras, and NumPy. Implemented and fine-tuned BERT, Word2Vec, and GloVe for sentiment analysis and classification, applying statistical models like random forests and logistic regression.
- Designed and deployed OCR-based AI models using CNNs and RNNs to extract patient data from medical documents, ensuring HIPAA compliance with encrypted workflows and role-based access control. Developed AI-driven healthcare applications for secure handling of Protected Health Information (PHI).
- Applied predictive modeling for optimizing customer experiences, revenue generation, and ad targeting. Designed AI systems with Privacy by Design, ensuring transparency in data handling. Created data pipelines and success metrics for Customer Experience insights.
- Developed REST-based APIs for efficient data piping, collaborated with IT to process and verify data integrity, and built dashboards with data visualization tools. Provided leadership with data-driven strategies, improving business performance and customer interactions.
- Implemented generative AI models for automated responses, crisis management simulations, market trend analysis, and chatbot development for booking and customer support. Designed AI applications aligned with regulatory frameworks for automated decision-making in areas like credit scoring.
Data Scientist/ ML-Ops Engineer
Various Projects | Jan 2006 - Mar 2020- Led a cross-functional team at New York Life Insurance Company, deploying forecasting and NLP models to improve customer experience, assessing client reactions, and predicting peak demand points.
- Designed and implemented specialized algorithms, statistical evaluation techniques, and Convolutional Neural Networks (CNNs) using PyTorch and Python for data analysis and model performance assessment.
- Deployed machine learning models using Flask and pickle, integrated forecasting models, and utilized AWS for cloud infrastructure management while ensuring data security and compliance.
- Developed monitoring tools, improved data collection procedures, and conducted extensive Exploratory Data Analysis (EDA) to optimize analytics systems and maintain high data accuracy.
- Created end-to-end machine learning workflows with encryption and role-based access control, ensuring HIPAA compliance while working with IT teams to enhance business performance.
- Provided data-driven insights and solutions to leadership teams, enabling informed decision-making by leveraging advanced data visualization tools and predictive modeling techniques.
- Led machine learning projects at ConocoPhillips, optimizing production forecasting, asset management, and operational efficiency while implementing scalable data pipelines on AWS and Azure.
- Applied advanced analytics in the oil and gas sector, handling large datasets, conducting geospatial data analysis, and building predictive models for demand forecasting and equipment failure detection.
- Developed neural network-based models for sensitivity analysis and uncertainty quantification at Adidas, publishing research in the Journal of Neural Networks.
- Strengthened Goldman Sachs’ information security by implementing classification models, real-time data processing systems, and predict
Melake
ML Engineer/ AI Specialist
Experience: 18 Years
TECHNICAL SKILLS
Linear Regression Logistic Regression Support Vector Machines Decision Trees and Random Forests Word Models Word2Vec Fast Text Bag of Words TF/IDF Bert Elmo LDAEDUCATION
Bachelor of Science in Computer Mathematics (Carleton University) - 2005
CERTIFICATIONS
- Certified Platform Developer, Salesforce, Inc.
- Certified Administrator, Salesforce, Inc.
- Certified Omni Studio Developer, Salesforce, Inc.
