Google Cloud Certified AI/ML Consultant proficient in Python, Generative AI, Large Language Models (LLMs: OpenAI, Gemini, Llama), RAG, Langchain, and cloud deployments (Azure, GCP). Expertise in developing conversational AI interfaces, multi-modal systems, and innovative AI-driven solutions for business problems.
- Developed and optimized Retrieval-Augmented Generation (RAG) models, increasing user engagement by 92%.
- Engineered conversational interfaces that integrate structured and unstructured data, improving query efficiency by 89%.
- Deployed multi-modal RAG systems, enhancing solution comprehensiveness by combining text and image analysis.
- Integrated REST APIs (Jira, GitHub), improving workflow automation by 90%.
- Data Transformation & Enrichment Pipeline: Developed an automated pipeline for loading, enriching, matching, and monitoring ERP customer records against Salesforce (SFDC) accounts.
- Implemented generative AI models and web scraping techniques for data enrichment, achieving substantial improvements in data accuracy and operational efficiency.
- Enabled analytics and data operations teams to achieve improved customer master hygiene, resulting in enhanced corporate linkage reporting accuracy.
- Developed Revenue Cycle Management software via EvoluteIQ, streamlining business processes, and reducing manual intervention by 89.8%.
- Conducted comprehensive EDA on weather data, increasing data insight clarity by 95%.
- Acquired proficiency in ML concepts while working on the project, gaining valuable insights into real-world data analysis and visualization.
Programming languages: Python, SQL, JavaScript
Machine learning frameworks: TensorFlow, PyTorch, Keras, Hugging Face
Data libraries: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Langchain, Llama-index, Tesseract
AI techniques: NLP, NER, OCR, GenAI, LLMs, Multi-modal AI, RAG, API integration
Cloud platforms: Google Cloud (Vertex AI), Azure ML
Database management: MySQL, PostgreSQL
Version control tools: Git, GitHub Actions, MLflow