As an AI/ML Developer with a specialization in Large Language Models (LLMs), Generative AI (GenAI), and Data Science, I bring a proven track record of designing and deploying cutting-edge solutions that transform raw data into actionable insights. With 4+ years of experience, I’ve worked across industries like healthcare, e-commerce, and IoT, delivering scalable, innovative systems that drive measurable impact.
Key Skills & Expertise
LLMs & Generative AI: Fine-tuned GPT-style models (e.g., Llama, Hugging Face Transformers) for tasks like text generation, summarization, and sentiment analysis. Built Generative AI applications using GANs and diffusion models for synthetic data generation, enabling robust training datasets while ensuring privacy and compliance.
Machine Learning: Developed 95.13%-accurate models for medical imaging (e.g., pediatric brain tumor segmentation) and real-time recommendation engines that boosted user engagement by 30%.
Data Science: Designed end-to-end data pipelines using Python, Pandas, and PySpark, enabling efficient data preprocessing, feature engineering, and visualization. Created interactive dashboards with Power BI and Looker to deliver insights to stakeholders.
Cloud & MLOps: Deployed scalable AI systems on AWS and GCP, leveraging Kubernetes for orchestration and MLflow for experiment tracking. Automated CI/CD pipelines with GitHub Actions and Argo CD to ensure seamless model deployment.
Programming & Frameworks: Proficient in Python, TensorFlow, PyTorch, and LangChain, with hands-on experience in vector databases (Pinecone) and multi-agent systems.
Deliverables
Why Work With Me?
I thrive at the intersection of innovation and impact, blending technical rigor with creative problem-solving to deliver solutions that matter. Whether it’s optimizing LLMs for personalized recommendations, building scalable MLOps pipelines, or unlocking insights from complex datasets, I bring a results-driven approach to every project.
Let’s collaborate to turn your data into innovation!