At Calab.ai, I design and develop cutting-edge Generative AI and automation solutions to optimize operational efficiency for enterprise clients. Collaborating with cross-functional teams, I leverage Azure AI Services and modern DevOps tools to drive innovative digital transformations.

🌟 Led the integration, containerization, and deployment of generative AI models like GANBLR and MedGAN within the Katabatic project, an open-source framework for synthetic tabular data generation.🔧 Technologies: Python, Tensorflow, Docker, MLFlow, API Development, MLOps, and evaluation metrics like Kolmogorov-Smirnov tests and Membership Inference Attacks.✨ Key Achievements:• Resolved complex dependency conflicts to ensure seamless execution of models across environments. • Developed a standardized API template for model integration, improving efficiency in deploying models like GANBLR and MEG. • Designed comprehensive Docker environments for local and cloud deployment, enabling scalability and portability of the framework. 🚀 Overcame challenges in aligning diverse model architectures and dependencies, while mentoring teammates in model setup, API design, and MLOps best practices.🛠️ Role: Led the model integration, containerization (Docker), and API development, ensuring robust, scalable solutions for the team’s synthetic data generation pipeline.👁️‍🗨️ Impact: Delivered scalable, production-ready AI models, enhanced collaboration, and contributed high-quality, reusable code to the open-source AI community.

🚀 Spearheaded collaborative efforts within the design team to create the intuitive UI for Senior Rights Victoria's phone screening portal web app.🛠️ Contributed significantly to the development of a dynamic React web application as part of the frontend team.💡 Led the development of the MongoDB backend, driving the delivery of a robust MERN stack application.👨‍💻 Orchestrated seamless teamwork and technical expertise, resulting in the successful delivery of a user-centric digital solution for Senior Rights Victoria.

As an Artificial Intelligence Engineer at RadicalX, I am leveraging technologies such such as OpenAI, Vertex AI and TensorFlow to develop ReX, an AI Coach who serves as a steadfast career companion for learners, offering personalized coaching, mentorship, and support throughout the various phases of their career lifecycle.

🌟 Developed ‘Interview Assistant Rex’, a generative AI application for Data Analysts’ interview prep, focusing on technical and behavioral skills.🔧 Technologies: Google’s Vertex AI, LangChain and ChatGPT for AI-driven functionality and dataset creation.✨ Key Achievements:• Engineered a feedback module for response evaluation.• Built an interactive chat for explaining complex data concepts with code snippets.• Created a STAR response analysis tool for behavioral question training.🚀 Overcame challenges like a tight one-month deadline and resource limitations, pioneering in a rapidly evolving AI landscape.🛠️ Role: Led AI development and cloud deployment (Docker + Cloud Run), crafting the core functionality and intuitive application design with state-of-the-art models.👁️‍🗨️ Impact: Successfully delivered an innovative, user-friendly tool, demonstrating adaptability and expertise in advanced AI technologies.

• 🚀 Spearheaded development of cutting-edge deep learning models, reducing crop loss by 15% through early pest detection.• 🖥️ Engineered OpenCV modules, boosting crop yield prediction accuracy by 40% from diverse image sources.• ⏩ Streamlined data processes, cutting time-to-market by 30%.• 👨‍💻 Led an AI team to create a prototype with real-time anomaly detection, precise crop yield prediction, and automated pest identification.• 🌐 Explored top-notch agricultural AI tech, keeping the project at the forefront of innovation.• 🌐 Developed a user-friendly React web app with a Flask backend, increasing user engagement by 20%.• 💼 Persuaded investors to test the prototype with real-world data, showcasing substantial yield and cost savings.

• 🛠️ Developed ML pipelines and data visualization strategies, slashing data processing time by 20% for improved efficiency.• 📊 Utilized state-of-the-art ML algorithms, providing valuable insights that elevated decision-making processes.• 🧹 Applied advanced data cleaning techniques, achieving a 15% boost in data accuracy.

• 📱 Led the development of a Bill splitting app from UI/UX design to a full-stack Android application with a cloud backend using Firebase.• 🏆 Achieved Top 5 placement in a competitive mobile application development competition.

• 🛠️ Developed ML pipelines and data visualization strategies, enhancing data understanding and cutting processing time by 20%.• 📊 Utilized advanced ML algorithms for valuable insights, optimizing decision-making processes.• 🧹 Applied effective data cleaning techniques, achieving a 15% boost in data accuracy.