Bhakti Ukey

I specialize in developing innovative, domain-specific AI solutions using open-source models and advanced technologies. My role involves: ● Model Development: Building and fine-tuning machine learning models tailored to industry-specific tasks, leveraging frameworks such as PyTorch and TensorFlow. ● Retrieval-Augmented Generation (RAG): Implementing RAG pipelines to enhance search and recommendation systems by combining large language models (LLMs) with domain-relevant datasets. ● Inference & Optimization: Optimizing model performance for scalable and efficient inference across diverse use cases. ● Cloud Integration: Utilizing AWS SageMaker and other cloud platforms for seamless model training, deployment, and monitoring. ● Computer Vision Applications: Developing advanced computer vision models for tasks such as image recognition, object detection, and segmentation. ● Collaboration: Partnering with cross-functional teams to ensure AI solutions align with business objectives and deliver tangible value. By blending open-source innovation with state-of-the-art technologies, I contribute to crafting impactful AI-driven solutions that empower businesses and transform industries.

Received a promotion within 6 months of joining the company ● Demonstrated administrative, organizational, and coordination skills of a high order, focusing on the ability to plan, coordinate and prioritize training and company KPIs ● Managed employee training for 10 new hires, over 17 months offering continuous guidance and mentorship on best practices while providing constructive feedback ● Remodeled data in Python delivering more than 20 ad-hoc reports, saving over 8 employee hours per week ● Led the team in creating a scrap reduction process using data analytics in SQL/Python, resulting in operator waste reduction by 16% ● Received a promotion within 6 months of joining the company

● Devised KPIs using SQL across the company website in collaboration with cross-functional teams to achieve an 80% jump in traffic ● Analyzed current and past financial data and performance across 2+ departments and 5 teams ● Performed advanced comprehensive business analysis using statistical analysis, explanatory, and predictive modeling ● Developed root cause reports addressing problems with customer conversions, successfully revealing insights that boosted conversion by 20%

Acquired sound theoretical knowledge and advanced analytical skills required to work in the complex, challenging and important field of finance, economics and public policy.

Gained valuable skills in data analysis, programming languages listed below; Languages: C, C++, JAVA, Python, HTML, SQL. Statistical software: R, Excel, Microsoft, MATLAB, STATA. Databases: MySQL, Oracle.