2023-2023

Generative AI Intern at Amare

• Built a model & maintained data pipeline to predict success of potential matches of personality traits, Leveraged NLP for the analysis and comparison of personality traits, resulting in enhanced application performance and efficiency. • Developed & implemented GPT prompts to automate repetitive tasks, resulting in a 40% improvement in operational efficiency. • Continuously tested & optimized GPT prompts using OpenAI API for improved performance, driving enhanced accuracy. • Created ETL workflows to extract data from 30 sources, transform it into a standardized format, and load it into a data warehouse for further analysis.

2021-2021

Software Developer at ThinkingHut IT Solutions

• Designed a powerful data reporting dashboard for submarine IoT data with millions of records, collaborated with data scientists to develop & deploy a statistical analysis model on extensive data, resulting in a 60% increase in operational efficiency. • Cleaned 10,000 rows of data by using conditional formulas and data transformation methods using SQL complex queries. • Prepared questions to consult with CEO and CMO to better understand the company’s vision and the KPI. • Developed & upheld 10+ unique dashboards and reports utilizing Tableau, aimed at ensuring data quality, usage patterns, & performance metrics. • Led a team in developing and implementing a forecasting model that increased business performance by 70%.

2019-2021

Software Developer at Simplicity Creations

• Designed and implemented a complete Machine learning architecture pipeline from scratch utilizing Machine Learning Operations (MLOps) pipelines and procedures that helped interns and coworkers add new functionality. • Collaborated closely with a team of over 10 data scientists, bridging Business requirements into technical specifications, refining data models, and shaping data architecture to meet their analytical needs. • Used advanced Excel formulas such as pivot tables, imports, VLOOKUP's & functions to extract meaningful insights. • Developed a prototype to identify key influencers on Twitter using clustering techniques over 100,000 data points in Python. • Contributed to driving business growth through the generation of data-driven hypotheses and insights.

2024-Present

Machine Learning Engineer II

- Implemented advanced AI technologies to deliver real-time feedback for Accentra.ai's language learning app, contributing to a 30% enhancement in users' speaking abilities, utilizing PyTorch and Flask. - Collaborated closely with the software engineering cross-functional team, integrating machine learning algorithms seamlessly into projects and products, increasing user engagement by 25% through improved speech pattern recognition.