Udit
Surat, Gujarat, India
Experience: 1 years
Open to: Full-Time
Education: Masters
Availability: Immediate
Skills: .NET, AWS, Azure, C, Cosmos DB, CPP, Django, MSSQL, MySQL, NumPy, Oracle, pandas, Power BI, Python3, Tableau, TensorFlow
Previously worked at: IT Service Companies, US-based Companies
Assessment Score: 79
- Professional Experience: A Software Engineer with 2 years of experience specializing in AI/ML, developing AI-driven applications, and machine learning models to solve business problems. Previously worked at Xoriant Solutions, contributing to healthcare analytics, data processing optimization, financial management dashboards, and logistics applications for the healthcare industry.
- Technical Expertise: Proficient in machine learning and artificial intelligence techniques, including TensorFlow, Keras, NLP, Generative AI, and LLM using Transformer architecture. Experienced in programming with Python, C++, and R, and skilled in cloud platforms like Azure and AWS SageMaker for model deployment.
- Education and Certifications: Holds an MSc in Computing (Artificial Intelligence) from Dublin City University and a BE in Computer Engineering from the International Institute of Information Technology, Pune. Currently pursuing a Post Graduate Program in Algorithmic Trading to deepen knowledge in financial analytics.
- Academic Projects: Led multiple impactful academic projects, such as Auto Content Extraction using BigBird and T5 models, and ETSY Category Prediction using neural networks and NLP. Additionally, contributed to deep learning projects, such as Malaria Dataset classification with a 96% accuracy rate.
- Achievements and Recognition: Recognized with a “Pat on the Back” award at Xoriant for exceptional work, and participated in a hackathon where a React.js-based platform for farmers secured 3rd place. Earned certifications in Generative AI, Stanford Machine Learning, and Google IT Automation.
- Internships and Contributions: Completed an internship at Nuclear Power Corporation of India, contributing to the development of a Survey Management System, and collaborated on IoT-based tracking applications in the healthcare sector, resulting in improved logistics management and reduced response time.