Nov 2024 – Sep 2025 · 10 mos · Kozhikode, Kerala, India · On-site

• Developing and fine-tuning machine learning models to solve real-world problems.
• Analyzing complex data and extracting valuable insights using AI tools.
• Collaborating with experienced professionals in a fast-paced, innovative environment.
• Gaining hands-on experience with various AI/ML frameworks like Python, TensorFlow, and more.
• This internship will not only help me sharpen my technical skills but also give me the chance to apply my knowledge of data science and algorithm development in impactful, real-world applications.

Feb 2023 – Nov 2024 · 1 yr 9 mos · Hosur, Tamil Nadu, India · On-site

• The Innovation/Startup fellowship program, ProtoSem is a 20-week, full-semester course, during which students are nurtured & guided to develop core technical concepts and key engineering skills and are transformed into 'Innovation Engineers'. We work as a team with students from different engineering/technical/science streams, towards designing, developing, and testing an innovative tech-enabled solution to solve a real-world problem (the Minimum Usable Prototype to test the technical feasibility and commercial viability of the product innovation) sponsored by the industry, government, or social sector, etc. We are guided to solve real-world challenges using the tools enabled by hardware, software, and computing technologies, and to evolve as Graduate Innovation Engineers and fully *rounded professionals with more balanced skills in the Innovation, Technology, and Engineering talent dimensions. We gain skills and competencies to transform ourselves into creative problem-solvers, capable of building deployable/usable prototypes, selecting and applying technology to create cost-effective solutions, and are aware of the tools and techniques of managing the process of innovation to mitigate and reduce risks. We innovate and design solutions by setting and achieving metrics in customer development & discovery, value-proposition validation, market definition & sizing, customer acquisition, revenue model & competition analysis.