Toyesh Gupta

Founder's Office to CTO @ Raise Financial Services

About

At my core, I love business building — understanding ground up how companies operate, why they succeed, and what it takes to scale them. What excites me most is the idea that with the right use of technology, businesses can achieve things that once seemed impossible. I’m especially passionate about AI and emerging tech — fascinated by what they’re capable of today, and even more by what they can unlock tomorrow. With experience in LLMs, coding, and data-driven systems, I enjoy exploring how technology can be applied in practical, high-impact ways to transform organizations. For me, this journey is about learning, experimenting, and creating — blending curiosity for business with a drive to harness technology as a force for change. Earlier, I had the chance to work at The Coca-Cola Company, where I contributed to data workflows in Azure and projects involving Generative AI and LLMs — an experience that reinforced my belief in the power of data and tech to shape the future.

Country

India

City

Mumbai

Industry

Financial Services

Skill

Large Language Models (LLM), PyTorch, Keras, Machine Learning, Quantitative Analytics, Data Manipulation, Unsupervised Learning, Object Detection, Statistical Analysis, Exploratory Data Analysis, Business-to-Business (B2B), Optimization Strategies, Data Pipelines, Data Analysis, Business Analysis, Prompt Engineering, Data Engineering, Image Processing, Python (Programming Language), SQL

Experience

Founder's Office to CTO

Raise Financial Services

2025-5 - Present · 1 yr 5 mos

Mumbai, Maharashtra, India

Intern - Financial Transformation

2025-1 - 2025-4 · 4 mos

Gurugram, Haryana, India

Intern - Data and Analytics - IT Svs

The Coca-Cola Company

2023-9 - 2023-12 · 4 mos

Gurugram, Haryana, India

Worked with spark technologies and workflow, Data Analytics in the synapse workspace on synapse notebooks using spark and SQL pools. Conducted data cleaning, development and implementation of analysis tools based on business needs, conducted EDAs to gain insights, building data pipelines and DQ checks. Worked through various file structures that use excel, csv, flat files, parquet and delta files. Made dynamic workflows and pipelines in azure environment, bringing data from SQL db to host the same data in adls gen2. Worked with facts and dimensions, structured and unstructured data, made Data Lake and Data Warehouse. I also worked with various datatypes in analytics, prompt engineering, Generative AI, corporate implementation of RNN, LLN with RAG solution, Domain expertise in FMCG with various kinds of products comprising of FG and gift items. Knowledge on supply chain management system, master data management (MDM), 445 calendar, etc.