Current Role
Kashish Jajodia is the Chief Technology Officer (CTO) at [Draup](https://draup.com/), where he leads the technology and machine learning teams. He is responsible for building next-generation Artificial Intelligence (AI) and Machine Learning (ML) based enterprise decision-making platforms.
Professional Experience
- Draup: As the CTO, Jajodia has significantly enhanced the company’s technological capabilities. Notably, he has cut down the development time for a product module from several months to just 5 hours through the integration of AI. This improvement has increased productivity by 87%, accelerating time to market.
- Goldman Sachs: Jajodia served as a Senior Technical Lead and Technology Analyst, specializing in Quantitative Investment Strategies.
- Delta: He gained experience as an Application Developer.
- NIT Trichy Entrepreneurship Cell: Vice President, leading brand development efforts.
Education
- National Institute of Technology, Tiruchirappalli (NIT Trichy): Bachelor of Technology (B.Tech) in Computer Science and Engineering.
Location
- Based in Bengaluru, Karnataka, India.
Professional Contributions
- Thought Leadership: Participated in notable events such as AWS & CNBC-TV18's Roundtable discussing "Generative AI & ITes Dynamics," where Draup introduced 8 new AI models within a year.
- Publications: Shared insights on building team culture and the strategic importance of AI in enterprise decision-making through various platforms including LinkedIn.
Contact Information
- Available for professional connections on [LinkedIn](https://in.linkedin.com/in/kashish-jajodia).
Notable Achievements
- AI Efficiency: His work in AI has received recognition from industry leaders, such as the CEO of Zinnov, who praised his AI efficiency achievements.
- Podcasts & Media: Featured in professional podcasts, notably discussing strategies for dealing with malware and the role of AI in tech innovation.
Kashish Jajodia's profile reflects a robust blend of technical expertise, strategic leadership, and impactful contributions to the tech and AI sectors. His role at Draup demonstrates his ability to drive efficiency and innovation in AI, making him a key figure in the company's technological advancements.
