How Tejas Jyoti Secured a ₹15K/Month LLM Internship at KPMG Through PW IOI
Starting a career in emerging technology often requires students to go beyond academic concepts and gain exposure to real-world applications. For students interested in Large Language Models (LLMs) and artificial intelligence, an internship can provide an opportunity to understand how these technologies are used in professional environments.
Tejas Jyoti, a student from the PW IOI SOT24 batch at the Bangalore campus, secured an LLM Internship at KPMG with a monthly stipend of ₹15,000. The opportunity marks an early step in his professional journey and gives him exposure to an area that is becoming increasingly relevant across the technology industry.
Tejas Jyoti’s Placement Details at a Glance
Tejas Jyoti secured his internship as part of the PW IOI SOT24 batch. The key placement details are:
|
Placement Detail |
Information |
|
Student |
Tejas Jyoti |
|
PW IOI Batch |
SOT24 |
|
Campus |
Bangalore |
|
Role |
LLM Intern |
|
Company |
KPMG |
|
Opportunity Type |
Internship |
|
Monthly Stipend |
₹15,000 |
From PW IOI SOT24 to an LLM Internship at KPMG
Tejas Jyoti’s journey from the PW IOI SOT24 batch to an LLM internship at KPMG highlights how students can begin exploring specialised areas of technology through internship opportunities.
Large Language Models are an important part of the current AI landscape, with applications involving language understanding, content generation, automation, and other AI-driven solutions. An internship in this area can give students an opportunity to understand how such technologies are approached in a professional setting.
For Tejas, the ₹15,000 per month internship provides an opportunity to gain practical exposure while beginning his professional journey in an emerging technology domain.
How an LLM Internship Can Shape a Student’s Career
An internship focused on Large Language Models can help students understand how concepts related to AI and technology are applied beyond the classroom.
Such an experience can introduce students to professional workflows, problem-solving requirements, collaboration, and the practical considerations involved in working with emerging technologies.
For students interested in AI and machine learning careers, early exposure to specialised roles can also help them understand the areas they may want to explore further as they develop their technical skills.
What Tejas Jyoti’s Success Story Highlights
Tejas Jyoti’s placement demonstrates that internship opportunities can extend into specialised technology domains such as LLMs. His journey also shows how students can use their academic and technical learning as a starting point for gaining professional exposure.
As part of the PW IOI SOT24 batch, Tejas is among students who have secured internship and placement opportunities across different roles. The batch recorded 29 total placements, including 2 IOI internships and 13 external internships.
Conclusion
Tejas Jyoti’s PW IOI success story reflects his transition from the SOT24 Bangalore campus to a ₹15,000/month LLM Internship at KPMG, giving him early exposure to an emerging area of technology. The SOT24 batch recorded 29 placements highlighting the range of professional opportunities available to its students and support from PW IOI.
