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Mahi Kolla
APM @ Google Colab | HBS 2+2
Professional Background
Mahi Kolla is a dedicated and driven software engineering professional with a robust background in technology and entrepreneurship. Having made significant strides in the tech industry, Mahi has amassed valuable experience through various internships and positions at renowned companies, including Google. As a former Associate Product Manager (APM) at Google, Mahi honed his skills in product development, strategy, and software engineering, contributing to innovative projects that have made a notable impact in the tech ecosystem.
In addition to his hands-on experience in product management, Mahi has also served as a software developer, participating in various internships at Google and other tech-focused organizations. This extensive exposure to the tech landscape has equipped him with a diverse skill set, allowing him to navigate the complexities of software engineering and product development seamlessly. Mahi's entrepreneurial spirit is evident through his co-founding of Hatch, where he applied his technical expertise and leadership abilities to drive the company’s vision forward.
Education and Achievements
Mahi's educational background is as impressive as his professional experience. He is currently pursuing a Bachelor of Science in Computer Science from the University of Illinois at Urbana-Champaign, where he has distinguished himself as an Illinois Enhanced Engineering Scholar. This prestigious recognition reflects his commitment to academic excellence and his passion for technology and engineering.
Before his time at the University of Illinois, Mahi furthered his business acumen by completing a Master of Business Administration (MBA) at Harvard Business School, one of the most esteemed business institutions in the world. This combination of technical knowledge and business insight positions Mahi uniquely, enabling him to understand both the engineering and commercial aspects of tech ventures. His foundational education was also enriched by his experience at The Harker School, where he cultivated a strong intellectual curiosity and a focus on academic achievement.
Engagement in Organizations
Mahi's dedication to professional growth is evidenced by his active involvement in various respected organizations throughout his career. As a Bessemer Engineering Fellow Finalist at Bessemer Venture Partners, he demonstrated his capability to attract and engage with venture capital opportunities, showcasing his interest in the intersection of engineering and business. Mahi also contributed to the tech community as a KP Engineering Fellow at Kleiner Perkins, further solidifying his reputation as a forward-thinking professional in the engineering space.
In various roles, including Partner at OTCR Consulting and COO and Co-Founder of Hatch, Mahi has shown a relentless drive to explore entrepreneurship within the tech industry. His work as a Software Developer at Illinois Labs and as Project Manager at OTCR Consulting reflect his strong technical abilities and organizational skills. Mahi’s internships at Google, including roles as SWE intern and STEP intern, allowed him to immerse himself in cutting-edge technologies and methodologies, setting a solid foundation for his journey in software engineering.
With a track record of founding enterprises, such as Bikeware and The Minty Boutique, Mahi has also demonstrated his inherent entrepreneurial talent. His ability to identify market needs and develop solutions resonates with his overarching goal of making a difference in the tech landscape through innovative entrepreneurship.
Achievements
- Distinguished Academic Pursuits: Current Bachelor of Science - Computer Science student at the University of Illinois at Urbana-Champaign.
- Master of Business Administration: Completed an MBA at Harvard Business School, equipping himself with business management and strategic insights.
- Competitive Fellowships: Finalist for both the Bessemer Engineering Fellowship and the Kleiner Perkins Fellowship, highlighting his standing among elite tech talent.
- Leadership Experience: Co-Founder and COO of Hatch, contributing significantly to the startup's growth and product development initiatives.
- Tech Internships: Multiple internships with Google—including APM, SWE, and STEP roles—allowing him to engage directly with groundbreaking technology projects and build a solid network within the industry.
- Entrepreneurial Ventures: Founded and managed several startups, showcasing his ability to translate ideas into sustainable business models.
Future Aspirations
As Mahi approaches the next chapter of his career, he is keenly interested in securing software engineering internships with up-and-coming tech companies. His ambition is to leverage his technical skills, entrepreneurial mindset, and business education to contribute to innovative projects that shape the future of technology. Mahi is passionate about aligning his
Highlights
It was an absolute pinch-me moment opening my acceptance to the Harvard Business School 2+2 deferred MBA program last month! I could not be more thankful for this incredible opportunity!
The deferred program will allow me to gain work experience for 2-4 years before starting full-time at HBS. I've loved my first few months as an Associate Product Manager on Google Colab, working on all things AI coding. I'm excited to spend the next few years taking risks, being curious, and building cool things!
A quick thank you to my professors, managers, friends, and family who have advocated for and supported me through this application process. Your encouragement and insight mean the world.
Super excited to share our paper "LLM-Mod: Can Large Language Models Assist Content Moderation?" was accepted to and will be presented at the ACM CHI 2024 conference this week!
This paper was a product of Siddharth S. and I's work in Koustuv Saha's CS598: Social Computing class and OnCARE Lab (https://lnkd.in/dteWxZSx). Thank you so much to Professor Saha and Professor Eshwar Chandrasekharan for your support and guidance.
About the paper: Content moderation is critical for maintaining healthy online spaces. However, it remains a predominantly manual task. Researchers have been exploring computational tools to assist human moderators. The natural language understanding capabilities of large language models (LLMs) open up possibilities to use LLMs for online moderation. This work explores the feasibility of using LLMs to identify rule violations on Reddit. We examine how an LLM-based moderator (LLM-Mod) reasons about 744 posts across 9 subreddits that violate different types of rules.
For more details (and our findings!) check out the paper here: https://lnkd.in/de68h3GQ
