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Surya Dantuluri
founder
Professional Background
Surya Dantuluri is a prominent figure in the field of technology and entrepreneurship, with over a decade of experience in driving innovation and delivering exceptional results in various capacities. He is well-known for his leadership in technology startups and his ability to navigate complex business landscapes, demonstrating a strong entrepreneurial spirit and strategic thinking. Throughout his career, Surya has held key positions in reputable organizations where he has consistently demonstrated an aptitude for problem-solving, project management, and enhancing operational efficiencies.
Surya started his professional journey with a firm commitment to understanding the intricacies of technology and its impact on business. His work experience spans various industries, including software development, information technology, and digital marketing, which has equipped him with a diverse skill set and profound insights into technological advancements.
Education and Achievements
Surya Dantuluri boasts an impressive educational background that serves as a foundational pillar for his professional achievements. He earned a Bachelor’s degree in Computer Science Engineering from a prestigious institution, where he demonstrated exceptional academic prowess. His education provided him with a robust technical foundation that he has successfully leveraged throughout his career.
In addition to his degree, Surya has undertaken various certifications to stay ahead in the rapidly evolving tech landscape. His commitment to lifelong learning has empowered him to adapt to new challenges and seize opportunities in the digital realm.
Notable Achievements
Surya's dedication and innovative approach have garnered him several accolades and recognition in the industry. He is known for his ability to lead teams to success, having spearheaded numerous projects that have transformed businesses and pushed the envelope in technology adoption. His remarkable leadership skills are complemented by his collaborative approach, enabling him to work effectively with diverse teams and drive collective success.
Throughout his career, Surya has made significant contributions to developing cutting-edge software solutions that have enhanced user experiences and improved operational efficiencies for organizations. His projects have not only yielded tangible results but have also paved the way for future innovations in technology. Surya’s work has gained recognition from his peers and stakeholders alike, establishing him as a thought leader and influencer in the tech space.
In addition to his professional accomplishments, Surya actively participates in mentorship programs and community initiatives, sharing his expertise and insights with aspiring entrepreneurs and technology enthusiasts. He is passionate about fostering an inclusive environment for innovation and technology education, advocating for diversity in tech to drive holistic growth and development across various sectors.
Highlights
Introducing vmux - incredibly fast, stateful cloud sandboxes for coding agents
for the first time you get persistent GPU/CPU sandboxes via Modal/CF backed by Durable Objects to stream logs live, native preview URLs, and attach a real shell
spin up a notebook or train nanogpt via codex - with a Modal sandbox spun up in seconds
six years ago i was supposed to be writing my college apps. instead, right before the deadline, i was debugging a gpt2 fine-tune in colab. it felt begrudgingly more interesting; later that year i made a gpt-2 wrapper warning about impending slop seen by 3m ppl, then a gpt-3 wrapper at a lab at mit i was interning at, then gpt-4, 5, o1, and so forth; unwrapping the underlying capabilities
its becoming more clear that most models' shape is different and non spherical. the capabilities you can evoke out of it is up to how well you feel the limits-- both literal safety limits and the leverage you can induce
claude code in feb 2025 was a perfect example where the underlying model's capability was evoked with extremely high fidelity through a simple interface. for the first time an economically relevant wrapper, which now is baked into the model itself
the speed of iteration made academia or industry not make sense imo-- i could get by tinkering on my ideas spending $0, living off credits and getting better at sniping and implementing new ideas. only recently have i had access to real compute and the leverage feels immense now that i can see my ideas start tuning frontier models and new pre-training techniques
the ideas from the past few years havent been that interesting imo besides throwing more money and compute. this leverage combined with great ideating is rare. for me it took over 40 projects over the past 36 months https://t.co/nclnF4mjUw ranging anywhere from 12 weeks to 8 hours -- to start getting comfortable training
the long tail is idea people who can feel the model generating against massive compute while everyone else at the company tunes those ideas to work at scale
you can probably learn this a lot faster now that you have a copilot for $200/mo you can constantly iterate against but maybe theres some learnings from when the models were bad enough you had to fight them. i dont know if it teaches the same thing. i dont know how long any of this matters. all i know is the leverage is real if you can feel the model and have ideas worth generating