I am an entrepreneurial-minded, technology-driven, problem-solving enthusiast, who is on a journey to fulfill his dreams of being a top-notch technology professional. I am someone who loves to know and implement the bleeding edge of his interests in technology. I am an advert clean code maniac, who loves to implement the perfect application. #refactorAsYouWrite
I love photography and learning new ways to better my leadership skills (Triple-crowned Toastmaster 😎) in the societies/clubs in which I hold positions of responsibility. I specifically enjoy collaborating with people on problem that need deep thinking.
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🧑💻 Applied Scientist 👨🏫
📍 San Francisco, CA 🌉
📆 Feb 2023 - now
As an applied Scientist my primary work is two folded:
Firstly, I collaborate with other researchers on building machine learning models meant to improve Ripple's solutions for facing digital asset markets. This requires me to apply my ML modeling and statistical analysis skills to translate business problems into machine learning problems in order to develop optimal solutions.
Secondly, I contribute to tooling that allows for the above models to be built/experimented on at scale using our own Experimentation Bench. Once a good enough model is built, I also contribute to making sure the models are seamlessly deployed into production. This allows me to tackle real-world issues such as missing or inconsistent data, its latency, and data cleanness efforts. Continuous deployment and experimentation keeps me close to the source of truth, its speculations and its results.
Apart from the above, I also lead and collaborate on the AI (read LLM) application efforts in the company on varied use cases. Our latest effort is on LLM fine tuning (or its need thereof) to help builders with improving code coverage across our proprietary codebase in our own style of codebase maintenance.
🙇♂️ Graduate Research Assistant 🧐
📍 Pittsburgh, PA ⛷️
📆 Aug ‘22 - May ‘23
I am working on a Few Shot discriminative feature representation learning model for audio classification with minimal data.
🧑🔬 Applied Science Intern 💰
📍 San Francisco, CA 🌁
📆 May ‘22 - Aug ‘22
Working with the wonderful ML/AI Applied science team at Ripple for Automated Trading use case.
BRB asking my manager how much can I disclose 😄
🧑🏫 Teaching Assistant 🙇♂️
📆 May ‘22 - now
📍 Pittsburgh, PA 🇺🇸
Proudly, TA for the most acclaimed class for Deep Learning on the Planet. Prof. Bhiksha Raj has been taking this legendary class for years, and for the fall of 2022, I with my TA Group is helping him in designing the lectures, the home works, the support mechanisms, and the infrastructure to bring the most rigorous coursework on Deep Learning anywhere.
👨🏽🔧 Technology Support Associate 🎛
📍 Pittsburgh, PA 🇺🇸
📆 Jan ‘22 - Apr ‘22
For a long time, I have wanted to know if Innovation can be dealt with as if it were a process. Being at CMU, I thought I should be able to learn it somewhere right? Arguably one of the most innovative schools on the planet. Post some research, I found out Prof. Jason was teaching, one last time, his famous Grand Challenge Innovation class in the spring of 2022 at CMU. I had to take it. Unfortunately, I had already overbooked myself for the spring and could not have taken his class. Rather, I applied to help him with Technology setup throughout the semester! I got paid to attend his brilliant class. What more could I ask? What I learned:
👨🏽💻 R&D Engineer 🔍
📍 Bangalore, India 🇮🇳