Sep 2021 – Aug 2023 · 1 yr 11 mos · San Francisco, California, United States

Mar 2021 – Oct 2021 · 7 mos

Jul 2020 – Present · 5 yrs 11 mos · San Francisco, California, United States

Jun 2019 – Present · 7 yrs · San Francisco Bay Area

Oct 2018 – Sep 2021 · 2 yrs 11 mos · San Francisco Bay Area

• Investing in Machine Learning, Enterprise and Healthcare.
• Vonzos Partners, a venture capital firm with a high-contact and in-person approach, is redefining the industry. Vonzos is both a VC and strategic business growth firm. We also facilitate a non-profit angel group, Vivify Angels. The Vonzos Partners team of approximately 30 experts from investment, executive management, and technology sectors provides coaching, mentoring, and executive leadership to revenue generating companies in the health and wellness and core technology market segments looking to improve momentum. By combining personalized services with the required growth capital, the Vonzos team transforms under-performing companies into high-growth overachievers thereby producing higher rates of return for investors and founders alike.

Jul 2017 – Sep 2021 · 4 yrs 2 mos · San Francisco Bay Area

• Helped set up Cisco Innovation Labs
• Product Management
• Speech Recognition, NLP, Conversational AI, Search & Discovery
• Collaboration products - Cisco WebEx
• Recommendation Engine for CX Learning

Jan 2016 – Jan 2016 · 0 mo · San Francisco Bay Area

• Worked on structured extraction of reading order text in complex documents.
• Surpassed modus operandi results with a 20x smaller dataset by proposing and implementing RNNs instead of N-gram baseline
• Launched as part of the Accessibility tool in Adobe Acrobat
• Initiated and organized a weekly Deep Learning Reading Group (https://adobedeeplearning.splashthat.com/).

Aug 2015 – May 2017 · 1 yr 9 mos · West Lafayette

• Proposed and adapted Event Embeddings for Implicit Discourse Relation Recognition for CoNLL Shared Task
• Implemented 3-layer Neural Network for classification and beat the 2015 Shared Task best results

Jan 2015 – Jun 2015 · 5 mos · Evanston, Illinois

• Worked on multiple projects in the Center for Ultra Scale Computing and Information Security (CUCIS) at the Department of Electrical Engineering and Computer Science, Northwestern University under the supervision of Prof. Alok Choudhary, Prof. Ankit Agrawal and Prof. William Hendrix.

Oct 2014 – Aug 2015 · 10 mos · Remote project

• Analyzed Deep Belief Networks and Restricted Boltzmann Machines on fMRI dataset related to schizophrenia and cocaine addiction patients which improved performance by 10% on a Logistic Regression baseline.
• Work done with Dr. Irina Rish

Jan 2014 – Jan 2014 · 0 mo · Greater Edmonton Metropolitan Area

• This research was supported by MITACS Globalink Fellowship Grant.
• Work done was showcased by BT Edmonton- TV interview; Edmonton Journal- Newspaper article.
• Used supervised and reinforcement learning techniques to best adjust the patient’s current policy, to improve the long-term "reward" using the available data.
• Developed a system- Edmonton Automated Sugar Intelligence (EASI) which recommends insulin based on the patient’s input and settings set up by his/her diabetologist.