Vikash Singh Email & Phone Number

First investment team hire at Stillmark, the world's first Bitcoin focused venture capital firm. Leading technical research on Bitcoin/Lightning protocols, developing investment theses, assisting portfolio companies with technical leadership (research and engineering), strategy/business development, and managing deal flow pipeline. Board Observer: Ibex.

Angel investing in my phenomenal/inspiring friends and former colleagues mostly.Extropic (Thermodynamic Compute/Machine Learning) - Guillaume Verdon aka "Beff Jezos"Neptune (LLMs for Prenups/Therapy) - Ricky KirkendallSilurian AI (YC 24 Geo Foundation Models) - Cristian Bodnar

Mountain View, CA, US

Technical consultant and advisor for a confidential (Google) X moonshot in machine learning and biotechnology for which I was previously on the founding team of (2019) in the rapid evaluation stage of the pipeline. The project spun out into an independent venture backed startup in 2024 (TBA).

Mountain View, CA, US

Returned to work on a confidential machine learning and biotechnology moonshot for which I previously was on the founding team of in the Google X early pipeline as an AI Resident in 2019 and served as a machine learning consultant on for a couple years. Splitting time with Sandbox@Alphabet. Collaborations with Deepmind and Google Research (Tensorflow.

Mountain View, CA, US

After a successful side project (QGNN) with the Sandbox group in 2019, I was offerred to come work them on a confidential project in AI for quantum navigation and quantum machine learning at Sandbox@Alphabet. prior to starting full time at Stillmark.Sandbox@Alphabet is a team working at the nexus of physics and artificial intelligence. Sandbox@Alphabet has.

Los Angeles, California, US

• Returned to Heal prior to the Series D financing to lead all things AI/ML directly reporting to the CTO (acquired by Humana in 2022), while retaining a consulting/advisory role for my old project at Google X. We had.
• Spearheaded development and execution of Heal AI Roadmap, including deliverables related to routing and optimization updates, machine learning development and deployment across all Heal verticals (logistics, insurance.
• Co-created and led engineering efforts for in-house autonomous routing engine, which autonomously routed doctors for 300,000+ doctor house-calls/telemedicine visits across the country.
• Led development of all production machine learning systems, including those for visit duration prediction, and insurance reconciliation, entity extraction from insurance cards (patent filed), ICD-10 prediction, etc.
• Led partnerships in ML collaboration with Humana ML team after Series D investment on risk stratification, and managed relationships between 3rd party ML services for potential integration with Heal.

Mountain View, CA, US

• Consultant (5-10 hours a week) for the same Google X project I assisted in launching as an AI Resident in the early pipeline, as it matured from a rapid evaluation project to a more mature project.
• Provided assistance on technical strategy to both project lead and project engineers/machine learning scientists and actively served as a technical contributor on machine learning/deep learning models. Project details.
• Additionally serving as an external collaborator with Sandbox@Alphabet (spun out of Google X) on a couple quantum machine learning projects after successful quantum graph neural network (QGNN) project during Google X.

Mountain View, CA, US

• Served as a project founding technical lead as an AI Resident on a rapid evaluation stage team at X (formerly Google X), Google's semi-secret research and development lab working on a confidential moonshot project at.
• Led machine learning for an early pipeline project, designing machine learning strategy, overseeing data collaborations, developing the machine learning pipeline from scratch, and managing team of 3 machine learning.
• Multiple invention disclosures submitted and non-provisional patent pending in machine learning.
• As a side project, worked with the founders of Tensorflow Quantum on the quantum artificial intelligence team at Google X (in collaboration with Google AI) to create quantum graph neural networks.

Los Angeles, CA, US

• Driving the next generation of AI-driven healthcare all around the globe.
• I started this company the summer after my freshman year in college with 15k in funding via Stamps Foundation scholarship enrichment funds and UCLA Global Citizens Fellowship after realizing the research in.
• Partnered with Songhai Labs in 2016, an initiative that connects global tech innovators and inventors to opportunities in developing nations to alleviate poverty and improve the quality of life. Through a partnership.
• Partnered with Ministry of Health (Cameroon) and the World Health Organization (WHO) Office Cameroon to implement enhanced surveillance software for infectious diseases (https://arxiv.org/abs/1910.07741).
• Created Datareach Labs, private research lab that works on machine learning for healthcare in partnership with leading researchers, releasing papers in chronic kidney disease/machine learning.

Los Angeles, California, US

• Joined company at the seed stage my sophomore year of college when it had 6 employees and worked on it for 2.5 years as an undergraduate student, between 10-30 hours per week during school, and full time during breaks.
• Built/architected Python microservice for autonomous routing of all doctors in all Heal geographies, utilizing Docker, Azure ML, Dynamo DB, MongoDB, Redis, and SQS message queues. Utilized constraint satisfaction and.
• Built and deployed production level predictive models using Azure to predict visit duration for routing algorithm optimization, and for billing reconciliation (to be patented by Heal Inc.) Pitched and prototyped.
• Used Periscope and Metabase to build out pipelines (SQL) for reporting in coordination with business development and product teams

• Fellowship at venture capital firm (the Bitcoin VC firm) focused on Bitcoin technology under the mentorship of GP Alyse Killeen.
• Gained experience in performing due diligence/technical analysis on incoming deals (details under NDA) and learned general deal flow process
• Gained expertise in Bitcoin technology, applying technical background to understand innovation in the space including Lightning Network, and sidechains (Liquid Network).
• Met with founders both in person and via phone calls to attend pitch meetings and participate in due diligence.

• Led artificial intelligence/machine learning at early stage nanotechnology startup in college focused on early detection of non-alcoholic fatty liver disease (NAFLD) using my combined research experience spanning ML.
• Worked with collaborators including UCSD and University of Massachusetts faculty on experimental design for machine learning and Surfaced Enhanced Raman Spectroscopy (SERS) based NAFLD detection.
• Delivered vision of AI platform combined with Raman SERS to prospective investors and advisors (venture capital firms and angel investors) alongside the CEO, including at JP Morgan Healthcare Conference 2018 in SF.

Through the Stamps Scholarship program, I had the privilege of joining a fellowship program for undergraduate engineering students focused on connecting them to the startup ecosystem in Los Angeles (including founders and VCs). We had monthly meetings with founders and VCs learning about their journeys and insights on entrepreneurship. It was through this.

Los Angeles, CA, US

• Worked with Dr. Piotr Slomka, research scientist at Cedars Sinai Medical Center and Professor at the UCLA David Geffen School of Medicine, on artificial intelligence applications in nuclear cardiology. It was here I.
• Deep transfer learning ensemble methods to predict obstructive disease in patients who had myocardial perfusion SPECT performed on them. Developed ensemble of VGG 16 neural networks using Theano (worked for two years.
• Stability analysis of evaluation of metrics for evaluating machine learning models in medical imaging. Performed experiments/statistical analyses comparing independent AUC curves, demonstrating the impact of seed.

Los Angeles, CA, US

Conducted wet lab molecular biology research for 3 years as a high school student under the mentorship of Dr. Meher Parveen in the field of breast cancer on a project that successfully identified mitochondrial targets of the Arginase enzyme using a proteomics approach (published PloS ONE Nov. 2013). The second project included verifying the anti-cancer.

Los Angeles, CA, US

Conducted research in resonance cone behavior and cold plasma dispersion relation as a high school student (freshman and sophomore year) through UCLA's LAPTAG program along with Dr. Walter Gekelman and Dr. Patrick Pribyl. Had the privilege to attend physics lectures and assist in running experiments on Saturday mornings at UCLA Basic Plasma Science.

Burbank, California, US

Started playing the trumpet when I was 7 and had fun exploring my passion for music as a kid. When I was 14, I was hired by Disney XD (first ever paid job!), an American digital cable and satellite television channel that is owned by the Disney Channels Worldwide unit of the Disney–ABC Television Group, as a musician and commercial performer (1st Trumpet).

Doctor Of Philosophy - Phd, Computer Science (Machine Learning)

Master Of Philosophy - Mphil, Advanced Computer Science (Machine Learning)

Bachelor Of Science (B.Sc.), Computational Biology

Educational Program For Gifted Youth (Epgy) Online Coursework, College Level Proofs, Geometry, Physics For Middle/High School Students

Hs Diploma