As a CTO at Rhazes AI, I helped building a revolutionary clinical support and intelligent scribe system for doctors - hundreds of doctors use our regulatory compliant web-app every day. I possess extensive knowledge and experience in analyzing biological and financial data, drawing actionable insights from it and forecast future trends. I used NLP, LLMs, image recognition and state of the art machine learning techniques a lot throughout my career. I am proficient in the common statistical learning libraries in Python (tensorflow, pytorch, scikit-learn) and have a deep technical understanding about the way machine learning algorithms work as I have coded up many of them from scratch. I worked at JP Morgan, BNP Paribas and Deutsche Bank as a Quant and Data Scientist, participated in eight successful research projects, co-authored three scientific journal articles and one conference paper. I spoke at the largest European protein conference in Barcelona (PEGS 2022), the first AI in Medicine conference in Singapore (AIM 2023) and I am invited to speak at the 22nd International Conference on AI in Medicine in Salt Lake City (AIME 2024) about Rhazes Clinician. I enjoy gaining new skills: I have three Masters degrees and completed over 25 Coursera courses including 5 specializations. Visit https://github.com/sarvarip to check out some of my projects!
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Founding Operations LeadElyos AiLondon, Gb -
Co-Founder And CtoRhazes Ai Apr 2023 - PresentLondon, GbRhazes AI is a revolutionary clinical decision support and intelligent scribe system that helps doctors globally with diagnosis, documentation and patient management. Sign up at clinician.rhazes.ai -
Trader / Operations ManagerRevolut Oct 2023 - Jan 2024London, England, GbWithin the Market Making team, I was one of the 4 people responsible for all of the FX trades within Revolut.- Traded Spots, Futures and NDFs for Market Making- Traded FX Swaps for the Chief Investment Office- Implemented Real time Delta PnL calculation across all books and entities in Revolut- Backtested hedging strategy parameters and then refined the hedging strategy- Provided crypto, overnight and weekend trading support- Held responsibility for booking trades in the system and settling with counterparties -
Founder-In-ResidenceEntrepreneur First Feb 2023 - Jul 2023London, GbSelected from 1000+ applicants to join Entrepreneur First’s platform and work with a community of entrepreneurs and leading advisors to find a co-founder, and build a company from scratch. -
Etrading QuantBnp Paribas Apr 2022 - Apr 2023Paris, FrPart of the eFIC team, where my fair value model improved the End Of Day Investment Grade ETF Net Asset Value estimate by more than 20% R2. Tasks included the followings:- Development of fair value models for bonds and ETFs- Electronic trading book monitoring and reporting of KPIs- Rigorous evaluation of existing trading algorithms- Development of optimal risk / hedging strategy using a dynamic covariance matrix- Setting up the trading algorithms for bonds denominated in GBP- Member of Early careers network steering committee -
Associate In Quantitative ResearchJ.P. Morgan Oct 2020 - Apr 2022New York, Ny, UsWithin the Credit QR team, I built tools used by Credit traders in the bank every day: I designed an automated marking algorithm, accompanied by a software and an automated quote offset tool. I also provided support for existing bond analytics and pricing tools.Within the Systematic Market Making team, I created and maintained automated reports on:- Internal order book utilization- Market share estimation for ETF create/redeem- Breakdown of Risk and PnL by sector, duration, rating and geography- Government bond spread trade ideas for emerging markets -
Teaching AssistantUniversity Of Southern California Aug 2020 - Nov 2020Los Angeles, Ca, UsTeaching BISC-120 General Biology: Organismal Biology and Evolution Laboratory -
Research Assistant In Computational BiologyUniversity Of Southern California Aug 2018 - Nov 2020Los Angeles, Ca, UsViterbi fellow 2018/19 and 2019/20Ambassadors of the Future Award Recipient 2019, 2020Melady lab: Classified and found potential novel insecticidal proteins using deep learning and natural language processing (https://www.kaggle.com/code/petersarvari/protcnn-fast/notebook)Smith lab: Analyzed WGBS data (alignment, annotation), built regularized linear, partial least squares, logistic and binomial regression models for DNA methylation data: linked sperm methylation to age, body mass index and other characteristics; tested software for methylome analysis using a high-performance computing cluster and bash scripts Kuhn lab: Queried the lab’s database and constructed deep learning models for cancer progression using copy number variation and imaging mass cytometry data
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Yoga InstructorUniversity Of Southern California Jul 2019 - Mar 2020Los Angeles, Ca, UsTeaching two Yoga Sculpt classes a week and occasionally teaching additional Vinyasa Flow Yoga classes
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Ai And Machine Learning Summer AssociateJ.P. Morgan Jun 2020 - Aug 2020New York, Ny, UsCredit Quantitative Research: Analyzed credit ETF compositions and used multivariate time-series modelling to construct and optimize investment grade bond portfolios
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Undergraduate Research AssistantImperial College London Oct 2017 - Jun 2018London, GbEstablished the first stochastic bacterial whole-cell model that takes varying codon translation rate into account and can be used to reproduce experimentally observed phenomena. Paper published. -
Visiting Summer ResearcherMassachusetts Institute Of Technology Jul 2017 - Oct 2017Cambridge, Ma, UsCreated a parallelized machine learning pipeline in Python to predict peptide therapeutic activities using self-normalizing neural networks with dropout and transfer learning. It achieves the highest known prediction result in literature for 5 activities. -
Undergraduate Research AssistantImperial College London Sep 2016 - Jun 2017London, GbSystems medicine for Atopic Dermatitis: analyzed a clinical dataset, found severitybiomarkers using statistical learning methods (SVM, neural networks, linear regression, unsupervised learning) as well as hypothesis tests and optimized parameters for the AD treatment model based on the clinical data. Paper published.
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Summer AnalystDeutsche Bank Jun 2016 - Aug 2016Frankfurt Am Main, Hessen, DeInterned the Regulatory Control Team within the Technology DivisionDevelopment of an automated Python web scraper and editing data tables using pandasReceived full-time job offer at the end of the internship -
Student Brand ManagerBigchoice Group Sep 2015 - Jun 2016London, Greater London, GbIncreasing brand-awareness on campus by using personal network across the University, and assisting promotional campaigns throughout the year -
Lead Technical Development EngineerPeddle Concepts Ltd Sep 2015 - Nov 2015Design of a solar powered atmospheric monitoring device using Arduino microcontroller
Peter Sarvari Skills
Peter Sarvari Education Details
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University Of Southern CaliforniaComputational Molecular Biology & Bioinformatics -
University Of Southern CaliforniaStatistics
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Imperial College LondonBioengineering
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Elte Apaczai Csere Janos Secondary SchoolHungarian Matura
Frequently Asked Questions about Peter Sarvari
What company does Peter Sarvari work for?
Peter Sarvari works for Elyos Ai
What is Peter Sarvari's role at the current company?
Peter Sarvari's current role is Founding Operations Lead.
What schools did Peter Sarvari attend?
Peter Sarvari attended University Of Southern California, University Of Southern California, Imperial College London, Elte Apaczai Csere Janos Secondary School.
What are some of Peter Sarvari's interests?
Peter Sarvari has interest in Social Services, Education, Children.
What skills is Peter Sarvari known for?
Peter Sarvari has skills like Machine Learning, Biomedical Engineering, Matlab, C, C++, Prolog, Microsoft Excel, Orcad Capture Cis, Pcr, Science, Simulink, Ltspice.
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