Shubham Jain

Product Engineer

San Francisco, California, United States3 yrs experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Dual degree in Computer Science and Economics.
Expertise in AI and trading algorithms.
Proven success in enhancing student performance.

Stackforce AI infers this person is a Fintech and AI specialist with a strong quantitative background.

Contact

Skills

Core Skills

Financial MarketsDiscrete MathematicsMachine LearningSoftware Development

Other Skills

Agile MethodologiesArtificial Intelligence (AI)C++CombinatoricsComputer ScienceElectronic TradingGame TheoryMarket ResearchPortfolio ManagementProbabilityProbability TheoryQuantitative AnalyticsQuantitative trading

About

UC Berkeley alum with a dual passion for computer science and economics. Navigating the nexus of AI and trading with fervor. Certified Future and Options Analyst

Experience

Flexpower

Quantitative Research

Nov 2023 – Present · 2 yrs 4 mos · Hamburg, Germany · On-site

Ethos diamonds

Director

Jun 2023 – Present · 2 yrs 9 mos

Trexquant investment lp

Quantitative Research Intern

May 2021 – Jul 2021 · 2 mos · Greater London, England, United Kingdom · On-site

• Tasked with identifying and exploring unconventional data sources with the potential to enhance our trading algorithms. This required a creative and analytical approach to discover non-traditional datasets that could provide a competitive edge

Financial MarketsGame Theory

Uc berkeley electrical engineering & computer sciences (eecs)

Graduate Student Instructor Discrete Mathematics

Aug 2020 – May 2021 · 9 mos · Berkeley, California, United States · On-site

Supported Course Instruction, hosted office hours, and provided personalized assistance to students
Evaluated assignments, quizzes, and exams, offering constructive feedback to drive student success
Improved weekly test scores of 45 students by an average of 30% compared to the rest of the c lass of 800+ students

Discrete MathematicsProbabilityProbability TheoryCombinatorics

Berkeley artificial intelligence research

Research Intern

Jun 2020 – Aug 2020 · 2 mos · Berkeley, California, United States · Hybrid

Conducted video inpainting using Vision Transformers (ViTs) exclusively with masked autoencoding pretraining, without the need for fine-tuning.
Proficiently debugged extensive transformer models catering to various modalities. Developed a straightforward metric for assessing block utility, facilitating streamlined architecture search.

Machine LearningArtificial Intelligence (AI)

Ni (national instruments)

Software Engineer Intern

May 2020 – Aug 2020 · 3 mos · Austin, Texas Metropolitan Area · Remote

Developed a front-end component for a web app that allows users to build panels (similar to LabView) based on systems data in the cloud for measurement, testing, and analysis.
Collaborated with cross platform teams to achieve a company-wide support goal by making the application a part of larger suite of cloud systems management software that was supposed to be released in December 2020
Presented technical items & team growth techniques at company-wide “lunch & learn” events.

Software DevelopmentAgile MethodologiesC++

B-aegis life sciences & research

AI Intern

May 2019 – Jul 2019 · 2 mos · Kochi, Kerala, India · Remote

Developed an ML model to determine cough sounds which was a breakthrough in conducting medical research in Covid times
Collaborated with managers and QA to define processes to scale a new team to analyze data using deep learning techniques to monitor disease progression in various patients.
Presented a large-format research idea at a research symposium to over 20 researchers in the company.