Abhinav Gupta

Co-Founder

Philadelphia, Pennsylvania, United States5 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Co-founded Sequoia-backed AI marketing startup.
Built India's first asynchronous learning app.
Developed innovative trading strategies in finance.

Stackforce AI infers this person is a MarTech and EdTech innovator with strong AI and Data Science expertise.

Contact

Skills

Core Skills

Artificial IntelligenceMachine LearningData StructuresQuantitative FinanceData AnalyticsData ScienceAlgorithmsNatural Language ProcessingNeural Networks

Other Skills

Deep LearningPythonImage RetrievalChatbotsPublic RelationsComputer VisionC++MatlabHTMLCascading Style Sheets (CSS)DjangoPHPCArtificial Neural NetworksTime Series Analysis

About

MBA candidate at the Wharton School. Currently tinkering w/ different startup ideas :) Previously, I co-founded Cube, a Sequoia-backed AI-first marketing software company for multi-location businesses. Before Cube, I was a part of the founding team at Studyroom, building an ed-tech platform for vernacular audiences. I like coding, geeking on startup ideas, doomscrolling X and GitHub, listening to music, and learning different musical instruments (current tally at 6) :D

Experience

5 yrs 10 mos

Total Experience

1 yr 11 mos

Average Tenure

3 yrs 6 mos

Current Experience

Cube

2 roles

Co-Founder

Nov 2022 – Present · 3 yrs 6 mos

Co-Founder and CTO

Nov 2022 – Jul 2025 · 2 yrs 8 mos

At Cube, an early-stage Sequoia-funded startup, we're transforming customer interactions with the help of ChatGPT to improve the quality of conversations and ultimately improve CSAT.

Natural Language ProcessingArtificial IntelligenceMachine LearningDeep Learning

Studyroom

Founding Engineer

Nov 2020 – Oct 2022 · 1 yr 11 mos · Bengaluru, Karnataka, India · On-site

At Studyroom, we built India's first asynchronous learning app for regional mediums of instruction, reaching 2M+ students across 8 states.

Data StructuresAlgorithmsPythonMachine Learning

Unacademy

Software Engineer

Jun 2020 – Nov 2020 · 5 mos · Bengaluru, Karnataka, India

Worked with the Data Science Team on various problems like Image Retrieval, Natural Language Generation, Audio Processing, and Chatbots.
Some key projects: Support Chatbot for Plus Learners, Doubt Solving Feature for Plus Learners, Few Shot Live Class Description Generation, and Live Class Audio Classification

Natural Language ProcessingImage RetrievalChatbotsData Science

Trexquant investment lp

Global Alpha Researcher

May 2020 – Jun 2021 · 1 yr 1 mo · Remote

Translated ideas from the latest research into long/short market-neutral trading strategies and backtested the same.
Came up with novel medium-frequency alpha ideas.
Created and worked on several financial datasets to mine meaningful trading strategies that predict future stock returns.

Data AnalyticsQuantitative FinanceMachine Learning

Juliahub

Julia Summer of Code Contributor

May 2020 – Aug 2020 · 3 mos · Remote

Create the first consolidated optimisation interface in the Julia ecosystem in collaboration with researchers at MIT, Oxford, etc.

Imocha

Challenge Curator Consultant

Jan 2020 – Mar 2021 · 1 yr 2 mos · Remote

Developed challenges related to Data Science, Data Structures, and Algorithms.
The problems developed are used for coding interviews and online tests.
Consulted Enterprise Customers on how to create robust skill assessments and test candidates efficiently.

Data ScienceData StructuresAlgorithms

Hackerrank

Challenge Curator Consultant

Aug 2019 – Nov 2020 · 1 yr 3 mos · India

Developed challenges related to Data Science, Data Structures, and Algorithms.
The problems developed are used for coding interviews and online tests.

Data ScienceData StructuresAlgorithms

Samsung r&d institute india - bangalore private limited

Student Trainee

May 2019 – Jul 2019 · 2 mos · Bengaluru, Karnataka, India

Implemented various neural network kernels to make ML inferencing achievable on resource-constrained micro-controller based RTOS.
Achieved a memory footprint of less than 16KB for different neural network layers and developed a pipeline that automatically runs the high-level ML model on the micro-controller using conversion scripts and the developed APIs.

Machine LearningNeural Networks

Worldquant

Websim Research Consultant

Mar 2019 – Feb 2020 · 11 mos · Varanasi, Uttar Pradesh, India

Contributed to the development of long/short market neutral trading strategies in WorldQuant’s FastExpression API to predict future stock returns.
Was involved in implementing various technical and fundamental indicators for Alphas to achieve optimal PnLs.