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ANIVESH TIWARI

@aniveshtiwari

Co-Founder at Acrolly building AI learning products, including a content engine for JEE questions, explanations, animations, and diagrams.

India

Message

At Acrolly, I founded an AI-powered learning platform for educational institutes and JEE aspirants. I built an AI content engine for JEE-level questions, explanations, animations, TikZ diagrams, and SMILES visualizations, along with an OCR pipeline for a structured question library.

At Wayground, I worked on product roadmaps, AI-assisted lesson creation, search, and experimentation; improvements raised Lesson Publish Rate from 48% to 53%. At Navi, I developed allocation engines and reporting improvements, including work that reduced reporting costs by 55% for the Tele Analytics team.

Experience

Work history, roles, and key accomplishments

Current

Co Founder

Current

Acrolly

Jul 2025 - Present (1 year 3 months)

Founded an AI-powered learning platform for educational institutes and JEE aspirants, leading product end-to-end. Built an AI content engine and OCR pipeline, and led GTM efforts acquiring 3 institutes with 300+ students.

AI LLM Prompt Engineering OCR Product Management GTM Founder Led Sales

Product Manager

Wayground

Aug 2025 - Nov 2025 (3 months)

Led the Lessons product roadmap, partnering with Engineering, Design and Data Science. Launched AI-assisted Lesson Creation, increasing Lesson Publish Rate from 48% to 53%.

Product Management Roadmapping AI A B Testing Data Science Cross Functional Collaboration

Product Analyst

Wayground

Nov 2024 - Jul 2025 (8 months)

Owned Lesson Search Discovery for ~10,000 weekly teachers, improving Search Success from 20% to 31%. Built a universal experimentation platform and designed analytics data models.

Product Analytics A B Testing Experimentation SQL Python Data Modeling Search

Business Analyst

Navi

May 2023 - Oct 2024 (1 year 5 months)

Spearheaded Cube.js adoption for real-time reporting and built allocation engines improving contactability and EMI CE. Automated dashboards and optimized reporting infrastructure, reducing costs by 55%.

CubeJS SQL Python Data Modeling Dashboarding Optimization Reporting

BA Intern

OYO

May 2022 - Jul 2022 (2 months)

Designed operational analyses to solve for leaking PAH Rz, adding 2,996 additional BRNs and improving PAH Rz by 27%. Created an hourly updating dashboard and designed the UPL incentive framework.

Data Analysis Dashboarding SQL Python Operational Analytics

Data Science Intern

FITTLYF

Jan 2022 - Mar 2022 (2 months)

Built Thompson Sampling and UCB-based Multi-Armed Bandit frameworks reducing experimentation turnaround time by 40%. Developed dashboards using R Shiny and automated analytics pipelines.

Bandits Thompson Sampling UCB R Shiny SQL Python Tableau A B Testing