Gyanesh Pandey

About Gyanesh Pandey

I build delightful products for consumers and businesses on mobile and web.Building products is not easy. It requires a strong vision and commitment to go through the discovery, definition, execution and measuring phases to have the product see the light of the day. Add organizational and inter-personal challenges in the mix, and you have got a healthy Asylum run by the inmates :)(credit to Alan Cooper for an apt title)I have lead multiple initiatives at PayPal, Verizon-Go90 and before to successful completion creating business impact to the tune of $100M in incremental revenue. Yes that has been my ceiling so far,$100M. Within Fintech: I have launched consumer products adding incremental NNAs (Net New Actives, one of the main KPIs at PayPal) to over quarter of a million. I have worked with different merchant segments, ranging from millions of SMBs to large enterprises and partners using API solutions. I have also leveraged user behavior data to create delightful experiences predicting Product Intent and next best action using AI/ML.Within Media: I was part of the team launching a Zero to One video product (Go90) at Verizon. A lot of my recommendations made into the v2 of the app, which trended at No. 2 on Apple App Store. It was a big moment of celebration for me. I also launched the website for Go90 doubling engagement twice.My product philosophy is exemplified by Picasso’s Bull painting (My Cover Photo). On seeing Picasso’s stick like figures, someone asked him how do you come up with that? So, Picasso drew another painting with twelve versions of the Bull. Starting with a rough first draft, which then gets bulkier and then highlighting the structural elements. And finally elimination, until only the essentials remain. I think product development also mimics that process. That’s how I think of product management or anything in general, really.SIDE-PROJECTSI think AI/NLP is at the intersection of technology and arts. I built a Fake News Detector program using Cloud Technologies (AWS - S3, EC2 and other components) and leveraging AI and ML models for deriving various textual features. Like predicting the probably of a piece of text being “fake news”. I also built an Android App using Google Tensor Flow which leveraged ML models on edge. It could identify any object, while disconnected from the network!Most recently developed a Gen AI app to generate competitive study leveraging OpenAI LLM models.

Experience

1. Investor

   Cohere

   Jun 2024 — Present · San Francisco, CA, US

   Investor in Cohere, a top-tier generative AI company specializing in natural language processing (NLP) and language models, driving innovation in AI-driven solutions for enterprises. Participated in Cohere\'s Series D funding round, contributing to its mission of making AI more accessible and impactful. Supporting their expansion into enterprise AI solutions and global growth.

Education

• San José State University

  Master of Science - MS, Computer Engineering

• Stanford University Graduate School of Business

  Executive Education (LEAD), Corporate Innovation

  2020 — 2021

• Indian Institute of Technology, Kanpur

  Bachelor of Technology - BTech, Materials and Metallurgical Engineering

Skills

• Consulting
• Business Strategy
• Software Development
• Agile Methodologies
• Mvt
• Management
• Team Building
• Strategy
• Sybase
• Business Development
• Project Management
• Business Analysis
• Back Office
• Integration
• Portfolio Management
• Competitive Analysis
• Leadership
• Lean UX
• Swot Analysis
• Requirements Analysis
• Communication
• Teaching
• Fx Options
• Java
• Sql
• Software Project Management
• Data Analysis
• Trading
• Investment Banking
• A/B Testing
• Product Development
• Product Management
• Film
• Commodity
• Interest Rate Derivatives
• Risk Management
• Team Management
• Classroom Management
• Sdlc
• Calypso