P

Pankaj Gupta

CEO

Bengaluru, Karnataka, India10 yrs 1 mo experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Co-founder and CTO with extensive AI expertise
  • Proven track record in building innovative tech solutions
  • Strong background in data science and machine learning
Stackforce AI infers this person is a Data Science and AI expert with a focus on Ed-Tech and Software Development.

Contact

Skills

Core Skills

Software DevelopmentEd-techData ScienceMachine LearningResearch

Other Skills

AndroidFlaskSpringbootDeep LearningTree Based ModelsA/B TestingSQLCNNLSTMQuantum ComputingComputer VisionSLAMAlgorithmsPython (Programming Language)Data Analysis

Experience

10 yrs 1 mo
Total Experience
1 yr 6 mos
Average Tenure
2 yrs 9 mos
Current Experience

Revrag.ai

2 roles

Co-founder and CTO

Aug 2024Present · 1 yr 9 mos

Co-founder and CTO

Jul 2023Jul 2024 · 1 yr

Lohum

Lead Software Engineer

Nov 2022Aug 2023 · 9 mos · Greater Noida

Udaan.com

Data Scientist

Aug 2020Apr 2021 · 8 mos · Bengaluru, Karnataka, India

  • Worked on deep learning and tree based models to improve search result on Udaan App across several categories like Food, FMCG, Clothing, etc
  • Created a framework which could be used simultaneously in recommendations across the syste
Deep LearningTree Based ModelsData ScienceMachine Learning

Hunkaar

Co-Founder and CTO

Jun 2020Feb 2022 · 1 yr 8 mos · Bangalore Urban, Karnataka, India

  • Built an ed-tech social media platform(using Android, Flask, Springboot) with a team of 3 people where users can join communities based on their interest and enroll in courses.
  • Built features like contextual user feed, brand images generation, multiple post types(text, image, question, poll, reels), user behaviour tracking, scheduling notifications/sms, payments, multi-level course consumption, user points system, deferred deep linking.
AndroidFlaskSpringbootSoftware DevelopmentEd-Tech

Sharechat

Data Scientist II

Oct 2019Jul 2020 · 9 mos · Greater Bengaluru Area

  • Designed framework for predicting relevant tags for the users to show on trending feed and video feed
  • Responsibilities included proposal of experiment, model development, offline performance evaluation, A/B test setup,
  • monitor performance and deploy on complete scale
  • Worked on experiments to increase the engagement of inactive users, used FFM for post generation for a user, optimised SQL queries to cut down costs
Machine LearningA/B TestingSQLData Science

Adobe

Data Scientist

Jun 2016Oct 2019 · 3 yrs 4 mos · Bengaluru

  • Developed a Machine Learning model to determine the impact of ad-images on User-Response Prediction using FFM
  • Designed a pipeline to convert a GUI screenshot (provided by the designer) to frontend code for AEM (Adobe Experience Manager) using CNN and LSTM based network
  • Worked on project to assist content writers for news article(dataset used - Telegraph)
  • Created a model to detect 60 categories of objects in images consisting of Satellite Images
  • Developed joint-embedding model for Fashion Images for learning shared latent space representation of images and attributes for image2image and attribute2image retrieval
  • Worked on Conversion prediction model for an online spend control system, which would help in lifting ROI for advertisers by spending the budget on more profitable advertising requests
Machine LearningCNNLSTMData Science

Harvard university

Remote Project

Jun 2015Jul 2016 · 1 yr 1 mo

  • • Developed a Proof of Concept for solving Image Denoising Problem on Quantum Computer(D-wave 2000Q) under Prof. Nike Dattani
Quantum ComputingResearch

Trimble

Graduate Technical Intern

May 2015Jul 2015 · 2 mos · Chennai

  • Indoor Positioning and Navigation
  • RANSAC based monocular SLAM for real-time navigation, QR-based localization wrt world frame and Inertial Navigation System, triangulation using BLE tags signal
Computer VisionSLAMResearch

The university of tokyo

Reseach Internship

Dec 2014Dec 2014 · 0 mo · Tokyo, Japan

  • NP-hard Problem of route planning for Tsunami Evacuation
  • Approximate algorithm implemented using Depth first search, A* search, Dijikstra algo and Target Value Search Problem
AlgorithmsResearch

Trimble

Graduate Technical Intern

May 2014Jul 2014 · 2 mos · Chennai

  • Read measuring Scale in real environment using Computer Vision Techniques
  • Noise Removal, Scale detection, Cross-wire detection, Finding readings, Verifying Readings and OCR for numbers
Computer VisionResearch

Education

Indian Institute of Technology, Kanpur

BS - MS Dual Degree — Mathematics and Scientific Computing

Jan 2011Jan 2016

Stackforce found 100+ more professionals with Software Development & Ed-tech

Explore similar profiles based on matching skills and experience