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Khushal Bapna

Analyzed 10,000+ companies to understand buying signals.

Bangalore Urban

7+ years of work experience

Qumin.ai
Jul 20251 yr 3 mosPresent

Bangalore Urban, Karnataka, India

Driving the vision, strategy, and execution at Qumin.ai.
Upturnly
Jan 20251 yr 9 mosPresent

Remote

I designed and executed our domestic and international market outreach strategy from scratch. To scale this, I built a suite of custom AI agents that automated our entire growth funnel: 1) Data Filtering Agent: Uses natural language processing to query, filter, and segment complex customer data instantly. 2) Research & Insights Agent: Scours the web to pull deep, actionable customer insights tailored specifically to our business context. 3) AI Campaign Builder: Automatically translates raw customer ICP calls into ready-to-launch email marketing campaigns—achieving an incredible 95% primary inbox landing probability.
Bloomreach
Apr 20253 mosJun 2025

Remote

Developed and deployed cutting-edge AI and Machine Learning models that powered the search and discovery experience for some of the largest e-commerce brands in the US and Europe, including Next, Staples, Sam's Club, and Canadian Tire. > Engineered and scaled deep learning, lambdamart models for search relevance, ranking, and query understanding, directly impacting the product discovery journey for millions of customers daily. > Specialized in creating solutions for massive, high-traffic e-commerce environments, focusing on optimizing for both relevance and performance at scale. > Collaborated with cross-functional product and engineering teams to translate complex business requirements into robust, scalable ML systems that enhanced user engagement and drove significant revenue for clients.
Bloomreach
Feb 20223 yrs 3 mosApr 2025

Bengaluru, Karnataka, India

Ennoventure Inc.
Jul 20218 mosFeb 2022

Bengaluru, Karnataka, India

Ennoventure Inc.
Oct 20191 yr 9 mosJun 2021

Bengaluru Area, India

▪ Developed a production level model for product identification with accuracy more than 99.7% and less than 0.1% false positives. ▪ Developed an object detection model for on-device computation (Apps, Webapp) with accuracy over 99%. ▪ Designed and deployed a corner detection model using YOLO algorithm to determine orientation of the product. ▪ Created an ML model using autoencoders and SVM for differentiating products with high similarity. ▪ Implemented a text detection model for text extraction and detection with Pytorch implementation. ▪ Developed a decision tree to identify the product from the text extracted from Text model. ▪ Participated in the accelerator program conducted by AI venture labs in Dubai (sponsored by Microsoft) - Developed App using Microsoft Powerapps for products management, data visualization and analytics. - Worked done during my stay in Dubai helped Ennoventure receive 1lac dollar azure credit and Microsoft partnership. Work was presented in AI Everything conference in Dubai. Management tasks ▪ Accountable for the delivery, planning and meeting timeline for apps in Android and IOS platform. ▪ Supervised the deployment of object detection model into Android and IOS application . ▪ Responsible for WhatsApp business API development and integration into Ennoventure’s product.
Aug 20181 yrJul 2019

Greater Delhi Area

▪ Leveraged Convolutional Neural Networks for classification of faulty and non-faulty solar panels. ▪ Created an anomaly detection algorithm using Auto-encoder and local outlier factor to detect faulty panels. ▪ Developed a desktop application on C sharp for robot data visualization and weather prediction. ▪ Developed an algorithm based on past data for prediction of future data generation in solar plant. ▪ Other responsibilities included supply chain management, product deployment, installation, and market research.

Khushal’s AI Stack

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Education

Indian Institute of Technology, Delhi

Bachelor's degree, Engineering Physics

Indian Institute of Technology, Delhi

20124 yrs2016
National Tsing Hua University

Master of Science - MS, Materials Science and Engineering

National Tsing Hua University

20171 yr2018

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Headline

Analyzed 10,000+ companies to understand buying signals.

About

I'm an AI/ML Engineer passionate about building intelligent systems that solve complex, real-world problems. My mission is to bridge the gap between human intuition and machine intelligence, creating AI that not only performs tasks but understands and adapts. Currently, I'm channeling this passion as a core member of the team at Qumin.ai, where we are building the future of software testing. We're creating an "AI QA engineer" that understands natural language and uses computer vision to autonomously test web applications. My work involves developing the core ML algorithms, from advanced NLP and OCR to sophisticated computer vision models, that power our self-healing, no-code testing platform. My journey in AI is rooted in a strong foundation from IIT Delhi and a research background in ML, AI and Data Science. This, combined with my experience as a co-founder of a hardware automation startup, has given me a unique blend of deep technical expertise and an entrepreneurial mindset. I thrive on taking innovative ideas from concept to reality. My core expertise includes: * Generative AI & Deep Learning: LLM, CV, NLP, Transformers, GANs, PyTorch, TensorFlow

Location

Bangalore Urban

AI stack

claude

codex

cursor

geminicli

langchain

langgraph

Work experience

Founder & CEO at Qumin.ai, Jul 2025 - Present · 1 yr 3 mos, Bangalore Urban, Karnataka, India, Driving the vision, strategy, and execution at Qumin.ai.

Advisor at Upturnly, Jan 2025 - Present · 1 yr 9 mos, Remote, I designed and executed our domestic and international market outreach strategy from scratch. To scale this, I built a suite of custom AI agents that automated our entire growth funnel: 1) Data Filtering Agent: Uses natural language processing to query, filter, and segment complex customer data instantly. 2) Research & Insights Agent: Scours the web to pull deep, actionable customer insights tailored specifically to our business context. 3) AI Campaign Builder: Automatically translates raw customer ICP calls into ready-to-launch email marketing campaigns—achieving an incredible 95% primary inbox landing probability.

Senior Machine Learning Engineer at Bloomreach, Apr 2025 - Jun 2025 · 3 mos, Remote, Developed and deployed cutting-edge AI and Machine Learning models that powered the search and discovery experience for some of the largest e-commerce brands in the US and Europe, including Next, Staples, Sam's Club, and Canadian Tire. > Engineered and scaled deep learning, lambdamart models for search relevance, ranking, and query understanding, directly impacting the product discovery journey for millions of customers daily. > Specialized in creating solutions for massive, high-traffic e-commerce environments, focusing on optimizing for both relevance and performance at scale. > Collaborated with cross-functional product and engineering teams to translate complex business requirements into robust, scalable ML systems that enhanced user engagement and drove significant revenue for clients.

Machine Learning Engineer at Bloomreach, Feb 2022 - Apr 2025 · 3 yrs 3 mos, Bengaluru, Karnataka, India

RnD Senior Engineer at Ennoventure Inc., Jul 2021 - Feb 2022 · 8 mos, Bengaluru, Karnataka, India

RnD Engineer at Ennoventure Inc., Oct 2019 - Jun 2021 · 1 yr 9 mos, Bengaluru Area, India, ▪ Developed a production level model for product identification with accuracy more than 99.7% and less than 0.1% false positives. ▪ Developed an object detection model for on-device computation (Apps, Webapp) with accuracy over 99%. ▪ Designed and deployed a corner detection model using YOLO algorithm to determine orientation of the product. ▪ Created an ML model using autoencoders and SVM for differentiating products with high similarity. ▪ Implemented a text detection model for text extraction and detection with Pytorch implementation. ▪ Developed a decision tree to identify the product from the text extracted from Text model. ▪ Participated in the accelerator program conducted by AI venture labs in Dubai (sponsored by Microsoft) - Developed App using Microsoft Powerapps for products management, data visualization and analytics. - Worked done during my stay in Dubai helped Ennoventure receive 1lac dollar azure credit and Microsoft partnership. Work was presented in AI Everything conference in Dubai. Management tasks ▪ Accountable for the delivery, planning and meeting timeline for apps in Android and IOS platform. ▪ Supervised the deployment of object detection model into Android and IOS application . ▪ Responsible for WhatsApp business API development and integration into Ennoventure’s product.

Co-Founder at Greenleap Robotics, Aug 2018 - Jul 2019 · 1 yr, Greater Delhi Area, ▪ Leveraged Convolutional Neural Networks for classification of faulty and non-faulty solar panels. ▪ Created an anomaly detection algorithm using Auto-encoder and local outlier factor to detect faulty panels. ▪ Developed a desktop application on C sharp for robot data visualization and weather prediction. ▪ Developed an algorithm based on past data for prediction of future data generation in solar plant. ▪ Other responsibilities included supply chain management, product deployment, installation, and market research.

Education

Bachelor's degree, Engineering Physics, Indian Institute of Technology, Delhi

Master of Science - MS, Materials Science and Engineering, National Tsing Hua University