Ankit Gupta profile photo 1 on Tal

Ankit Gupta

Building revenue intelligence @ Chargebee | Ex-Founder | Apna | IIT Kanpur

Bengaluru

6+ years of work experience

Chargebee
Feb 20267 mosPresent

On-site

Leading the ML platform and revenue intelligence layer.
Chargebee
Feb 20242 yrs 7 mosPresent

Hybrid

Building enterprise ML to drive revenue growth management across Chargebee customers.
Sequoia
Aug 20236 mosJan 2024

Bengaluru

Built AI assistant using langchain and LLMs , on top of Sequoia SAAS Product, to enable users perform workforce planning analysis, attrition analysis , navigate product using natural language interaction with the assistant.
Flick
Apr 20235 mosAug 2023

Bengaluru, Karnataka, India

Enabling deeper connections between professionals. Built an iOS and Android app with my co founder and launched for employees of 10+ companies. Achieved early signs of PMF with 70% D3 retention. Had to shut down due to lack of funds.
apna
Sep 20229 mosMay 2023

Bengaluru, Karnataka, India

Promoted within 6 months for driving DS and analytics initiatives that helped accelerate Apna's monetisation journey. Built the first DS powered job feed recommendation system at Apna, which is responsible for serving the best jobs to 30M candidate. The objectives were job recommendations ,job fulfillment and ensuring the 500k employers get the right candidates. The DS feed led to an increase of 27% increase in applications per user and 10% increase in employer NPS. Built Apna's knowledge graph and operationalised the graph improvement process by getting a retool built for ops team for manual QC and evaluation of DS model generated entities and relationships. Created an automatic demand supply management system for running dynamic pricing and promotions and streamlined a lot of analytics processes while creating it.
apna
Feb 20227 mosAug 2022

Bengaluru, Karnataka, India

Built and deployed a lead prediction model to help employers gain visibility on the number of leads their job is likely to get , during job posting itself. Productionised the model and found another business use case of recommending the right package for employers to buy while posting a job. This led to increase in revenue by 10% and 30% increase in fulfilment.
Shortlyst AI
Jan 20202 yrs 2 mosFeb 2022

Bangalore Urban

Helped scale shortlyst from <10 to 10000+ customers by owning all the data processes while leading a team of 10 including data engineers, scientists and analysts.
Shortlyst AI
Jan 20201 yrDec 2020

Bangalore Urban, Karnataka, India

Built ML capabilities of the product from scratch. Major projects: -> Smart Search for Candidate Sourcing - Built and deployed numerous models for data standardisation using multiple NLP methods like BERT/Transformer, LSTMs, Word2Vec, kmeans, TF-IDF, Rule based - Designed and implemented ranking query for realtime search on 400 million profiles in elastic search -> Resume Parser - Managed a team of two IIT interns to build a resume parser from scratch, capable of even parsing some of the most complex resumes from all types of formats including pdf, image, etc - Used both custom deep learning and off the shelf models to get high accuracy -> Knowledge Graph (RnD) - Conducted extensive research on representation learning for graphs, using algos like TransE, Node2Vec, GraphSage to embed the graph entities

Ankit’s AI Stack

hugging face
hugging face
langchain
langchain
ollama
ollama
openai
openai

Education

INDIAN INSTITUTE OF TECHNOLOGY KANPUR

Bachelor's degree

INDIAN INSTITUTE OF TECHNOLOGY KANPUR

20124 yrs2016
St. Joseph's Academy, Dehradun

St. Joseph's Academy, Dehradun

200111 yrs2012

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Headline

Building revenue intelligence @ Chargebee | Ex-Founder | Apna | IIT Kanpur

About

With 7+ years of experience, I've specialised in building and deploying machine learning systems for real-world problems at scale. I have extensive experience in applying cutting-edge research to industrial applications, specifically focusing on information extraction, retrieval, and ranking. I've led and contributed to various initiatives across different startups, including my own, helping them grow. Currently working on building MLaaS for Chargebee

Location

Bengaluru

AI stack

hugging face

langchain

ollama

openai

Work experience

Staff Machine Learing Engineer at Chargebee, Feb 2026 - Present · 7 mos, On-site, Leading the ML platform and revenue intelligence layer.

Senior Machine Learning Engineer at Chargebee, Feb 2024 - Present · 2 yrs 7 mos, Hybrid, Building enterprise ML to drive revenue growth management across Chargebee customers.

Senior AI engineer - NLP at Sequoia, Aug 2023 - Jan 2024 · 6 mos, Bengaluru, Built AI assistant using langchain and LLMs , on top of Sequoia SAAS Product, to enable users perform workforce planning analysis, attrition analysis , navigate product using natural language interaction with the assistant.

Co-Founder at Flick, Apr 2023 - Aug 2023 · 5 mos, Bengaluru, Karnataka, India, Enabling deeper connections between professionals. Built an iOS and Android app with my co founder and launched for employees of 10+ companies. Achieved early signs of PMF with 70% D3 retention. Had to shut down due to lack of funds.

Lead Data Scientist at apna, Sep 2022 - May 2023 · 9 mos, Bengaluru, Karnataka, India, Promoted within 6 months for driving DS and analytics initiatives that helped accelerate Apna's monetisation journey. Built the first DS powered job feed recommendation system at Apna, which is responsible for serving the best jobs to 30M candidate. The objectives were job recommendations ,job fulfillment and ensuring the 500k employers get the right candidates. The DS feed led to an increase of 27% increase in applications per user and 10% increase in employer NPS. Built Apna's knowledge graph and operationalised the graph improvement process by getting a retool built for ops team for manual QC and evaluation of DS model generated entities and relationships. Created an automatic demand supply management system for running dynamic pricing and promotions and streamlined a lot of analytics processes while creating it.

Senior Data Scientist at apna, Feb 2022 - Aug 2022 · 7 mos, Bengaluru, Karnataka, India, Built and deployed a lead prediction model to help employers gain visibility on the number of leads their job is likely to get , during job posting itself. Productionised the model and found another business use case of recommending the right package for employers to buy while posting a job. This led to increase in revenue by 10% and 30% increase in fulfilment.

Founding ML Engineer - NLP at Shortlyst AI, Jan 2020 - Feb 2022 · 2 yrs 2 mos, Bangalore Urban, Helped scale shortlyst from <10 to 10000+ customers by owning all the data processes while leading a team of 10 including data engineers, scientists and analysts.

Machine Learning Engineer - NLP at Shortlyst AI, Jan 2020 - Dec 2020 · 1 yr, Bangalore Urban, Karnataka, India, Built ML capabilities of the product from scratch. Major projects: -> Smart Search for Candidate Sourcing - Built and deployed numerous models for data standardisation using multiple NLP methods like BERT/Transformer, LSTMs, Word2Vec, kmeans, TF-IDF, Rule based - Designed and implemented ranking query for realtime search on 400 million profiles in elastic search -> Resume Parser - Managed a team of two IIT interns to build a resume parser from scratch, capable of even parsing some of the most complex resumes from all types of formats including pdf, image, etc - Used both custom deep learning and off the shelf models to get high accuracy -> Knowledge Graph (RnD) - Conducted extensive research on representation learning for graphs, using algos like TransE, Node2Vec, GraphSage to embed the graph entities

Education

Bachelor's degree, INDIAN INSTITUTE OF TECHNOLOGY KANPUR

St. Joseph's Academy, Dehradun