Mayank Jain

Software Engineer

Bengaluru, Karnataka, India9 yrs 6 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in developing large scale distributed systems.
Strong background in AI and machine learning applications.
Proven track record of mentoring and leading research projects.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in Fintech and E-commerce.

Contact

Skills

Core Skills

MicroservicesTechnical ArchitectureCommunicationMachine LearningNatural Language ProcessingMentoringNlp

Other Skills

AWSAlgorithmsAmazon Web Services (AWS)Application Programming InterfacesArtificial IntelligenceArtificial Neural NetworksBack-End Web DevelopmentC++Code ReviewData MiningData ScienceData StructuresDatabase DesignDatabasesDeep Learning

About

I'm a Software Engineer with a background in AI research. I have built and scaled mission-critical large scale systems powering the largest e-commerce operation in the world.

Experience

Glean

Software Engineer

Jun 2025 – Present · 9 mos · Bengaluru, Karnataka, India · On-site

Career break

Personal goal pursuit

Sep 2024 – Jun 2025 · 9 mos

Took a break from the grind till I felt like grinding again. Did a bit of travel, pursued personal goals, caught up with my reading list and some more, explored the AI and startup landscape.

Amazon

4 roles

Senior Software Development Engineer

Promoted

Oct 2023 – Aug 2024 · 10 mos

MicroservicesCommunicationTechnical ArchitectureDatabasesCode Review

Software Development Engineer

Jun 2020 – Oct 2023 · 3 yrs 4 mos

Working as a backend engineer in the Selling Partner Financial Tech org
Developing large scale distributed systems in AWS to record financial transaction related details for Selling Partners

MicroservicesCommunicationTechnical ArchitectureDatabasesCode Review

Applied Scientist

May 2019 – Jun 2020 · 1 yr 1 mo

Developed a stacked LSTM-based engine for zip code recommendation for IN marketplace, reducing the delivery defects and saving reverse logistics cost
Contributed to design & implementation of deep-learning based Address Autocomplete System in India, reducing customer drop-off rate & consequently improving annualized overall product sales
Mentored 2 interns on NLP research projects spanning multiple marketplaces, involving semi-supervised NER and text classification

CommunicationDatabasesCode Review

Research Scientist

Jul 2017 – Apr 2019 · 1 yr 9 mos

Developed a context-aware model to assess the validity of customer entered Indian Addresses using cutting-edge NLP techniques leveraging Probabilistic Graphical Models, Bayesian and Deep Learning
Implemented and benchmarked various Seq2Seq models to segment & parse addresses accurately and evaluate address quality. This work got accepted in NIPS 2018 workshop on ‘Machine Learning for Developing World’.
Worked on spatial estimation of addresses involving hierarchical trees and Gaussian Processes with uncertainty estimation
Co-authored 2 research papers in Amazon Machine Learning Conference 2018 and 2019, Seattle

CommunicationDatabasesCode Review

Indian institute of technology, delhi

Teaching Assistant

Jun 2016 – May 2017 · 11 mos · New Delhi Area, India

Communication

Busigence technologies

ML Research Intern

May 2016 – Jul 2016 · 2 mos · Gurgaon

Worked on research and implementation of a variety of Information Theory based methods of automated feature extraction
Developed an adaptive feature transformation system to remove skewness & convert any series into normal distribution
Compared class imbalance handling, feature selection and importance ranking in various Decision Tree inducers