Gaurav Jain

CEO

San Jose, California, United States21 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in AI/ML platform development.
Proven track record in digital transformation projects.
Strong leadership in high-performing teams.

Stackforce AI infers this person is a seasoned expert in AI-driven solutions within the Telecommunications and Healthcare sectors.

Contact

jaingauravgm@gmail.com LinkedIn

Skills

Core Skills

Machine LearningArtificial Intelligence (ai)

Other Skills

3GAIOpsBSSBig DataBilling SystemsBusiness AnalysisBusiness IntelligenceCRMData AnalysisData ScienceDevOpsGSMHadoopIT OperationsIT Service Management

About

Technology Enthusiast with demonstrated history in building large, scalable, well-managed systems from scratch in enterprise environments from existing systems, open-source products, ideas and concepts from academia with minimal fresh code, while playing various key leadership roles. Systems expert with proficiencies in Architecture, Design, Performance Optimization and Development using Machine learning and Data practices. Capable to envision and develop systems entailing effective, efficient solutions to business problems. Executing end to end project activities with on-time completion of digital transformation projects. Adept in handling requirement analysis, architecture design, development, and quality analysis. Focus Area - • Enterprise Architecture Designing • Large scale system architecture • Mathematical modelling • Solution Innovation • Driving high performing team

Experience

21 yrs 8 mos

Total Experience

2 yrs 8 mos

Average Tenure

5 yrs 7 mos

Current Experience

Rakuten

Vice President - AI and Data Products

Oct 2020 – Present · 5 yrs 7 mos · San Mateo, California, United States · On-site

Designed and developed AI/ML platform to provide next generation deep neural applications across Rakuten companies and its customers.
Platform implemented -
Platform includes data platform, machine learning platform, analytics platform, and SRE.
Build the ground up platform to maintain 99.9+ % uptime SLA and Elite/High tiers in all velocity, quality, failure rates & MTTR metrics. Also supports machine learning powered user behavior analytics, performance analytics, security analytics, and usage analytics.
Capable to operate in both batch mode and real-time closed loop model that can modify products’ policies to mitigate threats and automation with large language models (LLMs) applying in-context learning with vector databases as well as fine tuning.
Design and implementation of a machine learning workflow engine on Kubernetes that allows users to create a DAG of ML models with various capabilities such as batch and interactive execution, conditional branching, transformations, etc. Automation of DevOps activities included.
AIOPS and MLOPS enabled for implementing Machine Learning and Deep Learning methods for solving NLP problems.
Platform supports data label and crowdsourcing, featuring engineering, data/training workflow and canvas, experiment management cloud native scheduling, gpu-accelerated recommender framework, recommender/cv/nlp model zoo and automl, inference engine, monitoring and QA.
Driving engineering best practices and execution across the different teams in addition to Product General Management for Applied Intelligence.
Developed machine learning powered correlation engine for DevOps to eliminates alert noise, makes root cause analysis more accurate and efficient, facilitates knowledge base creation, recommends solutions, automates remediation and delivers predictive insights.
Currently exploring federated and decentralized AI along with running AI at the edge.

AIOpsMachine LearningLarge Language Models (LLM)Python (Programming Language)Data ScienceDevOps+4

Nagarro

Director of Engineering

Nov 2019 – Oct 2020 · 11 mos · Gurugram, Haryana, India

Consulting customers through their digitisation journey and helping execute breakthrough innovation strategies including consulting around building a digital ecosystem, cloud enablement, data strategy and advanced analytics.
Platform implemented -
Geospatial analysis platform: e-healthcare ambulance service for transportation in case of emergency needs data collections on radio/broadband connectivity to provide smart response system.
Master data management: Automobile leader want to identify unique dealers from various financers systems.
Cognitive search platform: Rule-based information extraction and semantic parsing systems from billions of documents, so any document can be searched in milliseconds and showed on customer website.

Airtel

Engineering Manager

Oct 2014 – Nov 2019 · 5 yrs 1 mo · Gurugram, Haryana, India

Data Platform: Built a reliable big data platform, which is extremely challenging when it has to store 2.5 petabytes of data in real time. Apart of high availability, geo redundancy also be catered with parallel run.
Design and implemented 360 nodes Hadoop distributed system with CI/CD.
Designed and Implemented – Site planning optimisation, Customer network experience, Device scoring and GIS solutions on Big Data platform.
Designed and integrated 60 real time and batch data feeds.
Design and developed CRM, Billing and Mediation custom products in Airtel.

Ericsson

Solution Architect

Apr 2013 – Nov 2014 · 1 yr 7 mos · Gurugram, Haryana, India

Solution designer of product development team of Ericsson Multi Mediation and Provisioning.
Developed customisations from onsite for T-Mobile US, Orange Switzerland and Rogers Canada.

Wipro infotech ltd

Project Lead - Architecture

May 2010 – Apr 2013 · 2 yrs 11 mos · Gurugram, Haryana, India

Design, Architecture and implemented Mediation Platform for Aircel India
Detail analysis of CDR structures for parsing, design, Implementation and testing.

Hfcl infotel ltd.

Assistant Manager

Mar 2007 – Apr 2010 · 3 yrs 1 mo

Team leader for implementation and configurations of Billing, Mediation, Interconnect, Provisioning and Roaming solutions.
Design, Architecture and Development of Analytics and reporting Platform.