Vinay Garg

AI Researcher

Gurgaon, Haryana, India8 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led development of AI solutions improving operational efficiency.
Pioneered GenAI architecture enhancing response accuracy.
Mentored teams to drive data-driven decision making.

Stackforce AI infers this person is a Data Science and AI specialist in Telecommunications and Analytics.

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Skills

Core Skills

Machine LearningMlopsGenerative AiJava

Other Skills

Amazon Web Services (AWS)Azure BlobCC#C++Deep LearningElasticSearchElasticsearchExpressHTMLLangfuseLinuxMySQLNode.jsPOSTMAN

About

At the forefront of data science innovation at World Wide Technology, my journey from a Data Scientist to Lead Data Scientist has been fueled by a strong command over Python, Machine Learning, Deep Learning, MLOps, Generative AI and working with different technical frameworks. These technical skills, paired with a problem-solving mindset, enable me to deliver robust data-driven solutions. With a commitment to continuous learning and development, my role encapsulates not only technical proficiency but also the collaborative spirit to mentor and lead my team. Our collective efforts are aimed at achieving excellence and driving the company's growth through actionable insights and strategic data analysis to make a new world happen at WWT.

Experience

8 yrs 7 mos

Total Experience

4 yrs 3 mos

Average Tenure

7 yrs 1 mo

Current Experience

World wide technology

4 roles

Lead Data Scientist

Promoted

Jan 2023 – Present · 3 yrs 3 mos

GenAI-powered assistant for Network Operations - Transforming legacy troubleshooting into intelligent, automated workflows
Spearheaded development of a GenAI-powered assistant for a leading telecom providers NOC/NTAC teams, increasing issue resolution speed by ~30% through automated log analysis, ticket lookup, and alarm correlation powered by different data sources like Splunk, ServiceNow
Designed and implemented a multi-agent LLM architecture to support modular use case expansion and intelligent tool selection, improving query scalability and response relevance
Led the creation of an LLM-as-a-judge evaluation framework, reducing manual QA effort by ~40% while maintaining consistent model output quality across releases
Deployed robust MLOps pipelines using Prefect, Langfuse, Azure Blob & Redis, enabling real-time monitoring, ingestion, and CI/CD of model updates across data pipelines
Founding Member – GenAI Program (WWT’s enterprise-grade GenAI assistant platform)
Designed and implemented a Retrieval-Augmented Generation (RAG) architecture that improved AI response relevance by 40%, enabling accurate, context-aware answers from internal knowledge bases
Developed hybrid retrieval pipelines combining dense and sparse vector search, increasing document retrieval precision by 35% and reducing response latency by 25%
Spearheaded the deployment of production-ready GenAI applications, integrating AtomAI with enterprise tools and scaling to 1,000+ internal users across departments
Established a performance evaluation framework for large-scale RAG systems, combining human and automated assessments to improve factual accuracy and reduce hallucinations by 30%
Drove adoption of AI copilots and assistants across sales, support, HR, and engineering, resulting in 50% reduction in time spent on repetitive knowledge tasks

PythonMachine LearningDeep LearningMLOpsGenerative AIPrefect+5

Sr. Data Scientist

Promoted

Jan 2022 – Jan 2023 · 1 yr

Data Scientist

Dec 2020 – Dec 2022 · 2 yrs

Data Engineer

Mar 2019 – Dec 2020 · 1 yr 9 mos

Absolutdata analytics

Software Development Engineer

Aug 2017 – Feb 2019 · 1 yr 6 mos · Gurgaon, India

Product Development - NAVIK SalesAI
Responsible for scalable design and development of REST APIs in Java Spring
Instrumental in database design, data exploration and development of data preparation scripts using Pandas(basic)
Worked extensively on the product pipeline for automated data extraction from different data sources to Amazon S3 to NAVIK SalesAI data mart on incremental basis
Part of the NAVIK SalesAI Dashboard team to design FusionCharts framework in Java to deliver dynamic and intuitive charts providing significant visualization of data and reducing implementation response time
Developed and integrated a plug & play lightweight module in NAVIK SalesAI with live streaming capabilities to transcribe text from user audio inputs using Google Speech API
Developed Search APIs using Elasticsearch
Designed the layered architecture for data ingest pipeline from legacy relational database to Elasticsearch cluster using Logstash
Researched and prototyped addition of new features, feature enhancements, and technical improvements

JavaSpring FrameworkREST APIsPandasElasticsearch

Mobstac

Engineering Intern

Jan 2017 – Feb 2017 · 1 mo · Bangalore, India

Developed a Google Chrome extension for the product ‘WiFire’
Designed and developed user authorization service (including Facebook and Google login)
Developed an Admin/User Profile Dashboard for the product ‘WiFire’
Developed REST API endpoints in Node.js for the product 'WiFire'
Gained experience and beginner competency in Node.js, Express web framework and MySQL

Node.jsExpressMySQL

Absolutdata analytics

Product Engineering Intern

May 2016 – Jul 2016 · 2 mos · Gurugram, Haryana, India

Developing RESTFul web services in Java Spring for a client application
Functional/API Testing using SOAP UI and POSTMAN Client
Designed and developed a report management tool to generate reports and send mails using XSSF Libraries in Java

JavaSOAP UIPOSTMAN