Raghul Gopal

Data Scientist

Chennai, Tamil Nadu, India2 yrs 6 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in MLOps and Generative AI solutions.
Proven track record in optimizing AI-driven processes.
Passionate about empowering teams through training.

Stackforce AI infers this person is a SaaS-focused Data Scientist with expertise in MLOps and Generative AI.

Contact

Skills

Core Skills

MlopsGenerative AiMachine LearningCloud Computing

Other Skills

AWSAWS CloudFormationAlgorithm DevelopmentAlgorithmsAmazon DynamoDBAmazon EC2Amazon Relational Database Service (RDS)Amazon S3Amazon SageMakerAmazon Simple Storage Service (S3)Amazon Web Services (AWS)Artificial Intelligence (AI)B2B Marketing StrategyB2B Sales OptimizationB2B2C

About

AWS Community Builder (Machine Learning & Generative AI) Data Scientist at Logitech, driving AI-powered business transformation through cross-domain innovation. Certified in AWS and DeepLearning.AI specializations, with expertise in Snowflake GenAI architecture, MLOps, and GenAIOps integration. Passionate about building scalable GenAI solutions on AWS, empowering teams through training, and enabling impactful cloud-native AI adoption across industries. Open to collaboration and always eager to innovate.

Experience

2 yrs 6 mos

Total Experience

10 mos

Average Tenure

1 yr 11 mos

Current Experience

Logitech

2 roles

Jr Data Scientist

Promoted

Dec 2024 – Present · 1 yr 6 mos · On-site

As a Data Scientist
Implemented end-to-end MLOps lifecycle management, by leveraging Snowpark Python and ML APIs in conjunction with Snowpark Container Services to streamline the testing and production deployment of machine learning models.
Drove data platform unification and modernization, by migrating disparate systems to a centralized Snowflake environment and leveraging Snowpark Container Services to deploy containerized applications and establish a cohesive deployment framework.
Designed and implemented GenAI solutions using Snowflake Cortex AI, Building semantic models and RAG systems to solve complex business challenges across Supply Chain, Finance, and Logistics, Cultivating a 15% improvement in operational efficiency.
Led the development of MLOps and GenAI best practices within Snowflake, By establishing a robust framework for scalable and reliable AI communication and operations, Creating a 20% reduction in deployment time and ensuring secure and transparent AI usage.
Drove manpower efficiency in Global Supply Chain Operations, By integrating GenAI technologies into core business processes and providing architectural designs, Creating a 25% increase in team productivity and evaluation accuracy.
Leveraging GenAI around Business - CX, and GSC to support business architectures, and data platforms. Reducing complexity of business users to find analysis of data, and find interactive chatbot for speaking with data.
Other Key initiatives taken
Data Science best practices technical architecture implementation using AWS (Using Sagemaker, containerize the entire application using Docker, ECR, ECS to run the docker image in a container)
GenAI Applications scalability by leveraging models from internal server to Snowflake, Tableau, and connecting apps in communication workspaces like Slack, Google Workspace, and Microsoft teams.
Participating in technical Architecture orchestration, Git Integration, CI/CD Pipelines, CMS, and more.

SnowparkDockerSnowflake CortexSnowflakeMLOpsGenAI+1

Jr Data Scientist

Jul 2024 – Dec 2024 · 5 mos · On-site

CV Parsing & Preselection Engine by NLP & GenAI
> Developed an Applicant Tracking System (ATS) to streamline CV processing.
> Implemented Text Classification Algorithm to rank CVs based on the Key Performance Indicators (KPIs), enhancing candidate selection in a specific manner.
> Applied GenAI to deliver reasoning behind candidate rankings, improving the project evaluation.
> Implemented RAG (Retrieval Augmented Generation) to identify key patterns and candidate skills, reducing time-to-hire and enhancing the candidate experience.
B2B Sales Optimization Strategies
> Proposed and designed an automated email system for B2B Sales to identify customer pain points, and increase response rates from Businesses.
> Implemented GenAI Integration with Marketing to track quality leads, contributing to a higher conversion percentage.
Other Contributions
> Automated SageMaker notebook and file backups using CRON jobs, reducing manual effort.
> Optimized S3 storage costs by automating the deletion of old files through CRON jobs, reducing storage expenses.

AWSMachine LearningGenerative AIB2B Sales Optimization

Verchool holdings

Machine Learning Engineer

Jan 2024 – May 2024 · 4 mos · Dubai, United Arab Emirates · Remote

Verchool is a pioneering DeepTech (Virtual Extended Reality & AI) B2B technology development and ventures group building private communities (as product zones) for family business conglomerates, large corporates, and government institutional clients, whilst creating unique VER-AI integrated design and product development IP. The vision is to support 1,000 B2B Zones and millions of users by 2030.
> Developed and executed innovative strategies to optimize LLM Space for B2B products, resulting in a 15% increase in user engagement metrics.
> Utilized Bedrock to create advanced chatbots and tools, improving customer satisfaction by 20%.
> Engineered API for LLM Apps integration into the product, leading to a 30% reduction in customer support tickets.

Machine LearningAmazon Web Services (AWS)Bedrock

Cdp networks

Freelance AWS Cloud Certification Trainer

Oct 2023 – Jun 2024 · 8 mos · Chennai, Tamil Nadu, India · Remote

> Developed and delivered a comprehensive training program for college students and working professionals seeking to transition their careers into AWS Cloud, resulting in a 90% success rate of participants obtaining AWS certifications.
> Adapted seamlessly to the virtual learning environment, leveraging platforms such as Zoom and other online learning tools to facilitate engaging and interactive classes for remote students, reaching a diverse global audience.

Amazon Web Services (AWS)Cloud Computing

Asecurecloud

Applied Scientist Intern

Aug 2023 – Nov 2023 · 3 mos · Toronto, Ontario, Canada · Remote

> Researched and analyzed the market potential for integrating AWS with GenAI Applications, leading to the identification of a $500M market opportunity for Quivr App in AWS.
> Collaborated with cross-functional teams to develop and execute a comprehensive marketing strategy, resulting in a 30% increase in user adoption of the Quivr App on AWS.
> Authored and published a series of scientific blog posts on Medium highlighting the benefits and practical applications of integrating AWS with other models, generating over 10,000 views and increasing brand visibility by 20%.

AWS CloudFormationGenerative AICloud Computing

Aws cloud club st.joseph's group of institutions

AWS Cloud Captain - Co-Organizer

Mar 2023 – Mar 2024 · 1 yr · India · On-site

Meetup.com - https://www.meetup.com/aws-cloud-club-at-st-josephs-group-of-institutions/
Community Page - @AWS Cloud Club St. Joseph's Group of Institutions
>Selected as AWS Cloud Captain, among 50 captains from the world and 10 from India. Created AWS Cloud Club St. Joseph's Group of Institutions, and delivered AWS impacts and efficiencies to students through Technology meetups, Hands-on-Session, and more
>Founding Member of AWS Cloud Club St. Joseph's Group of Institution Community, which is more specified on gathering tech people and sharing technical concepts with others. Provided Technical Talks in the Community leveraging AWS, and GenAI workflows to students and IT Professionals

Stigmata techno solutions

2 roles

MIS Project Document Handler - Larsen and Toubro Project

Jun 2022 – Sep 2022 · 3 mos · India · Remote

> I led the development of the software requirements specification (SRS) for a complex project that involved multiple MSI modules in my previous role. As part of that effort, I created five UML design diagrams to help visualize and communicate the system architecture and functionality to stakeholders.
> Through this work, I was able to streamline inter-module communication, resulting in a 20% reduction in development time and a more efficient and collaborative workflow among team members.
> I was the lead developer tasked with overseeing the development of a complex software system comprising several MSI modules. As part of my role, I created UML design diagrams to help illustrate the system architecture and functionality and spearheaded the development of the SRS to ensure seamless communication between modules and efficient project execution.
> Leveraging my expertise in UML design and SRS development, I successfully guided a team of developers through the creation of a software system comprising multiple MSI modules, resulting in a more streamlined and efficient workflow, improved communication and collaboration among team members, and a 20% reduction in overall development time.

UMLSoftware Documentation

Machine Learning Research Internship

Apr 2022 – May 2022 · 1 mo · India · Remote

> Collaborated with cross-functional teams to design and launch a new AI-powered product, resulting in a 15% increase in revenue for the company.
> Streamlined data processing pipeline, reducing processing time by 30% and increasing the efficiency of the team’s workflow.
> Devised and executed the AI strategy for the MSI project, with a 70% project contribution, resulting in a
successful takeover by Stigmata Techno Solutions.
> Developed a comprehensive AWS False Key detection system utilizing Logistic Regression and Natural Language Toolkit LSTM models to achieve accuracy rates of 75% and prototype accuracy rates of up to 95%, improving security measures by flagging false keys with an accuracy rate of 91%.

Machine LearningTensorFlowNatural Language Processing (NLP)

Ap3 business solutions (india) private limited

Data Science Internship

Feb 2022 – May 2022 · 3 mos · India · Remote

> Collaborated with cross-functional teams to integrate the object detection model into an end-to-end workflow, resulting in a significant reduction in manual effort and cost savings of 50K per year.
> Automated the data pre-processing pipeline to handle a large number of satellite images and reduced processing time by 60%, enabling faster model iteration cycles.
> Enhanced the performance of the image detection algorithm by implementing a new methodology using Convolutional Neural Networks with RPN, resulting in a 40% increase in accuracy for identifying buildings and water bodies.
> Managed a team of 5 interns, overseeing their daily tasks and providing guidance on complex machine learning algorithms, resulting in a 20% decrease in error rates.
> Developed and executed a rigorous training program for the intern team, resulting in a 30% increase in coding efficiency and accuracy.

Machine LearningTensorFlowDeep Learning