Jyoti S.

Lead ML Engineer

Bengaluru, Karnataka, India9 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in transforming AI research into scalable ML systems.
Proven track record in developing impactful AI solutions.
Strong background in data analysis and machine learning.

Stackforce AI infers this person is a Data Science and Machine Learning expert in the SaaS industry.

Contact

Skills

Core Skills

Machine LearningSolution ArchitectureChatbot DevelopmentNatural Language ProcessingData ScienceData AnalysisProduct Management

Other Skills

AWS SageMakerAWS servicesAmazon Web Services (AWS)Azure DatabricksAzure Kubernetes Service (AKS)BERTBig DataBusiness TransactionsCluster AnalysisCouriersData EngineeringData MiningData VisualizationDeep LearningGoogle Analytics

About

With 9 years of experience, I transform cutting-edge AI research into production-grade ML systems that are scalable, efficient, and impact-driven. I thrive where algorithms meet architecture, designing solutions that not only work but perform at scale. 💡 I code to solve, architect to optimize, and innovate to create impact. Python, DSA, and complex algorithmic challenges fuel my passion, and I enjoy hacking through tough problems, building feedback-driven AI pipelines, and contributing to open-source. I aim to push boundaries, elevate team practices, and craft AI solutions that deliver tangible results, not just models.

Experience

9 yrs 9 mos

Total Experience

2 yrs

Average Tenure

1 yr 8 mos

Current Experience

Servicenow

Staff Machine Learning Engineer

Oct 2024 – Present · 1 yr 8 mos

Developed bias-detection logic within the recommendation orchestrator to identify when high rule-based scores were overshadowing model accuracy, and implemented a weighting scheme that prioritizes model/agent accuracy over business-rule relevance—resulting in more relevant recommendations and improved user experience.
Designed and implemented a robust feedback loop system to enhance decision accuracy within our orchestration framework. I identified and resolved critical flaws in the existing routing logic that had been causing misdirected outputs, particularly in dynamic content delivery and personalization workflows. By aligning the orchestration logic with real-time user interactions and model feedback, I ensured the system could self-correct, adapt, and improve continuously. This not only stabilized delivery pipelines but also significantly improved the relevance and reliability of outputs for end-users.
Collaborated closely with the UX research team to perform in-depth user journey analysis, uncovering friction points and behavioral patterns across the platform.

bias-detection logicrecommendation orchestratorfeedback loop systemrouting logicuser journey analysisMachine Learning+1

Thomson reuters

Senior Applied Data Scientist

Aug 2022 – Sep 2024 · 2 yrs 1 mo · On-site

I introduced the concept of incremental training for unsupervised models and concept of better drift management .
Developed a comprehensive customer service assistant chatbot spanning all product segments, employing cutting edge RAG architecture. Leveraged a suite of advanced large language models (LLMs) including ChatGPT 4, LLama2, and Mistral to enhance conversational capabilities. Orchestrated deployment of the solution utilizing AWS services, ensuring scalability and reliability.
Worked on Service Now incident Clustering project and transformed incident management in ServiceNow,
Build and deployed multiple end to end model training and monitoring framework using AWS services.
Developed a personalized Reuters news recommendation system leveraging reinforcement learning to optimize user engagement based on real-time feedback

incremental trainingdrift managementcustomer service assistant chatbotRAG architecturelarge language modelsAWS services+4

Ey

Assistant Manager-AIML team

May 2021 – Aug 2022 · 1 yr 3 mos · Gurugram, Haryana, India

Strategy -Data Science & ML- leveraged BERT and built nlp applications around it. Build some text analytics solutions targeting the entire survey data analytics.
Introduce the concept of real-time analytics for ongoing surveys.
Built an interactive chatbot using NLP techniques and functionality

BERTNLP applicationsreal-time analyticsinteractive chatbotNatural Language ProcessingMachine Learning

Hear.com

Machine Learning Engineer-Global Data Science Team

Feb 2020 – Apr 2021 · 1 yr 2 mos · Gurugram, Haryana, India

Worked as a data scientist -global team for Germany and US.
Opportunity scoring was one of my successful project which was deployed and used by businness.
Have worked upon number of predictive models-first call score,
opportunity scoring
gong sentiment analysis,
lead reachability,
Time to first appointment,
Time series forecasting-monthly sales using holt winter

predictive modelsopportunity scoringsentiment analysistime series forecastingData ScienceMachine Learning

Paytm

3 roles

Machine Learning Engineer

Oct 2018 – Jan 2020 · 1 yr 3 mos

The year I got opportunity to switch from analytics to engineering and have shifted to a next level during last 1 year of my tenure.
There was versatility in my work throughout my tenure and have gained great skills and tech know how for long run.
Statistical analytical skills, such as distributions, statistical testing, regression, machine learning algos etc to monitor every aspect of our cluster.
(Web crawling +analytics+Browser killing of bad jobs ) Initiated ideas and implemented them in quick span of time.
learned javascript and react and did one big project(developed an app)in same with collaboration of team.
Worked as a Data-driven problem-solver-and analysed cluster performancea and cost along with other metrics required to take good decision at product front.

statistical analysisweb crawlingJavaScriptReactdata-driven problem-solvingMachine Learning+1

Product Analyst-Paytm Payment Gateway Product

Promoted

Dec 2017 – Nov 2018 · 11 mos

It involves descriptive and prescriptive analysis of payment gateway products in order to optimize the customer experience and boost business requirements
Working with number of product managers to monitor the functioning of various PG product
Publishing automated reports ,making dashboard, forecasting and making decision tree, predictive analysis to monitor the performance of payments product along with customer experience .
Enhancing user growth and improving retention rate of users.
. Fluent on R programming, hadoop, hive, advanced sql, automation of reports and dashoard,advance google analytics,python web application and webscrapping

descriptive analysisprescriptive analysisautomated reportsdashboard creationpredictive analysisData Analysis+1

CS Product -ops Analyst

May 2016 – Nov 2017 · 1 yr 6 mos

Role was to find the customer experience and improving product gaps existing in the system.
Building contact ratio reports to monitor the customer complaints and product issues.
Building dashboard through R for monitoring of payments products and issues.
. Worked on various tools to monitor user issues and system gaps at product level

customer experience analysisdashboard buildingmonitoring toolsData Analysis