Guru Dutt Taluja

Machine Learning Engineer

Bengaluru, Karnataka, India4 yrs 10 mos experience

Most Likely To Switch

Key Highlights

Expert in Machine Learning and MLOps.
Proven track record in enhancing user engagement.
Skilled in developing real-time recommendation systems.

Stackforce AI infers this person is a Data Science expert with a focus on Machine Learning and user engagement optimization.

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Skills

Core Skills

Machine LearningMlops

Other Skills

C (Programming Language)Computer NetworkingComputer VisionData Structures and AlgorithmsDatabase Management System (DBMS)Deep LearningFastAPIFeature EngineeringGoogle Cloud PlatformJavaLambdaMARTLarge Language Models (LLM)MySQLProblem SolvingPySpark

About

Hey there! I'm Guru Dutt Taluja, a software developer working in data science.

Experience

4 yrs 10 mos

Total Experience

1 yr 7 mos

Average Tenure

2 yrs 9 mos

Current Experience

Glance

2 roles

Machine Learning Engineer III

Promoted

Jan 2025 – Present · 1 yr 5 mos

Machine Learning Engineer II

Sep 2023 – Jan 2025 · 1 yr 4 mos

Projects
1. Developed models to generate 3D assets and textures from prompts using Stable Diffusion and large language models (LLMs), optimizing their use in games to drive higher user engagement.
2. Enhanced the home page by introducing a personalized recommendation model, resulting in a ~40% increase in user engagement and an ~80% improvement over the universal control group (DAU: 10M users).
3. Developed a widget ranking model to optimize the placement of homepage widgets.
Built a proof-of-concept, graph-based real-time recommendation system for vanishing value propositions.
4. Created APIs and end-to-end pipelines for model integration, ensuring seamless deployment on the Google Cloud Platform.

Stable Diffusionlarge language models (LLMs)personalized recommendation modelGoogle Cloud PlatformMachine LearningMLOps

Mobile premier league (mpl)

Data Scientist II

Jun 2023 – Aug 2023 · 2 mos

Gojek

Data Scientist

Jun 2022 – Jun 2023 · 1 yr

Projects -
1.Home Page Ranking: implemented learning-to-rank algorithms, TensorFlow ranking, for GoFood's home page. The results were a remarkable 10% boost in booking conversion from the homepage. Our efforts contributed to over $600K incremental GTV per month.
2.Dish Ranking: Elevated the dish ranking experience on GoFood by leveraging LambdaMART, we achieved a 5% increase in booking conversion from the dish ranking funnel. Our improvements directly impacted customer satisfaction and generated significant revenue growth.

learning-to-rank algorithmsTensorFlow rankingMachine Learning

Lenskart.com

Tech@Lenskart (Data Science)

May 2021 – Jun 2022 · 1 yr 1 mo

Projects -
1. Personalized Sorting: Data Science model to sort products on product listing page based on user's past interactions using collaborative filtering.
2. Visual Search: Implemented object detection with custom dataset to identify product attributes and used image similarity to find products similar to anchor image.
3. Frame size tool: Data Science model to predict frame size of a user using facial attributes as features (Impact double digit decrease in returns and increase in conversions).
4. Curated Recommendations: Data Science model to create a personalized list of products for every user based on thier implicit ratings.
5. View similar algorithm: Data Science model to recommend products similar to an anchor product.