Rahul Tibrewal

Director of Engineering

Bengaluru, Karnataka, India14 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Proven track record in AI and data engineering.
Expert in building scalable fraud detection systems.
Strong leadership in nurturing high-performing teams.

Stackforce AI infers this person is a Fintech expert with a strong focus on AI and data engineering.

Contact

Skills

Core Skills

AiData EngineeringFraud DetectionData ScienceMachine Learning

Other Skills

AlgorithmsAndroid DevelopmentApache SparkBig DataCC++Computer ScienceData AnalyticsData PipelineData PlatformData ProductsData StructuresDecision Making Rule EngineDecisioning SystemsDeep Learning

About

As a seasoned Engineering Leagder with a strong technical background, I specialise in solving complex real-world problems and making a meaningful impact. With a proven track record of building healthy organisational cultures, coaching and nurturing teams, and fostering a winning mindset that drives success, I have honed my skills in delivering cutting-edge solutions that drive business growth. I bring a unique skillset to the table, having worked on both software engineering and ML engineering. My hands-on experience in designing and building large-scale, distributed systems has equipped me with the ability to take sound architectural decisions while keeping engineering basics in mind. Additionally, I have been a key contributor to the design and product aspects of every project our teams have shipped.

Experience

Zeta

5 roles

Director of Engineering, Data Platform and Data Science

Promoted

Jul 2025 – Present · 8 mos

Leading all Initiatives on AI across Zeta
Building Data Products for Credit Underwriting Strategy, Line Management Strategy and Collection Strategy for large credit Issuers.
Building Agents to automated Support and Operation
Leading the Data Platform team for Zeta
Building Data Platfrom solving security, compliance and scale to handle Banking data.
Building and Managing Data Analytics and ML Ops Platform

AIData ProductsData PlatformData AnalyticsML OpsData Engineering

Sr. Engineering Manager, CTO Office

Jul 2024 – Aug 2025 · 1 yr 1 mo

Leading all Initiatives on AI across Zeta (Quark)
Building Data Products for Credit Underwriting Strategy, Line Management Strategy and Collection Strategy for large credit Issuers.
Building Data Products for supporting Decisioning Systems to improve Fraud Decisions and Reward Decisions
Building Agents to automated Support and Operations

AIData ProductsDecisioning SystemsData Engineering

Sr. Engineering Manager, Fraud and Risk Management

Promoted

Jan 2023 – Jun 2024 · 1 yr 5 mos

Built scalable fraud evaluation systems
Built a team from ground up of more than 15 engineering including Backend Developers, Data Engineers, ML engineers and Applied Scientist.
Feature store for storing and fetching aggregated features, read time < 15 ms at thousand of requests per minute.
Decision making rule engine that can evaluate millions of rules per minute
Integration with all issuer and acquirer side payment products including UPI.
Knowledge graph of users to understand their fraud patterns
Investigation platform (Case Management system) for human validation and learning for ML models
ML training and inference platform for fraud models, 10+ risk models in production for risk scoring based fraud detection

Fraud Evaluation SystemsFeature StoreDecision Making Rule EngineKnowledge GraphML Training and InferenceFraud Detection+1

Senior Data Scientist (Manager)

Jul 2020 – Dec 2022 · 2 yrs 5 mos

Data Scientist II

Sep 2018 – Jun 2020 · 1 yr 9 mos

Inshorts

Data Scientist

Mar 2016 – Sep 2018 · 2 yrs 6 mos · Noida, Uttar Pradesh, India

Inshorts is a news aggregation startup that summarizes articles in 60 words. My responsibilities include designing and implementing statistical algorithms on user and news data, as well as mining Big Data to provide analytics.
News Recommendation Engine
Designed and implemented a neural collaborative filtering algorithm based on learned user and item embeddings. Achieved over 15% improvement in NDCG and MAP metrics over baseline. [Patent Pending]
Personalized Notifications
Implemented a neural embedding based classifier to predict notification click-through. Also designed a heuristic based approach to automatically select notifications to personalize.
Text Summarization
Implemented a single-document extractive summarizer using a graph-based sentence saliency approach based on LexRank.
Uninstall Analysis
Implemented an LSTM based system to predict if a user is going to uninstall the app, using user activity time series data. Achieved over 80% classification accuracy.
ETL Pipeline
Designed the ETL data pipeline using kafka for streaming, spark for processing and parquet to store the data. Enabling user side data analytics and modeling of complex models like collaborative filtering.

Statistical AlgorithmsBig DataNeural Collaborative FilteringETL PipelineData ScienceMachine Learning

The d. e. shaw group

2 roles

Senior Member Technical

Promoted

Jun 2015 – Feb 2016 · 8 mos

Worked as a part of the Long-Short Strategy team to spearhead python development. This involved data modeling for meta-analyzing future growth of companies. Development of portfolio management tools and tactical projects aimed to provide data to aid in better business decisions.
Transactional Data Analytics
Implemented a data pipeline to store, query and analyze transactional data. Designed the pipeline for complex query optimisation and efficient query caching on the dataset.

Data PipelineTransactional Data AnalyticsData Engineering

Member Techical

Jul 2013 – Jun 2015 · 1 yr 11 mos

Working on Long - Short Strategy

Iiit hyderabad

5 roles

Teaching Assistant - Internals of Application Server

Jan 2013 – May 2013 · 4 mos · Greater Hyderabad Area

Research Assistant - Building Science Research Center

Jan 2013 – May 2013 · 4 mos · Greater Hyderabad Area

Worked on the server side setup and parallel processing for CoolRoofCalculator, a research project used for running online simulations on EnergyPlus, based on parameters like location, building type, roof area, surface properties.

Apex Body Head

Apr 2012 – Aug 2012 · 4 mos · Greater Hyderabad Area

Apex Body takes care of the complete registration and orientation process of the freshmen coming into the college including issues like ragging, allotment procedures etc.

Teaching Assistant - Engineering Systems

Jan 2012 – Apr 2012 · 3 mos · Greater Hyderabad Area

Felicity Coordinator

Jul 2011 – Feb 2012 · 7 mos · Greater Hyderabad Area

Felicity is the annual cultural-techical fest of IIIT Hyderabad. One of the three coordinators of the fest.

Progress software

Internship

May 2012 – Jul 2012 · 2 mos · Greater Hyderabad Area

Worked on a parser for a language, which can recover output syntax trees with errors tagged appropriately. Extended the parser to create an abstract syntax tree, which was consumed to create a dependency graph displaying all class paths.