P

Padma Chitturi

CTO

Bengaluru, Karnataka, India14 yrs 7 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • Gold Medalist in Computer Science
  • Author of Apache Spark for Data Science Cookbook
  • Built next-gen AI infrastructure for leading tech companies
Stackforce AI infers this person is a Data Engineering and Machine Learning expert with extensive experience in SaaS and Travel Tech.

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Skills

Core Skills

Machine LearningData InfrastructureData ProductsBig Data SolutionsAi ProjectsData EngineeringDatabase ManagementEtl Processes

Other Skills

AWS LambdaAkkaAlgorithmsAmazon ECSAmazon Web Services (AWS)AnalyticsApache AirflowApache KafkaApache SparkApache Spark GraphXApache Spark StreamingArtificial Neural NetworksBig DataCassandraComputer Science

About

Gold Medalist, Author of Apache Spark for Data Science Cookbook 13+ years of experience with deep expertise in driving and building Platform, Infrastructure and AI driven data products over large scale distributed systems in the areas of Travel, Job Search, Finance, CPG, Defence sectors. Experience in leading medium to large teams towards product delivery and provide technical, domain and thought leadership. Worked with multiple cross geographically located teams, stakeholders, product & engineering leaders in defining the technical & product direction for the teams Highly results oriented with bias towards action. Strong expertise in distributed systems & data science, strategic with analytical skills and follows agile approaches of solution development. Key Accomplishments: ▸ Indeed - Built Next generation AI Infra for hosting and serving AI models and led the effort of transforming Indeed Search and Recommendation systems with Gen AI. ▸ Expedia - Built Competitive Intel products for Travel Partner Group (360 degree view of lodging) using Spark, GraphFrames, Image match (P-hash), NLP, ElasticSearch and GraphQL & enabled Partner Success business teams in lead generation and property retention. ▸ Thales - Anomaly detection on Videos (security surveillance- using Spark Streaming, Kafka, OpenCV & techniques such K-means, mapping 3D image to 2D, BoV) ▸ Proctor&Gamble - Building propensity models using supervised techniques (LogisticReg, RF, XGBoost) at large scale (Spark RDD/DataFrames & ML Pipelines) ▸ Amadeus - Real-time Streaming Solution for Airlines(Finnair, Lufthansa - using Kafka, Spark Streaming and Cassandra) ▸ Impetus - Built the capability of Distributed Deep Learning over Spark inspired from Jeff Dean’s Large Scale Distributed Deep Networks.

Experience

14 yrs 7 mos
Total Experience
2 yrs 2 mos
Average Tenure
1 yr 5 mos
Current Experience

Uber

Engineering Leader, Platform Infrastructure

Dec 2024Present · 1 yr 5 mos · Bengaluru, Karnataka, India · Hybrid

  • Leading 3 independent team charters in Data / Database Infrastructure , Data Security & Reliability engineering

Indeed.com

Senior Engineering Manager, Machine Learning Platform

Jun 2021Dec 2024 · 3 yrs 6 mos · Bengaluru, Karnataka, India · Hybrid

  • Built the Data & ML Infra platform in India, hired across roles - Full stack & Data Engineers. Led team of 25+ members across US & APAC. The platform is used by Matching Science, Sales, Marketing, Search systems for model training , experimentation, serving, feature store and observability.
  • ML Infra & Feature Store Platform:
  • ▸ Led the team deliver innovative solutions like Self served No code model serving platform streamlining the MLOps and reduced the deployment time from 3-4 weeks to 1-2 days
  • ▸ Enabled fine tuning & auto scaling of the inference servers and transformed Indeed Search systems with Gen AI models
  • ▸ Brought in innovations like building a Load testing platform and scaled the services enabling performance testing of model serving applications.
  • ▸ Built Feature store platform synchronising real time events and provisioned online & offline store for low-latency, high throughput use cases (candidate recommendation to Employers & Job recommendation to Jobseekers)
  • ▸ Responsible for setting up team structure handling 24X7 availability of ML Services.
  • ML Platform Bridge Team:
  • ▸ Being part of ML Leadership council, established Org wide strategy collaborating with multiple Science & ML leaders across business groups and set up vision for Unified ML platform.
  • ▸ Drove the Org level OKRs aligning with the vision and mission of building unified ML platform.
  • ▸ Established shared ML platform architecture spanning across teams and devised strategy for execution path for the teams
  • ▸ Set up the vision and team charter across US, India and Tokyo and enabled the teams to deliver work streams with effective knowledge transfer and collaboration.
MLflowKubernetesGPUGrafanaApache SparkAmazon Web Services (AWS)+10

Expedia group

Engineering Manager, Marketplace Dynamics, Machine Learning

Mar 2018May 2021 · 3 yrs 2 mos · Bengaluru, Karnataka

  • ▸ Being the first employee of Vrbo.com (Part of Expedia Group) in Bangalore, helped in building technology team and ramp-up the members.
  • ▸ Led a high performing team of 12+ towards design and development of Data products.
  • ▸ Set up team vision and charter, career development, performance management, hiring etc
  • ▸ Led the team in design, development and delivered Data products for Travel Partner Group
  • providing 360-degree view of Vacation rental properties. Leveraging image and NLP techniques for matching properties, derived insights at property and destination level using Graph which are used by Partner success team for Partner acquisition/property retention.
  • ▸ Drove the delivery of de-duplication Models the properties hosted on Expedia and enabled Partner Success teams in property acquisition and retention
  • ▸ Recognised as crucial engineering leader for driving market insights data products that helped in recovery of travel during COVID-19.
  • ▸ Create unique value proposition of the data products. Work with stakeholders, product owners, cross functional and cross geography teams to create roadmap ,ideation and execution
Apache SparkElastic SearchApache AirflowScalaNatural Language Processing (NLP)Random Forest+4

Fractal

Lead Data & Machine Learning Engineer

Feb 2016Apr 2018 · 2 yrs 2 mos · Bengaluru Area, India

  • As the first employee of Big Data and AI capability group @Fractal.ai, built and setup technology team of 20+ from scratch across Bangalore & Mumbai locations
  • As a hands on Leader, Led AI projects for clients in the domain of FSI, CPG and Defence. Expertise in Pre-sales and Consulting for clients, having a track record of onboarding clients with data scale problems to Fractal.
  • ♦ Lead teams in designing and developing Big Data Solutions for analytical problems at large scale.
  • ♦ Hiring, retaining great talents, coaching and mentoring.
  • ♦ Worked with pre-sales and sales teams in creating unique value proposition of the technology driven solutions
  • Projects/Problems Addressed:
  • 1. Worked with CPG and FSI clients in building Propensity models and implementing Customer Genomics (Probabilistic Learning Algorithm) on Spark.
  • 2. Built Customer propensity models using some of the supervised techniques such as LogisticReg, RandomForest, XGBoost at large scale leveraging Spark RDD/DataFrames & ML Pipelines.
  • 3. Build Security Surveillance systems using OpenCV, Spark, BoV and Elastic Search
  • 4. Worked with one of the FMCG company in developing a real-time anomaly detection system using Kafka, Spark-Streaming and Cassandra.
  • 5. Good expertise in statistics, regression analysis and clustering problems.
Apache SparkPythonComputer VisionHiveRandom ForestLogistic Regression+2

Amadeus labs

Senior R&D Engineer-BigData

Jun 2015Feb 2016 · 8 mos · Bengaluru Area, India

  • 1. Worked as Senior Engineer in developing operational data store for Airlines.
  • 2. Worked with kafka, Spark Streaming, Data Frames & Cassandra.
  • 3. Involved in architectural decisions of ETL and DB.
  • 4. End to End development and evaluating the performance of the product.
  • 5. Ensure data integrity and fault-tolerance.
  • 6. Resolved technical issues pertaining to Concurrent writes, handling write failures, shuffle issues, memory issues etc.
  • 7. Deep expertise in tuning internals of Spark.
  • 8. Research on technical aspects that would be applicable for the product.
Apache Spark StreamingApache KafkaCassandraScalaBig Data SolutionsData Engineering

Impetus

Research Engineer

Sep 2013Jun 2015 · 1 yr 9 mos · Bangalore

  • 1. Worked as Research Engineer in Big Data Labs
  • 2. Worked with Real time analytics projects.
  • 3. Worked on Hadoop ecosystem and related POCs
  • 4. Contributor to Apache Storm. Implemented ML algorithms over Storm.
  • 5. Implemented large scale deep networks over Spark.
  • 6. Implemented realization of deep learning for NLP tasks over Spark.
  • Experimented on Text Mining, Data Mining, Information Retrieval, Neural Networks and NLP.
Apache SparkArtificial Neural NetworksScalaBig Data SolutionsMachine Learning

Tata consultancy services

System Engineer

Aug 2011Aug 2013 · 2 yrs · Hyderabad Area, India

  • 1. Worked on ETL tools – MS SQL Server Integration services (SSIS) and reporting tools SQL Server Reporting Services (SSRS)
  • 2. Worked on evaluating the performance of SQL Server 2008 R2 on Windows Server 2012.
  • 3. Worked as SQL developer. Developed many optimized SQL queries.
  • 4. Experience in resolving memory issues and Performance tuning of SQL queries
Microsoft SQL ServerSQL Server Integration Services (SSIS)SQL Server Reporting Services (SSRS)Database ManagementETL Processes

Education

Jawaharlal Nehru Technological University

Bachelor of Technology (B.Tech.) — Computer Science

Jan 2007Jan 2011

Gowtham Junior College of Intermediate, Vijayawada

Intermediate

Jan 2005Jan 2007

St. Francis De Sales High School

SSC

Jan 2004Jan 2005

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