Jayati Jain

Software Engineer

Bengaluru, Karnataka, India14 yrs 3 mos experience

Key Highlights

  • Expert in building scalable ML platforms.
  • Led teams to develop innovative data solutions.
  • Strong background in machine learning and data engineering.
Stackforce AI infers this person is a Fintech and SaaS expert with strong capabilities in machine learning and data engineering.

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Skills

Core Skills

MlopsModel DeploymentMachine LearningData EngineeringSoftware DevelopmentCloud Computing

Other Skills

API DevelopmentAd-serving SystemsAgile MethodologiesAirflowAlgorithmsApache KafkaApache SparkAssisted LabellingAzureBatch InferenceBig DataCC#C++CRM

About

Building Scalable ML Platforms at Paypal. Owner of the Model Deployment Platform including LLMs and other generative models. The platform hosts foundational and fine-tuned generative and risk models and manages the model lifecycle from metadata management, fine-grained access control, and multiple inferencing engines like vLLM, Triton and SGLang. The platforms ensures real-time and batch inference SLAs and acts as a base platform for deploying other generative AI solutions like crews and RAG pipelines. Previously, at Oracle OCI, led a team to build a platform for: 1. Synthetic Data Generation 2. Distributed training framework for Tensorflow and pytorch Pytorch workloads. 3. Model evaluation framework for LLMs and speech models. 4. Assisted labelling capabilities using ML models for NER and face detection for auto-labelling in OCI Labelling solution Solved Data challenges at MakeMyTrip for deploying Machine learning models to production. Computing features for model training and real-time serving using stream processing systems like Kafka-streams, Spark streaming and batch processing pipelines in spark with airflow. Acting as a consultant for all things engineering for the Data science team be it data quality or low latency high scale system design At Inmobi, worked on a complex Ad-serving system that serves a relevant Ad for each request that the system gets. Owned the Spark pipelines that provide intelligence to this system for dynamic pricing. At Microsoft, performance tuned our multi-tenant Dynamics CRM backend APIs and developed mobile web services hosted on Azure (Microsoft Cloud-based solution)

Experience

14 yrs 3 mos
Total Experience
3 yrs 2 mos
Average Tenure
1 yr 5 mos
Current Experience

Paypal

Staff Software Engineer

Jan 2025Present · 1 yr 5 mos

  • 1. Model deployment platform including Generative models
  • 2. GenAI Platform that provides features like RAG, MCP, Agents, Crews, LLMs
MLOpsModel DeploymentGenerative ModelsReal-time InferenceBatch Inference

Oracle

Principal Member of Technical Staff

Jan 2022Sep 2024 · 2 yrs 8 mos · Bengaluru, Karnataka, India · Hybrid

  • 1. Built Synthetic Data Generation Platform serving doctor-patient conversation use-case and Text To Speech data generation use-case.
  • 2. Built Distributed Training Platform for deep learning libraries like Pytorch and Tensorflow using Horovod, Pytorch DDP and Tensorflow Distributed and classical ML algorithms using Dask.
  • 2. Built assisted labelling capabilities of using ML models for NER and face detection for auto-labelling in OCI Labelling solution which reduces the time to label by half.
  • 3. Built model and dataset evaluation framework for large language models and speech models.
Synthetic Data GenerationDistributed TrainingModel EvaluationAssisted LabellingMachine LearningData Engineering

Makemytrip

Principal Data Systems Engineer

Aug 2019Dec 2021 · 2 yrs 4 mos · Bengaluru, Karnataka

  • 1. Building machine learning systems for MakeMyTrip. Ranked Homepage Cards for optimising Conversions. Analysed various attribution models; implemented Data Driven (Shapley) Attribution model and then optimised conversion due to Homepage cards using List-wise L2R Model
  • 2. Designed, implemented and productionized Data Pipelines using Spark with Airflow for converting booking and clickstream data into features consumed by Machine Learning models for Pricing, Ranking fed into Redshift, Athena and Redis
  • 3. Built streaming pipelines to read data from Kafka, create model features and write to Redis for model serving requirements
  • 4. Built Data Quality Platform for monitoring data-quality
  • Tech Stack: Airflow, Spark, Kafka, Redis, SQL, AWS, Pandas, Numpy, Linear Regression, Random Forests
Machine LearningData PipelinesData QualityFeature EngineeringData Engineering

Inmobi

2 roles

Software Development Engineer 2

Promoted

Jan 2016Jul 2019 · 3 yrs 6 mos · Bengaluru Area, India

  • 1. Responsible for on boarding all new components to the team. Responsible for designing and coding enhancements in all supply components (10+ in number).
  • 2. Tech Stack – Java, Maven, Jenkins, Jetty, Kafka, Flume, Map-
  • Reduce, Pig, Spark, Oozie and Falcon
  • 3. Owning Ad-serving stack and designed and developed various integrations and third party service calls
  • 3. Developed, tested, deployed and supported Reporting pipelines from scratch using spark with falcon and oozie for revenue numbers.
Ad-serving SystemsJavaSparkKafkaSoftware DevelopmentData Engineering

Software Development Engineer

Dec 2014Dec 2015 · 1 yr · Bengaluru Area, India

Microsoft it

Software Engineer

Jun 2011Oct 2014 · 3 yrs 4 mos · Hyderabad Area, India

  • Developed a WPF Application that automated the execution of BVT
  • Developed Mobile web-services hosted on Azure environment. Conducted Performance Tests to measure through-put and response time of the web services.
  • Performed Java-script and .NET code-coverage in a multi-tenant architecture of Dynamics CRM implementation.
Web ServicesPerformance TestingAzureSoftware DevelopmentCloud Computing

Education

National Institute of Technology Durgapur

B. Tech. — IT

Jan 2007Jan 2011

Kendriya Vidyalaya

Higher Secondary

Jan 2006Jan 2007

St. Gabriel's Academy, Roorkee

English

Jan 2005Jan 2006

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