Abhijeet Singh Email & Phone Number

Karnataka, India

Bangalore Urban, Karnataka, India

• Stream Ingestion Framework (SIFr) is designed to enable Configuration-driven streaming ETL capability for Chubb's Global Data Platform.
• Standardized event schema - JSON Schema spec and validation via Schema Registry.
• Configuration metadata –Decouple source, sink and data transformation logic from code. High maintainability.
• Stream fault tolerance via DLQs - Error handling of events using dead letter queues. Fault tolerant pipelines.
• Enterprise Data Job Orchestrator – SIFr leverages Databricks Workflows for data job lifecycle management.
• Multi-tenancy - Capability to run use-cases of multiple LoBs on same platform by utilizing logical data separation and resource sharing (within a region). Infra cost optimization.

Bangalore Urban, Karnataka, India

Defining roadmap and Data Strategy (data capture, ETL, analysis and archival) to enable analytics, ML and Data Science use-cases for IBM's F&A Platform.

Pune, Maharashtra, India

Designing scalable architecture for Big Data product and implementing it using cloud-native framework/services: Kubernetes, ELB (App Gateway) and multiple cloud services on AWS, Azure.1. Leading Team of Big Data Engineers/Admins2. Involved in continuous RnD to improvise architecture and propagate the changes to Production3. Involved with IT Asset Team to.

Pune Area, India

Architecting distributed Data & Analytics Platform for enabling varied data workloads and analytical/ML use-cases: Data Archival Strategy, Theme-Oriented Analytics and Stream Stewarding.1. Integrating HDP as scalable Data Platform with the Conversational-AI Product2. Data archival pipeline using Kafka, Spark Streaming and HDFS3. Data Security.

Pune, Maharashtra, India

Designed and developed incremental AI features for SmartBotHub (an Enterprise Conversational Platform). Utilizing Big Data ML stack: Apache Spark, PredictionIO, Hadoop backed storage:1. RNTN-based Sentiment Engine2. Recommendation Engine based on max_entropy for Collaborative Filtering 3. Distributed Architecture for trainers/predictors of NLP Engine

Pune Area, India

Develop Advanced Analytics solutions for the Treasury business. Designing generic themes which can be applied across Treasury Payments: Distributed Deep Learning, Stream (real-time) based scoring using Apache Spark, DL4J and Hadoop ecosystem.

London, United Kingdom

As a Technology Strategy Advisor, helped VuePay to refine its strategy for leveraging Ethereum to deliver a decentralized Ad-revenue platform. Consulted on ICO preparation and defining roadmap.Used Solidity programming and contributed to their Open-Source, ERC-20 compliant token development repo.

Executive Education, Growth Leadership

Master Of Business Administration (M.B.A.), It Strategy And Finance

Activities and Societies: Technology and Operations Club

Bachelor Of Technology (B.Tech.), Computer Science

Activities and Societies: IT Society