Abhijeet Singh is a Data Platform Lead Architect with nine years of experience engineering and delivering large-scale ML/AI and analytics pipelines across the Big Data stack. He designs enterprise-grade data-to-information solutions using Spark Streaming, MLlib, Kafka, Cassandra, Druid, and Snowflake, and orchestrates data workflows with Databricks Workflows. At Chubb, he standardized event schemas with JSON Schema and Schema Registry, decoupled configuration metadata, implemented dead-letter queues for fault-tolerant pipelines, and built an enterprise data job orchestrator (SIFr). He has led Big Data engineering teams at IBM and SmarTek21, and currently applies his combined Big Data and ML expertise to modernize data platforms in India. His background blends IT strategy and finance with hands-on data engineering, backed by an MBA and executive leadership training from Stanford, enabling tech decisions that impact business outcomes. Outside work, he pursues music and arts through soft-synths and generative AI, reflecting a curiosity-driven approach to technology.
9 years of coding experience
7 years of employment as a software developer
Executive Education, Growth Leadership, Executive Education, Growth Leadership at Stanford University Graduate School of Business
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at KIIT - Kalinga Institute of Industrial Technology
Master of Business Administration (M.B.A.), IT Strategy and Finance, Master of Business Administration (M.B.A.), IT Strategy and Finance at KIIT School of Management (KSOM), Bhubaneswar
A Python 3 port of Encore.AI: Generate new lyrics in the style of any artist using LSTMs and TensorFlow.
Contributions:3 pushes in 1 year 2 months
nlpartistpythondeep-learningmachine-learning
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