hshukla

I am a data-driven engineering professional passionate about bridging the gap between scalable platform architecture and advanced machine learning. I hold an MBA in Data Analytics from the Goa Institute of Management and a Bachelor of Technology. Currently, I drive high-impact data and platform engineering as a Senior Executive at Prodapt.

At Prodapt, I have been a pivotal contributor to the Nucleus flexware project, a major initiative designed to replace a legacy Ericsson orchestrator with our in-house software to manage massive-scale network infrastructure. Operating within the Service Assurance division, I laid the foundational data architecture by building a time-series ingestion pipeline into InfluxDB, successfully scaling it to support 50,000 devices utilizing consistent hashing. As the project neared a critical delivery phase, I engineered the DBOR microservice, taking sole responsibility for the initial onboarding of 22,000 Juniper NFX devices. I built a robust backend system that processes 55-column Excel batch uploads, maps incoming data across a complex six-table database schema, triggers device provisioning, and fetches additional network states.

Driven by my long-term aspiration to become a Data Scientist, I continuously leverage my backend infrastructure expertise to build machine learning proofs-of-concept, translating raw chassis, interface, CPU, and storage telemetry into predictive use cases and actionable insights. To deepen my expertise in the ML lifecycle, I earned my Databricks Machine Learning Associate certification. My versatile, end-to-end impact across data engineering, microservices, and predictive modeling was recently recognized with the AI Adoption Project of the Year award at Prodapt PACE, underscoring my commitment to driving enterprise-scale automation.