Shresth Shukla – Universal Approximator

From Wikipedia, the free encyclopedia · (This is ShresthPedia — a personal wiki about Shresth.)

1 Biography

Shresth Shukla is an Indian technologist, content creator, and AI practitioner based in New Delhi, India. He describes himself as a "Universal Approximator" — a nod to the mathematical theorem that inspired his philosophy of constant learning and adaptation.

He graduated with Honours in Mathematics from ARSD College, University of Delhi (2020–2023), before pursuing an M.Tech in Software Systems from BITS Pilani through the Work Integrated Learning Programme (WILP), which he is currently completing alongside his career at EY.

Shresth began his professional journey at Ernst & Young (EY India) in August 2023 as an Analyst, rose to Senior Analyst in October 2024, and is currently an Associate Consultant in the Data and AI practice. His work spans Generative AI, data engineering, computer vision, and Microsoft Fabric-based solutions for global climate data organisations.

2 Career

Associate Consultant - Data and AI

EY India · 10/2025 – Present

Helping UNFCCC with CRT and NDC data integration and AI use cases on top of the climate data using Fabric and Azure AI services. Building Data and AI POCs for client demos.

Azure AIMicrosoft FabricData IntegrationAI POCs

Senior Analyst

EY India · 10/2024 – 10/2025

Enabling AI in data engineering tasks on Microsoft Fabric using Fabric AI Functions. Implemented AI enabled ETL pipelines and transformations to integrate new climate data sources for UNFCCC. Utilized Fabric AI capabilities to bring multilingual data into existing complex data models.

Microsoft FabricAI FunctionsETLData Engineering

Analyst

EY India · 08/2023 – 10/2024

Built 10+ GenAI solutions using Azure OpenAI and RAG architectures. Developed computer vision solutions using YOLO, SAM and OpenCV. Managed Data and AI projects for UNFCCC on Microsoft Fabric, ingesting data for 130+ countries. Built 'Sevak', an automatic voice-based form-filling solution for Indian languages.

GenAIRAGComputer VisionPySparkAzure OpenAISevak

3 Projects

uselessai.in

A tech publication and newsletter focused on practical AI/ML, data engineering, and product building. Shresth founded it as an outlet for long-form guides and weekly digests on the AI ecosystem.

uselessai.in ↗

Sevak

An automatic voice-based form-filling solution built for Indian languages, developed at EY to assist rural users with government service portals. Built using Azure Speech Services and custom NLU models.

Climate Data Platform (UNFCCC)

Designed and managed a large-scale Microsoft Fabric data platform ingesting climate data from 130+ countries for the UNFCCC. Integrated AI-enabled ETL pipelines and multilingual data models to support the CRT and NDC reporting frameworks.

10+ GenAI Solutions at EY

Built over ten Generative AI solutions using Azure OpenAI and RAG architectures for various enterprise clients. Also developed computer vision pipelines using YOLO, SAM, and OpenCV.

4 Education

InstitutionDegreePeriodLocation
YouTubeSelf-Taught Data Science & AI2021 - PresentRemote / Online
BITS PilaniM.Tech in Software Systems (WILP)2023 - PresentPilani, India (Distant)
University of Delhi (ARSD)B.Sc. (Hons) Mathematics2020 - 2023New Delhi, India

Beyond formal qualifications, Shresth is a vocal advocate of self-directed learning — crediting YouTube, open-source communities, and building real projects as the primary vehicles for his AI expertise.

5 Interests

  • Artificial Intelligence & Machine Learning — LLMs, RAG architectures, computer vision, and AI agent design.
  • Data Engineering — Building scalable pipelines on cloud platforms (Microsoft Fabric, Azure, Databricks).
  • Writing & Publishing — Technical long-form writing at uselessai.in and Medium.
  • Teaching & Content Creation — YouTube channel (DataSea) explaining data and AI concepts for practitioners.
  • Mathematics — Abstract algebra, real analysis, and their application to ML theory.
  • Philosophy of Technology — Thinking about how AI reshapes knowledge work and society.
  • Reading — Non-fiction (science, biographies, tech history) and occasional fiction.

6 Podcasts & Content

YouTube — DataSea

Shresth runs the DataSea YouTube channel, where he publishes walkthroughs, tutorials, and opinion pieces on data engineering, AI tools, and career development for aspiring data professionals.

youtube.com/@thisisdatasea ↗

Medium

Long-form technical articles on AI/ML, data engineering, and software systems.

theshresthshukla.medium.com ↗

uselessai.in Newsletter

A weekly AI digest published at uselessai.in. The newsletter curates the most important developments in the AI space with concise commentary and links.

uselessai.in ↗

7 Open Source

Shresth maintains an active GitHub profile where he publishes experiments, portfolio projects, and learning resources.

github.com/shuklaji28 ↗

Notable repositories include this portfolio site (Next.js + TypeScript), AI experimentation notebooks, and tooling built alongside client projects.

"Build in public, learn loudly, and share everything you know." — Shresth Shukla

This page was last updated April 2026 · Content maintained by Shresth Shukla · Return to Portfolio →