---
title: "Shriharsha KR - Data Engineer in Bengaluru | Tal"
description: "Meet Shriharsha KR, Data Engineering Specialist | Demand Intelligence Platforms | Distributed Systems | AI Orchestration | LLM Fine-tuning | GenAI Automation based in Bengaluru. AI stack includes hugging face, langchain, and langgraph."
image: "https://tal.club/meet/shriharsha-kr/share-image"
---

# Shriharsha KR on Tal

## Headline

Data Engineering Specialist \| Demand Intelligence Platforms \| Distributed Systems \| AI Orchestration \| LLM Fine\-tuning \| GenAI Automation

## About

I build the data and intelligence backbone for large\-scale talent intelligence systems, working at the intersection of data engineering, applied machine learning, and AI\-driven reasoning\. Currently, I am developing a demand aggregation platform that consolidates hiring signals from job boards, career sites, and other external sources across \~8\.9 lakh companies\. This involves ingesting high\-volume, multi\-source datasets and transforming unstructured and semi\-structured data into a standardised, queryable format — at a scale exceeding 300 million records\. On the Engineering side, I design and implement scalable, fault\-tolerant data pipelines using distributed processing frameworks, with a strong emphasis on low latency, production readiness, and multi\-dimensional data modelling\. This includes batch and near real\-time processing, workflow orchestration, data partitioning, and storage optimisation to ensure pipelines are reliable, performant, and cost\-efficient\. I also build production\-grade scraper engines with modular adapter patterns, anti\-detection, and lifecycle tracking to handle large\-scale web data acquisition\. On the AI and data science side, my work spans the full applied AI spectrum — from fine\-tuning domain\-specific LLMs and building RAG pipelines to designing multi\-prompt LLM chains and hybrid enrichment workflows that combine algorithmic cleaning with batch LLM processing at scale\. This includes model\-in\-the\-loop systems for entity resolution, job taxonomy classification, skill extraction, demand signal normalisation, compensation intelligence, and record linkage — problems that sit at the boundary of structured data engineering and applied NLP\. Beyond pipelines, I build analytics and BI layers that translate raw intelligence into enterprise\-ready outputs — dashboards, automated reports, and benchmarking tools that product and business teams actually use\. I spend most of my time thinking about system design, data modelling, and performance optimisation, and I am particularly interested in building systems where AI is not a bolt\-on but a core processing layer deeply integrated into the data pipeline itself\. I work cross\-functionally with product, AI, and analytics teams to translate evolving requirements into scalable, production\-grade data systems\.

## Location

Bengaluru

## AI stack

hugging face

langchain

langgraph

ollama

## Work experience

Data Engineer at HireSense\.ai, Mar 2025 \- Present · 1 yr 3 mos, Bengaluru, Built a large\-scale demand aggregation platform capturing hiring signals across job boards, career sites, and web sources, covering \~8\.9 lakh companies and 300M\+ records\. Infrastructure & Engineering Built a production\-grade scraper engine with modular ATS adapters, proxy integration, anti\-detection, rate limiting, and structured output validation\. Implemented job lifecycle tracking with deduplication, delist detection, and historical snapshot versioning\. Developed scalable ETL/ELT pipelines with parallel ingestion, fault tolerance, and schema standardisation Implemented entity resolution, deduplication, and data standardisation pipelines for company, role, and skill\-level mapping\. Designed batch and near real\-time processing with workflow orchestration, data partitioning, and storage optimisation\. Applied AI & LLM Engineering Architected a custom AI orchestration layer for large\-scale semantic enrichment — entity resolution, job title normalisation, skill extraction, and demand signal classification\. Designed a multi\-prompt LLM chain for automated talent intelligence reports, Master Prompt for taxonomy, Normalisation Prompt for candidate mapping, Observation Prompts for insights Built a Streamlit\-based tool enabling non\-technical SMEs to generate AI\-powered intelligence reports without coding\. Built a compensation intelligence pipeline, archetype lookup, skill clustering, salary percentiles, skill premium analysis, and automated report generation\. Developed a hybrid LLM enrichment pipeline combining algorithmic cleaning with batch LLM processing at scale\. Fine\-tuned domain\-specific LLMs with measurable accuracy gains over zero\-shot baselines\. Analytics & BI Built Power BI dashboards for talent analytics, compensation benchmarking, and competitor intelligence for enterprise clients\. Delivered an end\-to\-end telecom churn prediction model integrating data extraction, predictive modelling, and BI reporting

Analyst at Enstoa, Oct 2022 \- Oct 2023 · 1 yr 1 mo, Remote, \- Designed and implemented Power BI dashboards for tracking ticket statuses and priorities across multiple clients, reducing reporting time by 25%\. \- Maintained and optimized numerous BIP reports using SQL, enhancing data accuracy by 20%\. \- Collaborated with solution teams on report development and work orders, improving project delivery timelines by 15%\. \- Streamlined customer issue resolution processes, achieving a 95% resolution rate within SLA timelines\.

Junior Analyst at Enstoa, Nov 2021 \- Oct 2022 · 1 yr, Bengaluru, Karnataka, India, \- Addressed complex data issues and provided client\-facing solutions using Power BI and SQL\. \- Delivered ad\-hoc analysis and visualizations, enhancing decision\-making capabilities for clients\. \- Served as the primary point of contact for BI problem resolution, achieving a 98% client satisfaction rate\.

Data Science Intern at INNODATATICS \* Innovation \| Data \| Analytics, Mar 2021 \- Apr 2021 · 2 mos, Bengaluru, Karnataka, India

## Education

Bachelor of Engineering \- BE, Information Science and Engineering, SDM INSTITUTE OF TECHNOLOGY \(SDMIT\), UJIRE

[View the original profile](https://tal.club/meet/shriharsha-kr)

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