---
title: "Shriharsha Konda - Co-Founder, AI & Data Engineering in Bengaluru | Tal"
description: "Meet Shriharsha Konda, AI & ML Engineer | LLM/RAG · Agents (MCP, Claude Agent SDK) · Data Pipelines | Python · SQL | ex-Start.io, ex-EXL · 10+ yrs based in Bengaluru. AI stack includes claude code, claude, and codex."
image: "https://tal.club/meet/shriharsha-konda/share-image"
---

# Shriharsha Konda on Tal

## Headline

AI & ML Engineer \| LLM/RAG · Agents \(MCP, Claude Agent SDK\) · Data Pipelines \| Python · SQL \| ex\-Start\.io, ex\-EXL · 10\+ yrs

## About

Data & AI engineer with 10\+ years across data analytics, machine learning, and data engineering — and, most recently, LLM, RAG, and agent systems\. At Start\.io I built audience and segmentation systems for a real\-time mobile\-advertising platform: app\-text embedding models with XGBoost, Spark/OCI POI clustering, a RAG LLM page classifier, and Python/Jenkins data pipelines — progressing from Data Analyst to Senior Data Engineer\. Earlier, over 5 years at EXL in London, I built statistical models that drove real money: customer\-lifetime\-value \(GLM\), churn and bad\-debt models \(logistic regression, \~82% lift, 3pp churn reduction\), and pricing models worth £440k in value upside\. Most recently, as co\-founder of Appweave Labs, I've gone deep on applied AI: an LLM \+ deterministic\-rules HS\-code classification engine with a swappable multi\-embedder RAG layer \(pgvector\) and an evaluation\-first workflow; an internal multi\-agent platform on the Claude Agent SDK with a hybrid RAG "Brain" exposed as an MCP server and an autonomous bug\-to\-PR coding agent; and production data/analytics tooling\. I care most about the part that decides whether AI actually works: retrieval quality and honest evaluation\. I've worn operator hats too — hiring, client delivery, GTM — but the work I go deepest on, and want to keep doing, is technical: data and AI systems you can trust\. Stack: Python, SQL, R · LLMs, RAG, embeddings, pgvector, model evaluation · XGBoost, scikit\-learn, Spark · LangChain, Claude Agent SDK, MCP · FastAPI, Flask, Next\.js · AWS, Docker, PostgreSQL\.

## Location

Bengaluru

## AI stack

claude code

claude

codex

langchain

obsidian

opencode

## Work experience

Co\-Founder, AI & Data Engineering at Appweave Labs, Feb 2024 \- Present · 2 yrs 9 mos, Bengaluru, • Solo\-built an LLM \+ deterministic\-GRI HS\-code customs\-classification engine \(TypeScript/Next\.js, Postgres/pgvector\) that abstains rather than guess, \~halving confidently\-wrong filings vs\. a single\-shot LLM on benchmark rulings\. • Architected an internal multi\-agent platform \(Python/FastAPI, Postgres/pgvector\) with a hybrid RAG "Brain" \(MCP server\) and an autonomous bug\-to\-PR coding agent on the Claude Agent SDK\. • Led architecture and POCs \(as technical PM\) for a watch\-marketplace data platform's ingestion tooling — deterministic per\-site scrapers \(300\+ tests\), an SSRF\-guarded "scrape\-advisor" agent, and a semantic\-search MCP server — built out by the team\. • Built a founders/admin analytics dashboard \(Flask \+ Next\.js/recharts\) aggregating GMV/MRR/AR/funnel KPIs from production Postgres across four analytics sources behind role\-gated APIs\. • Built the POC and core architecture for Certifico — tamper\-proof credential verification via Solana compressed NFTs \(Metaplex Bubblegum\) with QR — productionised by my team\. • As co\-founder, hired a \~10\-person eng/QA team, owned delivery for 4 clients \(Collected, EXL, Medicle AI, HOA\), and led GTM for an in\-house 3D\-printing product\.

Senior Data Engineer at Start\.io, Mar 2025 \- Mar 2026 · 1 yr 1 mo, Bengaluru, • Implemented a RAG LLM to classify web pages into taxonomies and audiences\. • Built age/gender prediction models from app\-description text embeddings \+ XGBoost\. • Built Spark/OCI clustering of Points\-of\-Interest visits and proximity audiences for top U\.S\. brands\. • Built the JSON\-to\-SQL module for MAIA, an NLP/AI audience\-building platform\. • Established Python/Jenkins data pipelines for third\-party ingestion; built internal Streamlit/Flask tools\.

Data Engineer at Start\.io, Jul 2023 \- Feb 2025 · 1 yr 8 mos, Bengaluru, Karnataka, India

Data Analyst at Start\.io, Mar 2021 \- Jun 2023 · 2 yrs 4 mos, Bengaluru, Karnataka, India

Senior Consultant at EXL, Oct 2019 \- Feb 2021 · 1 yr 5 mos, London, United Kingdom, Ownership of Bundles Proposition analytics, a new entry level product with free trial leading to auto renewal – look at engagement, product survival, operational issues etc\. Mentored a team of 5 offshore analysts in various home services related analysis like drive to online, engineer visit optimisation, customer retention, product performance etc\.

Consultant at EXL, Oct 2018 \- Sep 2019 · 1 yr, London, United Kingdom, Built a model which estimates customer life time value by calculating discounted cash flow over next 5 years for various energy and services products\. Used log linked gamma distributed GLM to model cost to serve, claims risk and logistic regression to predict churn and bad debt propensity – which collectively helped de\-average cost on customer level

Senior Business Analyst at EXL, Oct 2017 \- Sep 2018 · 1 yr, London, United Kingdom, Forecasting Sales and Market Share Built a linear regression model to forecast regional sales, market share and average consumption for a product being priced\. Helped generate a value upside of £440k \(H1 2018\) by optimizing the acquisition price of online only energy products exclusive to price comparison websites Customer Retention Model Built a logistic regression model to predict customer propensity to churn at product renewal using customer demographics and price elasticity \- obtained significant cumulative lift \~82% Implemented the model to pre\-engage price sensitive customers with cheaper deals and realized churn reduction of 3pp

Summer Intern at DRDO, Bangalore, May 2014 \- Jul 2014 · 3 mos, Bengaluru Area, India, Implementation of MATLAB Based GUI for Phased Array Radar System Calculation: Studied basics of radar engineering, developed an application and user interface for radar simulation\.

Steering Committee Member at Avirbhav, University of Allahabad, Sep 2013 \- Mar 2014 · 7 mos, Allahabad, Uttar Pradesh, India, Planning and execution of the college cultural fest attended by close to 500 people\. Supervised a team of 60 organizing members, guided and kept them motivated\. Projected the fest with an organic reach of 4000, and a viral reach of 12000 people\.

Head of Design and Media at Avirbhav, University of Allahabad, Sep 2013 \- Mar 2014 · 7 mos, Allahabad, Uttar Pradesh, India, Designed the branding, posters, website, video trailers for publicity and social media\.

## Education

Bachelor of Technology \(B\.Tech\.\), Electronics and Communication Engineering, University of Allahabad

Senior School, Mathematics and Computer Science, Modi Public School

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

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