---
title: "Dinesh Gaddi - Data Science Manager in Mumbai | Tal"
description: "Meet Dinesh Gaddi, Data Scientist based in Mumbai."
image: "https://tal.club/meet/dinesh-gaddi/share-image"
---

# Dinesh Gaddi on Tal

## Headline

Data Scientist

## About

To be a trustworthy person both as a professional and a man

## Location

Mumbai

## Work experience

Data Science Manager at Qyrus, Mar 2026 \- Present · 4 mos, Mumbai, Maharashtra, India, Building an AI\-powered code analysis and modernization platform for IBM AS400 systems using RAG architecture\. Implemented smart code ingestion, dependency graph generation, and metadata\-aware embeddings stored in Milvus for high\-accuracy retrieval\. Developed LLM\-driven APIs to automatically generate business rules, system design, migration strategy, and technical documentation\. Focused on scalable, enterprise\-grade architecture with visualization, knowledge graphs, and automated document generation\.

Data Science Manager at Quinnox, Jan 2018 \- Feb 2026 · 8 yrs 2 mos, Mumbai Metropolitan Region, Delivered innovative AI\-powered solutions that bridge the gap between human language and complex technical systems, enabling faster decision\-making, improved efficiency, and modernization of legacy processes\. Reduced IT ticket routing time by 70%, accelerated documentation creation from weeks to hours, and empowered non\-technical teams to access and analyze data effortlessly\. Key Achievements & Responsibilities: Developed a suite of AI Agents — TalkToDB, TalkToDocument, TalkToCode, and TalkToKnowledgeGraph — to enable natural language interaction with databases, documents, codebases, and graph databases\. Automated IT Ticket Classification \(assigned group & priority\) using custom rule documents in TalkToDocument, improving routing accuracy and reducing manual errors\. Led POCs for AI\-Generated Documentation — produced Technical, SRS, and Business documents from legacy \(IBM AS400/COBOL\) and modern \(Java, Python\) codebases, extracting workflows, dependencies, and business logic\. Built ReAct Agent Pipelines integrating custom tools: Pandas Query Engine — natural language to structured data analysis\. Neo4j Tool — Cypher queries and graph summarization\. OpenAPI Tool — automated interaction with APIs from OpenAPI specs\. Developed Interactive AI Applications using Gradio for an intuitive, user\-friendly experience\. Core Technologies & Skills: AI Frameworks: LlamaIndex \(extensive use for RAG, document ingestion, and tool orchestration\)\. Vector Databases: PGVector, Milvus \(semantic search, context retrieval\)\. LLMs: Mistral\-7B, Llama\-8B, Claude, OpenAI \(code reasoning, documentation generation, NLP\)\. Techniques: Prompt Engineering, Retrieval\-Augmented Generation \(RAG\), Multi\-Agent Orchestration, Data Pipeline Development\. Databases: SQL, Neo4j Graph DB\. Frontend/UI: Gradio \(interactive AI apps\)\.

Software Engineer at Shotformats Digital Productions Pvt Ltd, Sep 2015 \- Jan 2018 · 2 yrs 5 mos, Mumbai Area, India, Creating wap sites and CMS using codeigniter\. Creating Hybrid mobile application\.

Junior Software Engineer at Indian Institute of Technology, Bombay, Apr 2013 \- Aug 2015 · 2 yrs 5 mos, Involved in developing websites using very popular CMS Drupal Developed custom modules in Drupal 6 for the website Maintenance of the website Responding to the queries related to the website

Software Trainee at Smart Solutions, Jul 2012 \- Apr 2013 · 10 mos, Virar, Working on LAMP technologies Drupal \(CMS\)\. Drupal\.org profile: https://www\.drupal\.org/u/dineshsgaddi GitHub: https://github\.com/dineshsg/

## Education

Bachelor of Engineering \(B\.E\.\), Computer Science, S\.D\.M\.C\.E\.T

Diploma, Computer Technology, Terna polytechnic

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

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