---
title: "Siva Dinesh Somisetty - Software Engineer in Bengaluru | Tal"
description: "Meet Siva Dinesh Somisetty, Software Engineer @ Accenture | Python developer | Fast API | Microservices | DSA and System Design | RAG | Vector DB | GCP | GCP BQ | Data | CI/CD | GCP Vertex AI | Azure DevOps based in Bengaluru. AI stack includes cursor, gemini, and langchain. Explore public work lin..."
image: "https://tal.club/meet/siva-dinesh-somisetty/share-image"
---

# Siva Dinesh Somisetty on Tal

## Headline

Software Engineer @ Accenture \| Python developer \| Fast API \| Microservices \| DSA and System Design \| RAG \| Vector DB \| GCP \| GCP BQ \| Data \| CI/CD \| GCP Vertex AI \| Azure DevOps

## About

As a Software Engineer at Accenture, I am passionate about leveraging Python and Fast API to develop innovative solutions\. I am committed to continuous learning and collaboration to deliver impactful projects and drive success through data\-driven problem solving\. I specialize in designing and optimizing Big Query datasets, SQL pipelines, and GCP data models, enhancing system performance and reliability\. My contributions include improving query performance, reducing processing errors, and ensuring data accuracy with efficient validation and quality checks\.

## Location

Bengaluru

## AI stack

cursor

gemini

langchain

openai

## Work experience

Software Engineer at Accenture in India, Dec 2025 \- Present · 6 mos, Bengaluru · Hybrid, Developing a chatbot Web application\(Python, FastAPI, RAG, Vertex AI, Vector DB, RBAC\) enabling self\-service LMS access and reducing support queries by 35–45%, implemented RBAC and Cloud SQL\-backed data models to enforce 100% secure and scalable access control\. Built and maintained evaluation pipelines for conversational AI chatbot processing 10K\+ conversations using strong Python \(multithreading, async, REST APIs\), implementing RAG with LangChain and FAISS Vector DBs for LLM quality assessment, achieving 35\-45% query reduction through automated metric reporting\.

Associate Software Engineer at Accenture in India, Feb 2024 \- Nov 2025 · 1 yr 10 mos, Bengaluru · Hybrid, • Designed and optimized BigQuery datasets, SQL pipelines, and GCP data models, improving query performance by 30–40% through cleanup, deduplication, staging optimization, and backup automation\. • Led MyLearning decommissioning initiative, completing data migration, archival, and impact assessments with 100% reporting continuity across dashboards and downstream systems\. • Enhanced Workday and Navigator pipelines by updating schemas, filters, and activity logic, reducing processing errors by 25% and lowering manual interventions\. • Performed data validation, unit testing, and quality checks, reducing duplicate and missing\-record issues by 40% across prod and non\-prod pipelines\. • Executed Terraform upgrades, pipeline refreshes, and vulnerability fixes, increasing deployment stability by 20% and ensuring full compliance with security standards\. • Built reporting tables/views \(E&C, AFS, KMR, hierarchy\) and optimized materialized views, reducing load times by 35% and enabling faster analytics and retrievals\.

SBM\(State Bank of Mauritius\) \- SAPBO Tester at Globtier Infotech Pvt\. Ltd\., Jul 2023 \- Oct 2023 · 4 mos, Bengaluru, Karnataka, India, Current SAPBO version 4\.1 has been migrated to SAPBO 4\.3 all the migrated content has been migrated verified and issues has been fixed\. As a BO tester i have refreshed the same reports in both the environments and compared the results\. The discrepancies has been identified reported to development team\.

## Education

B\.tech, Electronics and Communication Engineering, Madanapalle Institute of Technology & Science

12th, MPC, Narayana Junior College \- India

## Public links

- github: https://github\.com/siva\-dinesh\-8055

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

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