---
title: "Siva Kumar Pabbisetty - Artificial Intelligence Engineer in Bengaluru | Tal"
description: "Meet Siva Kumar Pabbisetty, AI Engineer | Expert in Data Science, Python, & Machine Learning Solutions based in Bengaluru. AI stack includes aistudio, anthropic apis, and antigravity. Explore public work links including sivakumar.dev."
image: "https://tal.club/meet/siva-kumar-pabbisetty/share-image"
---

# Siva Kumar Pabbisetty on Tal

## Headline

AI Engineer \| Expert in Data Science, Python, & Machine Learning Solutions

## About

AI Engineer experienced in RAG \(Retrieval\-Augmented Generation\) systems, LLM integration, and AI\-based data analysis applications\. Skilled in Python, FastAPI, Streamlit, Neo4j, LangChain, and Ollama, with strong ability to design end\-to\-end AI systems combining natural language processing, data visualization, and automation\.

## Location

Bengaluru

## AI stack

aistudio

anthropic apis

antigravity

claude code

claude

codex

## Work experience

Artificial Intelligence Engineer at DotKonnekt, Nov 2025 \- Mar 2026 · 5 mos, Bengaluru, Karnataka, India, Multimodal Text\-to\-Image Pipeline • Built a multimodal text\-to\-image generation pipeline integrating Gemini models via LiteLLM for unified, provider\-agnostic LLM access\. • Designed a prompt engineering and optimization layer to improve generation quality through structured prompt rewriting and context injection\. • Optimized async inference workflows and RESTful APIs for low\-latency, production\-grade image generation; enforced best practices via code reviews\. AI\-Powered Reddit Analytics Pipeline • Architected an automated data ingestion pipeline in Python to fetch, process, and store Reddit posts and nested comment threads via the Reddit API\. • Leveraged Gemini \(generative AI\) to analyze text at scale — extracting sentiment \(positive/neutral/negative\) and detecting high\-intent purchasing or complaint signals\. • Built a smart comment\-evaluation engine that judges peer\-to\-peer answer quality and generates AI\-driven, context\-aware rewrite suggestions for community managers\. • Implemented scalable data sinks using MongoDB to store unstructured text alongside structured AI\-generated insights and narrative summaries\.

Generative AI Engineer Workshop at DotKonnekt, Aug 2025 \- Nov 2025 · 4 mos, • Built an end\-to\-end agentic RAG system using LangChain and Neo4j Vector DB, enabling multi\-step reasoning and document querying over ingested PDFs\. • Developed FastAPI backend and Streamlit UI for document ingestion, embedding generation, and vector search workflows\. • Implemented Langfuse for prompt observability, context engineering, and LLM pipeline monitoring — ensuring production\-level reliability\. • Designed and deployed an intelligent CSV data analysis assistant integrating LLM tool\-calling, memory management, and automated visualization\. • Architected multi\-component AI workflows with state management, tool use, and retrieval pipelines end\-to\-end\.

Student at Scaler, Dec 2024 \- Aug 2025 · 9 mos, India

Test Automation Engineer at Victoria’s Secret & Co\., Jun 2019 \- Jun 2020 · 1 yr 1 mo, Bengaluru, Karnataka, India, Developed automation scripts using Java Selenium and Python for web\-based applications\. Automated end\-to\-end user scenarios\. Contributed to maintaining a robust automation framework, reducing manual effort\.

## Education

Master of Technology, Computational Science, Manipal institute of technology

Bachelor of Technology \- BTech, Information Technology, pondicherry engg\. college

## Public links

- sivakumar\.dev: https://www\.sivakumar\.dev/

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

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