Siva Kumar Pabbisetty profile photo 1 on Tal

Siva Kumar Pabbisetty

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

Bengaluru

2+ years of work experience

DotKonnekt
Nov 20255 mosMar 2026

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.
DotKonnekt
Aug 20254 mosNov 2025

• 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.
Scaler
Dec 20249 mosAug 2025

India

Victoria’s Secret & Co.
Jun 20191 yr 1 moJun 2020

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.

Siva’s AI Stack

aistudio
aistudio
anthropic apis
anthropic apis
antigravity
antigravity
claude code
claude code
claude
claude
codex
codex

Education

Manipal institute of technology

Master of Technology, Computational Science

Manipal institute of technology

20182 yrs2020
pondicherry engg. college

Bachelor of Technology - BTech, Information Technology

pondicherry engg. college

20134 yrs2017

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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/