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Ganga Mahesh Rampe

Generative AI Engineer @ Infosys | Machine Learning, Python

Hyderabad

5+ years of work experience

Infosys
Apr 20251 yr 5 mosPresent

Hyderabad

Developed enterprise AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and foundation model APIs for intelligent automation. Built end-to-end document ingestion pipelines including OCR, parsing, chunking, embedding generation, vector database indexing, and semantic retrieval. Implemented prompt engineering, AI guardrails, LLM evaluations, contextual memory, and response optimization to improve accuracy, reliability, and user experience. Developed scalable FastAPI-based AI microservices on AWS with secure REST APIs, low-latency inference, performance monitoring, and seamless enterprise integrations. Optimized production AI systems through retrieval tuning, prompt versioning, caching, observability, latency optimization, and continuous model performance evaluation.
Tata Consultancy Services
Jun 20222 yrs 11 mosApr 2025

Hyderabad

Tata Consultancy Services
Apr 20211 yr 2 mosMay 2022

Hyderabad, Telangana, India

Ganga’s AI Stack

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hugging face
langchain
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langgraph
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llmapi
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mcp
mcp

Education

Gayatri Vidya Parishad College of Engineering (Autonomous)

Master of Computer Applications, Computer Science

Gayatri Vidya Parishad College of Engineering (Autonomous)

20182 yrs2020

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Headline

Generative AI Engineer @ Infosys | Machine Learning, Python

About

As a Generative AI Engineer at Infosys, I specialize in developing enterprise AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and foundation model APIs. My work involves building end-to-end document ingestion pipelines with techniques such as OCR, parsing, embedding generation, and vector database indexing, while implementing prompt engineering, AI guardrails, and contextual memory to enhance user experience and system accuracy. With an MCA in Computer Science from Gayatri Vidya Parishad College of Engineering, I leverage my expertise in creating scalable FastAPI-based AI microservices on AWS. I focus on delivering secure REST APIs, performance monitoring, and seamless enterprise integrations. My professional journey reflects a commitment to advancing intelligent automation and optimizing production AI systems through retrieval tuning and prompt versioning.

Location

Hyderabad

AI stack

hugging face

langchain

langfuse

langgraph

llmapi

mcp

Work experience

Generative AI Engineer at Infosys, Apr 2025 - Present · 1 yr 5 mos, Hyderabad, Developed enterprise AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and foundation model APIs for intelligent automation. Built end-to-end document ingestion pipelines including OCR, parsing, chunking, embedding generation, vector database indexing, and semantic retrieval. Implemented prompt engineering, AI guardrails, LLM evaluations, contextual memory, and response optimization to improve accuracy, reliability, and user experience. Developed scalable FastAPI-based AI microservices on AWS with secure REST APIs, low-latency inference, performance monitoring, and seamless enterprise integrations. Optimized production AI systems through retrieval tuning, prompt versioning, caching, observability, latency optimization, and continuous model performance evaluation.

System Engineer at Tata Consultancy Services, Jun 2022 - Apr 2025 · 2 yrs 11 mos, Hyderabad

Assistant System Engineer at Tata Consultancy Services, Apr 2021 - May 2022 · 1 yr 2 mos, Hyderabad, Telangana, India

Education

Master of Computer Applications, Computer Science, Gayatri Vidya Parishad College of Engineering (Autonomous)

Ganga Mahesh Rampe - Generative AI Engineer in Hyderabad | Tal