Gen AI Engineer with LLM Production Expertise

HEMANTH SUDDALA

GEN AI ENGINEER

+1-561-***-**** ***************@*****.***

OBJECTIVE

Gen AI Engineer with 3+ years of experience across two organizations, specializing in building and deploying LLM-powered solutions for automation, document intelligence, and conversational systems. Strong hands-on experience in prompt engineering, Retrieval-Augmented Generation

(RAG), embeddings, and integrating LLMs into scalable backend services. Proven ability to design cloud-ready GenAI pipelines using Python, REST APIs, vector databases, and modern DevOps practices. Experienced in translating business requirements into reliable, production-grade GenAI features with measurable impact.

SKILLS

Programming & Data: Python, SQL, Pandas, NumPy

GenAI / NLP: Prompt Engineering, RAG, Embeddings, Semantic Search, GPT-3.5/4 (API), Azure OpenAI

Frameworks & Tools: LangChain, LlamaIndex, Hugging Face (basic usage) Backend & APIs: FastAPI, Flask, REST API development Databases & Vector Stores: MySQL, SQL Server, MongoDB, FAISS, ChromaDB Cloud & DevOps (Exposure): Azure (App Services, Storage), AWS S3, Docker, CI/CD basics

Tools: Git, Jira, Postman, Agile/Scrum

WORK EXPERIENCE

GEN AI ENGINEER Oct 2023 – May 2025

FLORIDA ATLANTIC UNIVERSITY BOCA RATON, FLORIDA

Designed and developed LLM-powered automation solutions to streamline academic and administrative workflows.

Built AI Resume Screening and Matching systems using embeddings and similarity search, reducing manual recruiter effort by ~50%.

Implemented Text-to-SQL GenAI pipelines, enabling non-technical users to query relational databases using natural language.

Developed RAG-based document intelligence solutions to retrieve accurate information from structured and unstructured sources.

Integrated LLM services using Python and REST APIs, ensuring secure, scalable deployments.

Improved response quality and reduced hallucinations through prompt engineering and retrieval tuning.

Deployed GenAI services on Azure cloud infrastructure with CI/CD pipelines and containerized workflows.

Collaborated with cross-functional teams to convert business requirements into production-ready GenAI features.

GEN AI ENGINEER JUNE 2022 – DEC 2023

CAPGEMINI TECHNOLOGY SERVICES INDIA LIMITED CHENNAI, INDIA Client: Stellantis (Automotive Domain)

Developed Python-based GenAI workflows integrating Large Language Models (LLMs) to support internal automotive operations and data analysis.

Built and maintained Retrieval-Augmented Generation (RAG) pipelines to enable accurate responses from internal documents and knowledge bases.

Designed and optimized prompt engineering strategies to improve response relevance and reduce hallucinations in enterprise use cases.

Implemented Text-to-SQL capabilities using LLMs, allowing business users to query relational databases through natural language.

Used SQL to extract, validate, and prepare structured data consumed by GenAI pipelines.

Executed and monitored GenAI services in Linux environments, troubleshooting runtime issues and monitoring logs.

EDUCATION

Masters in Computer Science, FLORIDA ATLANTIC UNIVERSITY 3.90/4.0 GPA Relevant Coursework: Natural language processing, Analysis of algorithms, Software Engineering Bachelors in Computer Science, MALLA REDDY COLLEGE OF ENGINEERING AND TECHNOLOGY 8.26/10

Relevant Coursework: Data structures & Algorithms, Object Oriented Programming, Databases

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