varshitha nelakurthi

AI Engineer

Guntur, Andhra Pradesh, India 2+ yrs exp 85 · Excellent

About

Generative AI Engineer with hands-on experience in designing, deploying, and optimizing AI-powered automation systems using Large Language Models (LLMs), Prompt Engineering, Conversational AI, and Retrieval-Augmented Generation (RAG) frameworks. Skilled in building scalable AI workflows, evaluation pipelines, and multimodal systems aligned with business objectives and operational efficiency. Experienced in AI model validation, hallucination mitigation, workflow testing, performance benchmarking, and deployment optimization using Python, LangChain, FastAPI, OpenAI APIs, and cloud-based AI tooling. Strong background in cross-functional collaboration, stakeholder communication, KPI monitoring, and transforming complex business requirements into production-ready AI solutions.

Skills & Expertise (35)

LLM Orchestration Intermediate

8.1/10

Years Exp

Conversational AI Intermediate

8.1/10

Years Exp

AI Agents Intermediate

8.1/10

Years Exp

Prompt Engineering Intermediate

8.1/10

Years Exp

Python Intermediate

7.5/10

Years Exp

SQL Intermediate

7.5/10

Years Exp

Git Intermediate

7.5/10

Years Exp

REST APIs Intermediate

7.5/10

Years Exp

Power BI Intermediate

7.5/10

Years Exp

Vector Databases Agile Workflow Testing Prompt Validation error analysis Tableau Looker Matplotlib KPI Tracking Business Intelligence Jira n8n RAG Pipelines Copilot Claude OpenAI APIs Streamlit LangChain FastAPI Flask TensorFlow MongoDb BigQuery JavaScript Context Management Workflow Automation

Work Experience

Associate Prompt Engineer

NVIDIA (Spectrum)

Oct 2024 - Present

Designed and optimized end-to-end LLM workflows for conversational and multimodal AI systems aligned with real-world business requirements. Built structured prompt engineering frameworks improving contextual understanding, response quality, and multimodal reasoning across diverse use cases. Developed evaluation and QA pipelines covering edge cases, hallucination reduction, and workflow reliability testing. Monitored system performance using evaluation metrics including accuracy, relevance, and error rates to drive continuous improvements. Contributed to RLHF optimization workflows and context-aware AI systems for improved response generation. Collaborated cross-functionally with engineering, research, and product teams to improve deployment readiness and AI system behavior. Built internal prompt libraries, testing workflows, and evaluation benchmarks to standardize AI workflow processes. Supported deployment validation by testing APIs, workflows, and production-like AI interaction scenarios.

Data Analyst

Flixstock

Jan 2024 - Sep 2024

Worked directly with C-level executives to align analytical strategies with business goals and operational requirements. Developed AI and machine learning models supporting projected revenue growth. Built interactive Power BI dashboards, improving operational visibility, KPI tracking, and decision-making. Designed automated web scraping workflows, reducing manual processing time by up to 70%. Collaborated with stakeholders to translate analytical requirements into scalable automation workflows. Ensured GDPR and European data privacy compliance while handling large-scale datasets.