
Prashanthi GannavarapuPrompt Engineer / Generative AI Engineer 
Bengaluru, IndiaPhone: (+91)-8106907575Email: gprashanthi05@gmail.com/ prashanthi.gannavarapu22@iimb.ac.inProfessional Summary
A seasoned Generative AI Engineer and Natural Language Processing (NLP) Expert, with a proven track record in leading teams to pioneer and implement cutting-edge AI solutions. Specializes in crafting compelling prompts using Open AI&rsquo;s GPT technology, enhancing user interactions with AI. Proficient in advanced machine learning techniques, adept at refining content and driving operational efficiency. Possesses a strategic mindset and employs a data-driven approach to consistently deliver transformative results, elevating stakeholder satisfaction.
SKILLS 
&bull; Data Science Toolbox: Python, NumPy, pandas, seaborn, matplotlib, scipy, scikit- learn, Spacy, NLTK, Pytorch, Keras, TensorFlow, SQL, PySpark, GitHub, Docker, Tableau, Power BI, MS Azure Open AI 
&bull; Machine Learning Algorithm: Supervised: Linear Regression, Ridge/Lasso, Logistic Regression, Naive Bayes, Support Vector Machine, Decision Tree, Bagging - Random Forest, Boosting- XGBoost, AdaBoost.Unsupervised: K-Means, DBSCAN, Clustering. Topic Modelling : LSA, NMF, LDA. 
&bull; Deep Learning and Generative ai: ANN, CNN, RNN, LSTM, Transformer, Hugging Face, LLM. NLP - Embedding, Classification, Summarization, Sentiment Analysis ,Topic Modelling, Document Intelligence, Knowledge Mining, BERT, GPT-4, Llama, Langchain, Prompt Engineering , Generative AI  Microsoft Azure AI , Cognitive AI , Computational Linguistics, GPT-3/4, ChatGPT, Gemini, Microsoft Co-pilot, Decision Trees, LLM&rsquo;s , RAG Architecture , Computer Vision, DALL-E, MidJourney, Sora.Project Management: Jira , Git , ITSM Suite, Agile , ServiceNow , Miro, ServiceNow Reporting, Performance Analytics, Microsoft Excel, Lean Six Sigma.
Licenses &amp;amp; certifications
Prompt Engineering for ChatGPT , Vanderbilt University -  Issued Jul 2023
Generative AI with Microsoft Azure Open AI from Great Learning
Microsoft Azure AI Fundamentals (AI 900) Certification
Six Sigma with Python - Green Belt Certified &ndash; Indian Statistical Institute(ISI) &ndash; Issued Nov 2023
SAFe.5 Practitioner
ITIL 4
ServiceNow Performance Analytics &ndash; Micro Certification
  EDUCATION:
Microsoft Azure Generative AI &ndash; Great Learning (Mar&rsquo;24 &ndash; June&rsquo;24)
Executive Programme in Business Analytics and Intelligence (BAI), IIM Bangalore (2022-2023)
Executive Program in Business Management (part-time) , IIM Lucknow (2016-2017)
B. Tech, Electronics Communication Engineering- BPUT Rourkela, Odisha (CGPA- 7.4/10) 
Work Experience
Generative AI Engineer, Wadhwani AI(contract)      Aug 2023 &ndash; PresentProject Description:
Implemented advanced generative AI techniques to develop an AI tutor tailored for students enrolled in entrepreneurship courses on the Moodle platform. Leveraged GPT-3/4, BERT, T5, and NLP models to create personalized learning experiences, offering guidance, resources, and feedback to enhance students&#039; understanding of entrepreneurship concepts and skills.
Technologies Used:
Generative Models: GPT-3/4, BERT, T5
Natural Language Processing (NLP) Techniques: LLaMa, GEMINI, Named Entity Recognition (NER), Sentiment Analysis, Topic Modelling, Word Embeddings (Word2Vec, GloVe), Part-of-Speech Tagging
Learning Management System: Moodle
Responsibilities:
Developed and fine-tuned AI-driven educational content, aligning with entrepreneurship curriculum objectives and student learning styles.
Tailored AI tutor prompts to individual student needs and preferences, optimizing engagement and comprehension.
Applied generative AI techniques such as GPT models to dynamically generate personalized learning material, including explanations, examples, and quizzes.
Utilized NLP techniques such as sentiment analysis and named entity recognition (NER) to ensure the content&#039;s conversational accuracy and relevance, categorizing responses into Red-Amber-Green (RAG) status for student progress tracking.
Collaborated cross-functionally to integrate the AI tutor seamlessly into the Moodle platform, ensuring alignment with educational goals.
Conducted iterative refinement of content and prompts based on user feedback, leveraging NLP insights for continuous improvement.
Implemented the Retrieval-Augmented Generation (RAG) architecture, integrating retrieval models with generative AI techniques such as GPT models and Large Language Models (LLMs) like T5 and Langchain for content generation.
Enhanced content relevance and coherence by leveraging LLMs within the Retrieval-Augmented Generation (RAG) framework, facilitating the generation of contextualized responses, including explanations, examples, and quizzes.
Ensured the AI tutor dynamically adapts to individual student needs using the Retrieval-Augmented Generation (RAG) approach, optimizing engagement and learning outcomes.
Collaborated cross-functionally to integrate the RAG architecture seamlessly into the Moodle platform, ensuring alignment with educational goals and student requirements.
Conducted iterative refinement of content and prompts based on user feedback and RAG insights, maximizing learning outcomes and student satisfaction.
Educational Break &amp;amp; Skill Enhancement (Jul &lsquo;22 &ndash; Jul &lsquo;23)
Utilized a career break for educational pursuits and skill enhancement. Pursued Certification Programme in Business Analytics from IIM ,Bangalore.
Academic Projects:
Accident Risk Score Prediction for Swiss Re: Led a project to develop a predictive machine learning model for determining accident risk scores at Swiss Re. Collaborated with actuarial teams and achieved improvement in prediction accuracy compared to existing methods.
Senior Business Insights Analyst , Citrix Jan&rsquo; 21 &ndash; Jun&rsquo; 22
Technologies used: SQL, ServiceNow Performance Analytics, Naive Bayes, Logistic Regression, BERT ,  Tensorlfow, Keras , NLP &ndash; TF-IDF , NLTK, Pandas libraries
Project: Revolutionized service desk operations through advanced analytics, predictive modelling, and NLP, significantly enhancing efficiency and customer satisfaction..
Business Impact: Achieved measurable improvements in operational efficiency and customer satisfaction by identifying bottlenecks and predicting future support needs.
Responsibilities: 
Developed and led a BERT-based Automated Ticketing System, significantly enhancing ticket categorization accuracy and user satisfaction.
Employed advanced NLP techniques for data pre-processing and model fine-tuning, achieving a 15% improvement in categorization accuracy over traditional models.
Managed large datasets for model training, employing data cleaning, and augmentation to improve model performance and effectiveness.
Reduced ticket resolution times by 20%, directly impacting service efficiency and contributing to a 10% increase in customer satisfaction scores.
Collaborated with cross-functional teams for seamless integration, optimizing the model for computational efficiency and establishing a continuous improvement feedback loop.
Senior Consultant, CapgeminiJul &lsquo;20 &ndash; Dec &lsquo;20
Innovated Ticket Categorization Process: Spearheaded a lean project to redesign the ticket categorization process, employing machine learning algorithms to automate and improve accuracy. This initiative resulted in a 30% reduction in ticket resolution time and significantly decreased manual categorization errors, enhancing overall service delivery efficiency and customer satisfaction.
Agile Project Management: Managed cross-functional teams in a fast-paced, agile environment to deliver project milestones ahead of schedule, demonstrating exceptional leadership in driving project success and team synergy.
Stakeholder Collaboration: Worked closely with IT, quality assurance, and customer service teams to ensure the new ticketing process aligned with business needs and customer expectations, fostering an environment of continuous feedback and improvement.
Senior Business Analyst, Compugain Solutions  Nov &lsquo;17 &ndash; Oct &lsquo;19
Led a team of 10-15 associates using agile methodologies to optimize project delivery.
Developed performance metrics, driving improvements in project delivery times and quality.
Executed talent development initiatives, enhancing team capabilities and project outcomes.
Assistant Service Delivery Manager , Unisys Sep &lsquo;15 &ndash; Nov &lsquo;17
Managed shift operations and team engagement using lean principles, focusing on continuous improvement.
Spearheaded data analysis projects, enhancing decision-making processes and operational efficiency.
Owned change management, leading the team through agile practice adoption to increase responsiveness.
Service Manager , Tech Mahindra Jan &lsquo;12 &ndash; Sep &lsquo;15
Identified and implemented improvements in team performance and service delivery using lean and agile frameworks.
Built and executed initiatives for hiring and developing top talent, improving team capabilities.
Utilized databases for data extraction and analysis, providing insights to inform business strategies.
