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Pranavi2002/README.md

Hi 👋, I'm Venkata Naga Sri Sai Pranavi Kolipaka

Software Engineer | AI/ML Engineer | Full Stack Developer | Frontend Developer | Data Engineer | Data Analyst

🌐 Visit My Portfolio

pranavi2002


About Me

  • Software Engineer with strong experience building AI-powered and data-driven systems, along with end-to-end full-stack applications.
  • Proficient in building secure, scalable web applications and analyzing complex datasets to derive actionable insights.
    • Hands-on experience with Retrieval-Augmented Generation (RAG), LLM evaluation & observability, and GraphRAG.
  • Experienced in transforming raw data into analytics-ready datasets using modern data engineering practices.
  • Skilled in Spring Boot, React, Python, SQL, and cloud platforms (Azure, AWS).
  • Proven mentor and communicator with graduate teaching experience and published research.
  • Passionate about production-aware AI systems and continuous learning.

Education

  • MS, Computer Science | Concentration in Artificial Intelligence (Aug 2023 – May 2025)
    University of South Carolina, Columbia, SC | GPA: 4.0/4.0

  • Bachelor’s, Computer Science | Specialization in Data Science (Aug 2019 – May 2023)
    Koneru Lakshmaiah Education Foundation, Guntur, India | GPA: 3.6/4.0


Work Experience

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  • AI/ML Intern | NextPhase.ai (Sep 2025)
    Contributed to a client-facing RAG system by integrating Phoenix observability for tracing LLM behavior and hallucinations.
    Implemented evaluation workflows using DeepEval and RAGAS to measure faithfulness, answer relevance, and context precision.
    Supported GraphRAG prototyping using Neo4j and built dbt + Snowflake pipelines for evaluation analytics.

  • Graduate Teaching Assistant | University of South Carolina (Aug 2023 – May 2025)
    Mentored 60+ students in HTML, CSS, and JavaScript, improving performance by ~20%.
    Delivered hands-on labs on responsive UI, cross-browser compatibility, and software engineering best practices.
    Debugged and reviewed 100+ student projects, improving code quality and maintainability.

  • Web Development Intern | Verzeo Edutech (Nov 2022 – Jan 2023)
    Developed responsive React-based web applications using CSS and Bootstrap.
    Built a Java Servlet-based e-Approval system with MySQL, reducing manual approval by ~90%.

  • Data Science Intern | Yhills Edutech (Feb 2023 – Mar 2023)
    Built regression and classification models with ~80%+ accuracy.
    Performed data preprocessing, feature engineering, and exploratory data analysis.

  • Deloitte Data Analytics Simulation | Forage (Aug 2025)
    Applied data visualization and business analysis using Tableau & Excel. GitHub: Link


Projects

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  • Courses & Certification Management Platform – React, Spring Boot, REST APIs, AI (RAG)
    End-to-end platform for managing courses and certifications with secure authentication and role-based access.
    Integrated AI-powered features using Retrieval-Augmented Generation (RAG) to enhance search, recommendations, and knowledge retrieval.
    Built scalable backend APIs with Spring Boot and a responsive React frontend for real-world usage.
    GitHub

  • Multi-Agent AI Knowledge Assistant – Python, RAG, Multi-Agent Systems, Vector Search
    Developed a multi-agent RAG-based knowledge assistant where specialized agents collaborate for retrieval, reasoning, and answer generation.
    Implemented agent orchestration to improve answer quality, reduce hallucinations, and handle complex multi-step queries.
    Experimented with different retrieval strategies and evaluation workflows to improve system reliability.
    GitHub

  • RAG Evaluation & GraphRAG Projects – Python, FastAPI, React, FAISS, DeepEval, RAGAS, Neo4j, Phoenix
    Built multiple RAG pipelines with document ingestion, retrieval, and answer generation.
    Implemented LLM evaluation metrics and observability, tracing 100+ LLM conversations.
    Integrated Neo4j to enable GraphRAG-based multi-hop retrieval, improving response quality and latency. GitHub

    • Analytics Engineering Pipeline (dbt & Snowflake) – dbt Core, Snowflake, SQL
      Built modular ELT pipelines with star schema modeling (fact & dimension tables).
      Implemented tests, snapshots, and documentation ensuring 99%+ data accuracy.GitHub
  • E-Commerce Microservices Application – ReactJS, Spring Boot, Docker
    Scalable microservices system with Eureka and API Gateway.
    Containerized services using Docker and Docker Compose. GitHub

  • User Management System with Enhanced Security – ReactJS, Spring Security, JWT
    Role-based dashboards, secure authentication, optimized MySQL DB. GitHub

  • Full-Stack MERN Weather App – ReactJS, Node.js, Express, MongoDB, OpenWeather API
    Authentication, geolocation, search history. GitHub

  • React Task Tracker App – React.js, Material UI, Framer Motion
    Manage tasks with add/edit/delete, theme toggle, responsive animations. GitHub

  • Certificate Management Web App (Certaethon) – Azure, JavaScript, REST APIs
    Azure Blob & OCR integration, admin dashboard, automation. GitHub

  • Hotel Booking Data Analysis – Python, Pandas, NumPy, Matplotlib, Seaborn
    Explored booking/cancellation trends, room price variation, OTA analysis. GitHub

  • COVID-19 Patient Precondition Analysis – Tableau
    Interactive dashboard analyzing patient outcomes based on preconditions. GitHub


Achievements

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  • Microsoft Certifications: Azure Fundamentals (AZ-900), Azure AI Fundamentals (AI-900), Azure Data Fundamentals (DP-900)
  • Cambridge English Certification (ESOL)
  • Publications: Co-author, Performance of CNN for Network Intrusion Detection Systems (NIDS)
  • Conference Presentation: Unsupervised Clustering Techniques (SmartCom 2023)

Technical Skills

  • Languages: Java, Python, JavaScript, C, R
  • AI / ML: GenAI, RAG, LLM evaluation & observability, Prompt Engineering
  • RAG Tooling: FAISS, Phoenix, RAGAS, DeepEval, Neo4j (GraphRAG)
  • Data Engineering: dbt, Snowflake, SQL, ELT pipelines, Data Modeling
  • Frontend: HTML, CSS, JavaScript, React, Angular, Bootstrap
  • Backend: Spring Boot, Spring Security, JWT, Node.js, Express, REST APIs, Microservices
  • Databases: MySQL, PostgreSQL, MongoDB, H2
  • Cloud & DevOps: Azure, AWS, Docker, GitHub Actions, CI/CD
  • Tools: Git, GitHub, VS Code, Eclipse, Postman, Jira, Trello

Contact


top languages profile stats

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  1. Multi-agent-RAG Multi-agent-RAG Public

    Python

  2. Full-Stack-Microservices_ECommerce-Project Full-Stack-Microservices_ECommerce-Project Public

    Full-stack E-Commerce Microservices project with React frontend and Spring Boot Microservices backend.

    Java

  3. Tableau-Covid19-Project Tableau-Covid19-Project Public

  4. Hotel-Booking-Data-Analysis-Project Hotel-Booking-Data-Analysis-Project Public

    Jupyter Notebook

  5. Full-Stack-Security-Project Full-Stack-Security-Project Public

    JavaScript

  6. Full-Stack-WeatherApp Full-Stack-WeatherApp Public

    JavaScript