Open to opportunities

Pravallika Pataballa

@pravallikapataballa

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AI & ML-focused data scientist and generative AI engineer building scalable RAG systems and ML solutions.

India

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What I'm looking for

I seek roles building and deploying AI/ML systems—especially RAG, LLMs, and NLP—at companies valuing impact, collaboration, and production-grade delivery.

I am an AI & ML-focused data scientist and generative AI engineer with hands-on experience building scalable retrieval-augmented generation (RAG) systems and production-ready ML applications.

During internships I developed a full-stack e-commerce platform with Django serving 1,000+ users and optimized web app performance, and built sentiment analysis models achieving 90% accuracy via TF-IDF and logistic regression with hyperparameter tuning.

My projects include a high-accuracy RAG Q&A system processing 10,000+ documents with embeddings, FAISS, LangChain and Meta-LLaMA-3, an advanced multi-agent AI app orchestrated with LangFlow, and a CNN-based autism identification tool that achieved high recall on annotated facial images.

I focus on practical, impact-driven solutions using modern AI/ML tooling (TensorFlow, PyTorch, HuggingFace), cloud platforms (AWS, GCP), and deployment frameworks (Streamlit). I aim to join teams where I can drive applied research to production and scale intelligent systems.

Experience

Work history, roles, and key accomplishments

RAG Q&A System Developer

Personal Project

Jun 2025 - Jul 2025 (1 month)

Built a RAG chatbot processing 10,000+ documents with 95% answer relevance and 92% retrieval accuracy by engineering ingestion, embeddings (HuggingFace), FAISS vector store, and LLM retrieval, deployed via Streamlit.

RAG Faiss Embeddings Streamlit LLM Vector Search

Multi-Agent AI App Developer

Personal Project

Apr 2025 - May 2025 (1 month)

Engineered a multi-agent AI system using RAG, LangFlow, and Streamlit to orchestrate 5+ agents over 10,000+ documents, enabling 100+ daily queries and reducing retrieval latency by 35%.

Agentic Systems RAG LangFlow Streamlit Orchestration Vector Databases

AI Research Project Lead

Personal Project

Jan 2025 - Mar 2025 (2 months)

Developed a CNN with transfer learning on 500+ annotated facial images to identify autism, achieving 97% recall and over 96% accuracy to accelerate screening workflows.

TensorFlow CNN Transfer Learning Computer Vision Data Annotation Python Model Evaluation

Full Stack Web Development Intern

International Institute of Digital Technologies

May 2024 - Aug 2024 (3 months)

Designed a Django-based e-commerce platform for agricultural products used by 1,000+ users, delivered apps handling 50+ concurrent users, and optimized load times by 30% to improve engagement and reliability.

Django SQLite Python Web Development Authentication Performance Optimization REST APIs Git

Artificial Intelligence and Machine Learning Intern

APSSDC

Apr 2024 - Jun 2024 (2 months)

Developed a sentiment analysis model on 2,000+ reviews using Logistic Regression with TF-IDF achieving 90% accuracy and improved accuracy by 3% through hyperparameter tuning while reducing false positives by up to 20%.

Machine Learning NLP TF IDF Logistic Regression Hyperparameter Tuning Python scikit learn

Education

Degrees, certifications, and relevant coursework

Bonam Venkata Chalamayya Engineering College

Bachelor of Technology, Artificial Intelligence & Data Science

Grade: 8.70/10.00

Pursuing a B.Tech in Artificial Intelligence & Data Science with coursework in data structures, machine learning, AI, databases, OOP, and statistics; CGPA 8.70/10.00.