Hi, I’m Pravallika! 👋

ML Engineer | RAG Systems & LLM Applications

ML Engineer combining 2+ years enterprise data engineering with hands-on AI/ML development. Built production systems processing 50TB+ data for Fortune 500 clients at PwC, now applying this expertise to modern LLM applications and RAG architectures. Deployed 3 live ML applications (computer vision, NLP, RAG chatbots) using PyTorch, LangChain, and Transformers.

Unique strength: Understanding both messy real-world data AND cutting-edge AI models.

Currently seeking: Remote ML engineering role to build scalable AI systems.

🔥 Featured Projects

🤖 RAG Chatbot System

Production document Q&A using retrieval-augmented generation

Built end-to-end RAG pipeline with LangChain, FAISS vector database, and FLAN-T5 LLM. Implements semantic search, intelligent chunking, and hallucination prevention through prompt engineering.

🖼️ Image Classification System

Transfer learning with ResNet50 for real-time image classification

Leveraged pre-trained ResNet50 (ImageNet: 1.2M images, 1000 categories) achieving 95.4% top-5 accuracy. Optimized inference with torch.no_grad() for 50% memory reduction and 30% speed improvement.

📰 News QnA Pipeline

Multi-model NLP system: retrieval → summarization → Q&A

Three-stage pipeline combining NewsAPI integration, BART summarization, and DistilBERT question answering. Implements singleton pattern for efficient model loading and memory management.

🛠️ Technical Skills

Production ML: LLM Applications (RAG, LangChain, Prompt Engineering, FAISS) • Deep Learning (PyTorch, CNNs, Transfer Learning) • NLP (Transformers: BART, FLAN-T5, DistilBERT) • Deployment (HuggingFace Spaces, Gradio, FastAPI, Docker)

Data Engineering: Enterprise Pipelines (2 years SAP migration: Syniti, BODS, LTMC) • ETL Workflows • Alteryx • SQL • Data Validation (50TB+ datasets)

Development: Python • Git/GitHub • Jupyter • VS Code • Linux • CI/CD • Agile

💼 Professional Experience

Data & ML Engineer @ PwC Mar 2023 - Present

🎓 Education & Certifications

B.E. Computer Science & Engineering (Hons.) - Chandigarh University (2019-2023)

Certifications: Crash Course on Python (Google/Coursera) • Intermediate Machine Learning (Kaggle) • Associate Generative AI Engineer (SAP)

📫 Let’s Connect

I’m actively seeking remote ML engineering opportunities with international teams!

🌍 Remote Work Ready

✅ 2+ years remote collaboration with international teams at PwC
✅ High-speed internet (100+ Mbps) and dedicated home office
✅ Available 5+ hours daily overlap with US/EU timezones
✅ Strong async communication: detailed documentation, clear Git commits
✅ Fluent English, Hindi, Telugu

Built with ❤️ using GitHub Pages

Last updated: December 2024