PASALA PRAVALLIKA
@pasalapravallika
Machine Learning Engineer specializing in RAG systems and LLM applications.
IndiaWhat I'm looking for
I am a machine learning engineer with 2+ years of enterprise data engineering experience and practical ML development, focused on building production-ready AI systems. At PwC I architected data validation and ETL pipelines processing 50TB+ for Fortune 500 clients, ensuring ML-ready datasets.
I design and deploy LLM applications and RAG architectures, having launched three live systems including a production RAG chatbot, an image classification app, and a news Q&A pipeline using PyTorch, LangChain, FAISS, and HuggingFace tools. My work emphasizes reliability: prompt engineering to reduce hallucinations, model caching and inference optimization, and robust error handling for real-world inputs.
I thrive in remote, distributed teams and seek opportunities to build scalable AI products that bridge messy enterprise data and cutting-edge models. I bring strong deployment experience (Gradio, FastAPI, Docker), data engineering background (SAP migrations, Alteryx, SQL), and a pragmatic focus on measurable impact.
Experience
Work history, roles, and key accomplishments
Architected data validation and ETL pipelines processing 50TB+ enterprise data for Fortune 500 clients and developed anomaly detection workflows that caught 25% more data issues while reducing manual validation time by 40%. Applied these data engineering practices to production ML systems and RAG applications.
RAG Systems Engineer
Personal Projects
Built and deployed production RAG document Q&A systems achieving 95%+ accuracy with FLAN-T5 and FAISS, optimized inference to sub-second responses, and deployed demos on HuggingFace Spaces with 200+ runs.
ML Applications Developer
Personal Projects
Developed live ML applications including an image classification system using transfer learning (ResNet50) and a news QA pipeline combining BART summarization and DistilBERT QA with production-grade error handling and memory optimizations.
Education
Degrees, certifications, and relevant coursework
Chandigarh University
Bachelor of Engineering, Computer Science & Engineering
2019 - 2023
Grade: 7.2/10
Completed Bachelor of Engineering (Hons.) in Computer Science & Engineering with coursework and projects related to software engineering and machine learning.
Availability
Location
IndiaAuthorized to work in
Website
prav-allika.github.ioPortfolio
prav-allika.github.ioJob categories
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