Pranali Rahangdale

MCA (Computer Science) graduate with hands-on experience shipping production-grade AI systems: LLM-powered chatbots, RAG pipelines, NLP classifiers (94% F1 on 50K+ records), and deep learning models (95% accuracy on edge hardware). Proficient in Python, PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LangGraph, AI Agents, advanced prompt engineering, MLflow, Optuna, and Streamlit/Flask deployment. Experienced applying AI safety and responsible AI principles; strong problem-solving and communication skills with technical and non-technical stakeholders in Agile environments.

Data Science with GenAI Intern - Innomatics Research Labs - Pune

(2025-11 - 2026-04)

• Architected and deployed a production-ready GenAI chatbot using LLM API integration (Gemini API), prompt engineering, session memory management, and RAG-aligned LLM pipelines to deliver accurate domain-specific AI responses.
• Built complete NLP pipelines on 50,000+ text records covering data preprocessing, TF-IDF feature engineering, model selection, hyperparameter tuning, and Streamlit cloud deployment, achieving 94% F1-score on multi-class sentiment classification.
• Reduced ML experimentation cycle time by 30% using Optuna hyperparameter search and MLflow experiment tracking across 50+ model runs, model versioning, and structured performance benchmarking aligned with MLOps best practices.

Full Stack Developer Intern - Anishree Technologies LLP - Nagpur

(2024-01 - 2024-07)

• Built a scalable Django (Python) backend managing 5,000+ records with RESTful APIs, modular architecture, and Git version control following software engineering best practices.
• Reduced API response time by 35% through SQL query optimization and Django ORM profiling, resolving production performance bottlenecks via systematic debugging.

Data Scientist Intern - SparrowAI R&D Center - Nagpur

(2022-01 - 2022-08)

• Trained DNN, CNN, and RNN models for real-time food recognition using PyTorch and TensorFlow, achieving 95% classification accuracy on a 3,000+ image annotated dataset.
• Managed the full ML lifecycle (preprocessing, augmentation, evaluation, edge deployment) on NVIDIA Jetson Nano (CUDA-optimized) for low-latency production inference.

Master of Computer Applications - Computer Science - Rashtrasant Tukadoji Maharaj Nagpur University (2022-10 - 2024-08)

Bachelor of Computer Applications - Computer Applications - Rashtrasant Tukadoji Maharaj Nagpur University (2018-06 - 2021-08)