I’m a Machine Learning & Generative AI Engineer with strong hands-on experience in LLMs, RAG pipelines, NLP, and Agentic AI systems.
I enjoy building production-grade AI systems — from model training to deployment — with a focus on scalability, accuracy, and real-world impact.
- LLM-powered systems (RAG, semantic search, memory-augmented agents)
- Agentic AI frameworks inspired by decentralized & blockchain-like coordination
- End-to-end GenAI applications (FastAPI + LangChain + Vector DBs)
- LLMs, RAG, GenAI, Agentic AI
- ML / Deep Learning / NLP
- Research-oriented & production ML projects
LLMs, RAG, LangChain, Vector Databases, Transformers, Prompt Engineering,
Python, PyTorch, ML System Design, Model Evaluation & Deployment
- Email: prajwaldongre404@gmail.com
- Resume: https://drive.google.com/file/d/148PB5xX7H5B_kcEmS1qgV2yQ4fq2mtWH/view
I dream in algorithms and wake up with data-driven ideas 💭📈
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- NLP & Transformers
- Vector Databases & Semantic Search
- Prompt Engineering & Fine-Tuning
- Agentic AI & Workflow Automation
- Model Evaluation & Optimization
Frameworks & Platforms:
LangChain, FastAPI, Flask, Streamlit, Azure AI, AWS Bedrock, Supabase, Nginx
LLM Ecosystem:
ChatGPT, Claude, Gemini, OpenAI APIs, Vector DBs (FAISS / Pinecone-style)
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🔎 LLM-Based Web Search with Memory (RAG)
Context-aware RAG system with memory integration, reducing hallucinations by 80%. -
🧠 Brain Tumor Classification (Deep Learning)
CNN-based MRI classifier with 95%+ test precision. -
📄 Resume Scorer & JD Tailoring (NLP)
Automated resume scoring using embeddings & similarity metrics.
- 🥇 Kaggle Expert – Global Top 1% (493 / 58,382)
- 🥇 Rank 1 – Predicting User Travel Satisfaction (MachineHack)
- 📊 Published multiple Kaggle datasets with 100+ contributions