📍 Pune, India • 📧 nilamwadhavane123@gmail.com

✨ Data Scientist working on real-world AI systems for Google (via Agivant Technologies)
⚡ Specialized in Machine Learning, NLP, Deep Learning & Generative AI
☁️ Strong expertise in GCP (Vertex AI, Dataflow, Pub/Sub, BigQuery)
🔁 Building real-time scalable ML pipelines & AI-driven automation systems
🎯 Focused on LLMs, Agentic AI, and production-grade ML systems

• 🤖 LLM-based AI applications & Prompt Engineering
• ⚡ Real-time ML pipelines using Apache Beam + GCP
• 🧠 Agentic AI systems using MCP & Google ADK
• 📊 Improving model performance & deployment (MLOps)

• 🥇 Spotlight Award Winner (2025)
• 📈 Boosted operational productivity by 20% using AI systems
• 🔊 Processed 5M+ audio files & 500K+ monthly calls
• 🎯 Built ML systems achieving ~90% accuracy
• ⚡ Delivered real-time AI pipelines at scale (GCP)

AI system for call center audio quality analysis

• 🎧 Detects Background Noise, Echo, Low Volume
• 🧠 Built using YAMNet (Transfer Learning)
• ☁️ Deployed on GCP (Vertex AI + Dataflow + BigQuery)
• 📊 Generates AI-driven CSAT scores
• 📈 Improved support efficiency by 20%

Converts design → production-ready code

• 🧩 Built using MCP Servers (Google ADK)
• ⚡ Generates Next.js applications
• 🏗️ Auto folder structure (industry standard)
• 🎯 Accuracy: 70–80%

Network Intrusion Detection System

• 🤖 Models: Random Forest, XGBoost, Isolation Forest, KNN
• ⚡ Accuracy: ~90%
• 🔁 Pipeline: Apache Beam + Pub/Sub + Dataflow + BigQuery
• 📊 Dashboard with real-time alerts (Looker)

Python SQL C++

Scikit-learn TensorFlow PyTorch NLP Computer Vision LLMs

GCP Vertex AI BigQuery Pub/Sub Dataflow
MLflow Kubeflow TensorBoard

Apache Beam Docker Git Postman Jupyter Looker Power BI

• 🟢 GCP Professional Machine Learning Engineer
• 🔵 Azure Data Engineer Associate
• ☁️ GCP Cloud Digital Leader
• 🤖 Google AI Agents Certification

GitHub • LinkedIn • HackerRank • LeetCode

"I don’t just build models — I build scalable AI systems that solve real-world problems."