Experience
Machine Learning Engineer (Internship)
VanaciPrime – Lisbon, Portugal
March 2025 – Present
- Building an AI-native, cloud-ready Multi-Agent System for predicting employee attrition.
- Trained 13 models using AutoGluon, achieving 76% test accuracy.
- Architected 5-agent system using LangChain, FastAPI, Kubeflow.
- Planned FAISS/Pinecone-based semantic search to reduce query latency.
- Long-term goal: 30% reduction in HR manual analysis time.
Graduate Student ML Researcher
Fraunhofer IWM – Freiburg, Germany
July 2022 – January 2025
- Developed CNN-based PoC (80% accuracy) for automating material testing.
- Created and annotated image datasets using OpenCV, Pillow, NumPy.
- Built automated data pipelines and SDK integrations in Python.
- Enforced reproducibility with Git, CI/CD, and clean code practices.
Assistant Systems Engineer
Tata Consultancy Services – Pune, India
March 2018 – April 2019
- Automated a SWIFT-based pipeline and reduced storage needs by 20%.
- Maintained and optimized ETL servers, improving data processing time.
- Built a Confluence-based knowledge system for 30% faster onboarding.
- Documented 3 modules with Sphinx and Markdown.
Software Development Intern
BNY Mellon Technologies – Pune, India
January 2017 – April 2017
- Built batch-processing ATM system on IBM Mainframes with 18 features.
- Supported financial trading team by improving internal workflows.