Vaishnavi Sudarsanam

AI/ML Engineer with hands-on internship experience across computer vision, GenAI, and full-stack AI systems. Builds and deploys PyTorch models, designs RAG pipelines and multi-agent/MCP-style orchestration workflows (LangChain, AutoGen, Google ADK 2.0), and exposes them via FastAPI/REST APIs. Comfortable across the full ML lifecycle — preprocessing, training, evaluation, deployment. Coauthor on a paper accepted at IEEE ICIRCA 2026.

Artificial Intelligence Intern - Infosys

(2025-12 - 2026-02)

• Fine-tuned EfficientNet-B0 on the DeepPCB dataset for defect detection, reaching 96% accuracy across 6 defect types; built custom preprocessing/augmentation pipelines and evaluated with precision, recall, and F1.

Advanced Generative AI Intern - Innomatics Research Labs

(2025-02 - 2025-03)

• Built RAG architectures and Agentic AI workflows using LangChain, open-source LLMs, and vector databases (FAISS/Chroma) for multi-step reasoning; applied LLM fine-tuning and prompt engineering to improve chatbot accuracy.

Web Development Intern - Zaalima Development Pvt. Ltd

(2025-10 - 2025-12)

• Named "Standout Performer"; built real-time collaboration and marketplace apps (MERN + Socket.IO), shipping REST APIs and optimizing backend performance for production use.

Frontend Developer Intern - Tecforz Innovations Pvt Ltd

(2025-07 - 2025-09)

• Integrated ML model APIs into a 26-module React/FastAPI hospital analytics dashboard with real-time JSON data visualization; awarded ₹10,000 for technical excellence.

Advanced Data Analysis Intern - Innomatics Research Labs

(2025-01 - 2025-02)

• Performed data wrangling, EDA, and feature engineering on real-world datasets; delivered interactive dashboards supporting data-driven decisions.

B.E. - Computer Science & Engineering - PPG Institute of Technology (2022 - 2026)