Tanay D. IngaleAI Engineer & Full-Stack Developer

Built an AI assistant that automates web tasks using Puppeteer and OpenAI LLMs. Enabled voice-controlled browsing with Chrome extension and real-time agent execution.

Combined OCR and vision transformers for digitizing handwritten prescriptions. Used fine-tuned LLMs for structured extraction of medical entities and voice-based queries.

Automated content workflows using MCP APIs, LLM-driven captioning, and performance analytics. Developed a dashboard with React + Firebase and integrated AI agents via LangChain.

Built lightweight RAG pipelines for YouTube Q&A, PDF summarization, and recipe recommendations. Used FAISS/Chroma for vector search and LLMs for dynamic responses via Streamlit UIs.

Developed a real-time security system integrating face recognition and behavioral analysis. Used llama.cpp + SmolVLM for lightweight vision-language model inference on local machines.

Built a PyTorch-based plant health monitoring model trained on custom hydroponic datasets. Deployed via a mobile app (React Native) with alert systems using REST APIs.

Trained object detection models for surveillance drones and deployed them on Raspberry Pi using ONNX. Optimized inference using OpenCV and ran models under constrained compute environments.

Embedded documents into vector databases and implemented natural language retrieval via LangChain. Output structured insights in JSON format for easy integration with other services.