Namaskaram π, I'm Prasan
ML Engineer with 1 year of industry experience, 2 years of focused ML training, and 7+ years of cross-functional leadership in non-technical roles. I enjoy building real-world AI systems β my work spans LLM-powered conversational AI, computer vision, predictive modeling, and applied robotics.
- Agentic AI and LLMs β LangGraph, LangChain, ReAct agents, tool use, RAG, prompt engineering
- NLP β BERT, SBERT, conversational AI, fine-tuning, parameter-efficient fine-tuning
- Computer Vision β object detection, re-identification, Siamese networks
- Deep Learning β PyTorch, TensorFlow, CNNs
- Applied AI β robotics (ROS 2), healthcare, business intelligence
- Cloud and Data β Azure, GCP, SQL, Pandas
π BI Agent
Built a conversational BI assistant for a drone services company. It pulls live data from Monday.com via GraphQL, reasons over it using a LangGraph ReAct agent, and lets founders ask plain English questions about pipeline, revenue, collections and sector performance. Deployed on Hugging Face Spaces.
LangGraph LangChain Groq (Llama 3.3 70B) Streamlit GraphQL Hugging Face Spaces
π― TigerCensus
A computer vision system for wildlife conservation β detects and re-identifies individual tigers from camera-trap images. Extends Microsoft's CameraTraps / Pytorch-Wildlife framework with Siamese networks for one-shot learning. Achieved MAP@3 of 0.8.
YOLO v5 Siamese Networks Transfer Learning Computer Vision
Evaluated a range of ML models for credit risk, with a focus on maximizing recall to catch potential defaulters. Compared Logistic Regression, KNN, SVM, Gradient Boosting and AdaBoost across precision-recall tradeoffs.
Scikit-learn Ensemble Methods Precision-Recall
π©Ί MediBot
A context-aware, multi-turn conversational assistant for oncology. Uses a RAG pipeline to ground LLM responses in authoritative medical knowledge rather than hallucinating clinical details.
RAG LangChain Fine-Tuning Vector Database
- Research Scientist at Humanitarian Technology Labs, working on an ICMR-funded robotic ultrasound system (2025)
- MS in Machine Learning, University of Arizona (2024)