AgVerse — Product Analytics ML
Jan 1, 2020
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1 min read
Project Details
01
Telemetry Platform
Brought up Firebase server support to pull and analyze telemetry data.
02
Data Processing
Created an on-demand pipeline mechanism for integrating preprocessing modules.
03
Analytics Workflow
Processed telemetry data with Python, Pandas, and Firebase services.
04
HMM Estimation
Performed Baum-Welch algorithm-based parameter estimation.
05
State Modeling
Performed hidden Markov model parameter and state estimation.
Tech Stack
Data & ML
Python
Pandas
HMM
Platform
Firebase
Authors
Lead Engineer — GenAI / Agentic AI & Applied ML
Lead Engineer with 5 years of hands-on experience developing and deploying GenAI, RAG, Agentic AI, and deep learning systems from scratch. I build production-grade AI platforms for realtime voice interaction, enterprise knowledge retrieval, regulatory search, and automated finance analysis. My work spans NLP, autonomous driving, computer vision, and Camera-LiDAR-Radar fusion, with a focus on reliable architecture, model optimization, and scalable data pipelines.
Stack: Python, GCP, GenAI, LLMs, Agents, Docker, FastAPI, Cloud SQL, Google ADK, Vertex AI, Agent Engine, Cloud Run, OpenAI Realtime API, WebSockets, Redis, MongoDB, Milvus, JWT, Docling, BM25, ModernBERT, vLLM, and FAISS.