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phvpavankumar/README.md

Pavan Kumar P H V

Applied AI & Forward Deployed Engineering

Finance and operations knowledge. Production AI agents. Real-time computer vision.

Portfolio LinkedIn

Bengaluru, India · Email me

What I bring together

I build AI systems for people who need dependable answers from business data, documents and the physical world.

My experience connects financial analytics, enterprise software and real-time machine learning. I work with business stakeholders to understand the problem, build the system and check that its outputs hold up in production.

Combination What that means in practice
Finance + AI agents Turn questions about margins, costs, inventory and working capital into analytical tools and AI-assisted answers.
Enterprise data + answer validation Work with SAP data, SQL and document retrieval; use source reconciliation, regression tests and tracing to check results.
Computer vision + production ML Build retail recognition and industrial inspection systems, optimize inference and deploy model-serving APIs.
Customer delivery + cloud engineering Translate business requirements into architecture, implementation and deployment, with expertise across AWS, Azure and GCP.

Selected work

  • Enterprise financial analytics: Built LangGraph orchestration over SAP-backed analytical tools and traced financial figures from source calculations to user-facing answers.
  • Process knowledge: Turned business-process recordings into reusable documentation; built asynchronous ingestion, hybrid vector + SQL retrieval and persistent conversation history.
  • Real-time retail vision: Delivered multi-camera inference with sub-200 ms response times at 15–20 FPS, using YOLO, TensorRT and LightGlue.
  • Operational intelligence: Built RFID model-serving APIs and LLM-assisted log investigation workflows supporting 1,000+ review cycles.

Most recent enterprise work lives in private repositories. The public repositories here mainly reflect earlier independent and academic work; my portfolio provides broader context on my experience.

Engineering toolkit

Area Technologies
Agents, retrieval & evaluation LangGraph, LangChain, RAG, pgvector, Langfuse
Software & data Python, SQL, Go, C++, FastAPI, PostgreSQL, Redis, MongoDB
Cloud & deployment AWS, Azure, GCP, Docker, Kubernetes, CI/CD
Vision & edge TensorRT, ONNX, OpenCV, YOLO, LightGlue
Enterprise integration SAP Datasphere, OData, analytical APIs, KPI reconciliation

Background

Currently Senior Integration Consultant — Analytics & Information Management at Cervello India, a Kearney company, focused on Applied AI / GenAI engineering. Previously built AI and ML systems at SOLUM and Ignitarium. I also mentor two engineers and conduct AI engineering interviews.

Let's connect

Interested in Senior Applied AI and Forward Deployed Engineering roles that support remote work from India, particularly enterprise agents, finance and operations, and reliable AI platforms.

Portfolio & Finance × AI writing · LinkedIn · phvpavankumar@gmail.com

Pinned Loading

  1. LaneDetection LaneDetection Public

    LaneDetection

    Jupyter Notebook

  2. Stable-Diffusion-Application Stable-Diffusion-Application Public

    A Streamlit web application code addressing the detailed overview of what is stabel diffusion?

    Jupyter Notebook

  3. YouTube_Video_Summarizer YouTube_Video_Summarizer Public

    YouTube Video Summarizer

    Python

  4. LibraryManagementSystem LibraryManagementSystem Public

    Library Management System CML Application

    Python 1

  5. Denoising_Word_Embedding Denoising_Word_Embedding Public

    This repo contains the code and the material used for conducting experiments.

    Jupyter Notebook

  6. Sentiment-Analysis-for-Malayalam-Tamil-and-Kannada-Languages Sentiment-Analysis-for-Malayalam-Tamil-and-Kannada-Languages Public

    This repository contains the code used in the competition Dravidian-CodeMix-FIRE2021. By Team Amrita_CEN_NLP

    Jupyter Notebook 1