Building production-ready AI products from idea to deployment.

I work across Computer Vision, LLMs, RAG, backend systems, and intelligent products to turn emerging AI capabilities into things people can actually use.

Om Javia's AI engineering workspace — code editor, neural network visualization
Current Work

MegaShot Pickl+ — Smart At-Home Gaming

Motion sensors, Bluetooth sync, and a connected gaming app — bringing real pickleball swings into interactive digital gameplay at home.

CURRENT WORKACTIVE PRODUCT

Motion-Sensing Pickleball Paddle & Connected Gaming

MegaShot Pickl+ bridges physical sports hardware with connected digital gaming. Players use a smart paddle that tracks swings, stroke power, and velocity in real time — turning every hit into interactive gameplay at home.

Motion SensingReal-Time Swing TrackingConnected Mobile GameplayBluetooth Connectivity
THE INNOVATION

Transforming at-home physical sports practice into an immersive, connected digital gaming experience with instant feedback.

MY ROLE

AI Product Engineer — motion data integration, mobile gameplay workflows, product architecture, and user testing loops.

Hardware × Software × Interactive Gaming × Intelligent Systems

MegaShot Pickl+ Smart Pickleball Gaming Platform

pickleball.themegashot.com · 2025 – Present

PRODUCT SYSTEM ARCHITECTURE
01

Motion Sensors

Smart Paddle Hardware

02

BLE Sync

Low-Latency Data Stream

03

Swing Logic

Stroke Interpreter

04

Mobile UI

Connected App Loop

05

Game Engine

Interactive Gameplay

06

Feedback

Haptic & RGB Response

Core Capabilities

What I Build

I build at the intersection of AI engineering, software systems, product design, and intelligent connected devices.

01 / CAPABILITY

COMPUTER VISION SYSTEMS

Real-time perception, video intelligence, detection, classification, and visual analytics.

OpenCVYOLOPyTorchVideo Intelligence
02 / CAPABILITY

LLM & RAG APPLICATIONS

Systems that retrieve, reason, search, and generate useful outputs from complex information.

LangChainRAGVector DBPrompt Engineering
03 / CAPABILITY

PRODUCTION AI SYSTEMS

Inference APIs, backend services, scalable workflows, deployment, and system reliability.

FastAPIRedisDockerCI/CD
04 / CAPABILITY

AI PRODUCTS

Taking AI ideas from discovery and feasibility through prototype, evaluation, deployment, and iteration.

PRDsProduct StrategyUser FeedbackIteration
05 / CAPABILITY

INTELLIGENT INTERACTIVE PRODUCTS

Exploring products at the intersection of sensors, connected devices, software, gaming, and intelligent interaction.

SensorsMotion DataInteractive GamingBluetooth
Methodology

How I Build AI Products

AI product development is a complete lifecycle — from initial feasibility to production infrastructure and user-driven iteration.

01

UNDERSTAND THE PROBLEM

Understand users, workflows, constraints, and the actual problem before choosing AI.

STAGE 01
02

VALIDATE FEASIBILITY

Determine whether AI is actually useful and identify the simplest viable technical approach.

STAGE 02
03

PROTOTYPE

Build a working prototype to validate assumptions quickly.

STAGE 03
04

EVALUATE

Measure accuracy, latency, reliability, cost, retrieval quality, and user usefulness.

STAGE 04
05

PRODUCTIONIZE

Build APIs, infrastructure, deployment workflows, observability, and robust systems.

STAGE 05
06

ITERATE

Use real-world feedback and usage to improve the product.

STAGE 06
Code Proof

Open Source & Experiments

Public repositories, notebook research, and technical experiments.

GitHub Repository

PDF_Searcher

A document search utility that ingests multi-page PDFs and enables semantic query retrieval using LangChain and OpenAI embeddings.

PythonLangChainOpenAIRAG
View Code →
GitHub Repository

Generate_Blogs

Automated prompt-driven writing project that uses structured templates with OpenAI models to produce formatted technical posts.

PythonOpenAIGenerative AIPrompts
View Code →
Research Notebook

Mars Rover Path Planning Colab

Research notebook exploring terrain segmentation, satellite imagery preprocessing, and obstacle-aware pathfinding algorithms.

PyTorchPathfindingSatellite ImageryColab
View Code →
Technical Stack

Grouped Competencies

Grounded technical capabilities organized across machine learning, language models, backend infrastructure, product design, and interactive hardware.

AI & MACHINE LEARNING

PyTorch
Computer Vision
YOLO (Object Detection)
OpenCV
Deep Learning
NLP
Hugging Face

LLM SYSTEMS

RAG Pipelines
LangChain
Prompt Engineering
Vector Search
ChromaDB

BACKEND & INFRASTRUCTURE

Python
FastAPI
Redis
MongoDB
MySQL
Docker
AWS
GitHub Actions
Vercel

PRODUCT & SYSTEM DESIGN

Product Strategy
PRDs & Roadmaps
System Design
AI Product Dev
Technical Prototyping

CONNECTED & INTERACTIVE PRODUCTS

Sensors & Hardware Scope
Motion Data Processing
Hardware-Software Integration
Real-Time Interactivity
Career Arc

Engineering Experience

My career has evolved through satellite research, production machine learning APIs, computer vision systems, and AI product engineering.

November 2025 — Present

Bangalore, Karnataka

Metashot logo

Metashot

AI Product Engineer

Product StrategyFastAPIUser LoopsPRDs
  • Led product execution across Engineering, UX, and Go-to-Market streams for smart sports gaming products.
  • Translated user feedback into actionable PRDs, prioritizing features for connected sports tech products.
  • Validated product-market fit through active feedback loops with 185+ players across real practice environments.
Metashot logo

Metashot

AI Engineer

PyTorchYOLOOpenCVFastAPI
  • Optimized computer vision shot detection pipelines using PyTorch and OpenCV for sub-80ms real-time inference latency.
  • Integrated real-time shot classification models directly into Unity engine workflows for seamless video feedback.
  • Refined user session analytics and player retention models to improve repeat practice session engagement.

July 2025 — October 2025

Bangalore, Karnataka

May 2024 — July 2025

Indore, Madhya Pradesh

Apoliums Infotech logo

Apoliums Infotech

Associate AI Engineer

PythonPandasFastAPICI/CD
  • Architected feature engineering and data preprocessing pipelines in Python and Pandas to accelerate model iteration cycles.
  • Deployed RESTful FastAPI inference endpoints for real-time machine learning predictions supporting 7K+ users on the platform.
  • Automated model deployment and validation workflows using CI/CD pipelines to ensure seamless updates and production stability.
ISRO logo

ISRO Space Applications Centre

Research & Development Intern

PyTorchComputer VisionPath Planning
  • Preprocessed and annotated 800+ HiRISE satellite images, categorizing 5 distinct terrain types including craters and boulders.
  • Developed PyTorch neural network segmentation models and integrated obstacle-aware path planning algorithms (A*, Dijkstra).
  • Achieved an 87.4% navigation efficiency score in obstacle-aware rover traversal simulations.

February 2024 — May 2024

Ahmedabad, Gujarat

July 2023 — August 2023

Rajkot, Gujarat

Ace Infoway logo

Ace Infoway

Software Engineer Intern

E-CommerceFrontendAPIs
  • Implemented abandoned cart push notification workflows to recover lost customer intent.
  • Refactored Budgie Cart web application interfaces for mobile-first user experiences.
  • Optimized frontend assets and bundle delivery to improve page loading responsiveness.
Relcon System logo

Relcon System

Software Engineer Intern

DashboardOperationsIoT Software
  • Contributed to smart fuel dispensing unit mobile applications with multi-OS compatibility.
  • Constructed operational monitoring dashboards for tracking real-time fuel dispensing metrics across 450+ stations.
  • Streamlined operational tracking workflows for field technicians and station operators.

June 2022 — August 2022

Vadodara, Gujarat

Let's Build Together

Have an AI product idea?

Whether you're exploring an AI idea, building an intelligent product, experimenting with Computer Vision, or improving an existing system, I'm always open to discussing interesting engineering challenges.

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Om Javia — AI Product Engineer © 2026