Founding Manager, AI Product & Go-to-Market
I build computer-vision and LLM systems and take connected AI products from idea to launch.
Combining hands-on technical depth (computer vision, PyTorch, Python backend services, ML pipelines, and RAG) with product decisions, cross-functional execution, and launch operations.
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.
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.
Transforming at-home physical sports practice into an immersive, connected digital gaming experience with instant feedback.
Founding Manager - AI Product & Go-to-Market: motion data integration, mobile gameplay workflows, product architecture, launch execution, and user testing loops.
Hardware × Software × Interactive Gaming × Intelligent Systems
pickleball.themegashot.com · 2025 – Present
Motion Sensors
Smart Paddle Hardware
BLE Sync
Low-Latency Data Stream
Swing Logic
Stroke Interpreter
Mobile UI
Connected App Loop
Game Engine
Interactive Gameplay
Feedback
Haptic & RGB Response
What I Build
I build at the intersection of AI engineering, software systems, product design, and intelligent connected devices.
How I Build AI Products
AI product development is a complete lifecycle - from initial feasibility to production infrastructure and user-driven iteration.
UNDERSTAND THE PROBLEM
Understand users, workflows, constraints, and the actual problem before choosing AI.
VALIDATE FEASIBILITY
Determine whether AI is actually useful and identify the simplest viable technical approach.
PROTOTYPE
Build a working prototype to validate assumptions quickly.
EVALUATE
Measure accuracy, latency, reliability, cost, retrieval quality, and user usefulness.
PRODUCTIONIZE
Build APIs, infrastructure, deployment workflows, observability, and robust systems.
ITERATE
Use real-world feedback and usage to improve the product.
Featured Work
Production AI systems, computer vision models, research pipelines, and connected hardware taking AI from concept to shipped product.
Additional Projects & Web Systems
Earlier engineering projects, mobility web experiences, PropTech platforms, and frontend experiments.
Open Source & Experiments
Public repositories, notebook research, and technical experiments.
PDF_Searcher
A document search utility that ingests multi-page PDFs and enables semantic query retrieval using LangChain and OpenAI embeddings.
Generate_Blogs
Automated prompt-driven writing project that uses structured templates with OpenAI models to produce formatted technical posts.
Mars Rover Path Planning Colab
Research notebook exploring terrain segmentation, satellite imagery preprocessing, and obstacle-aware pathfinding algorithms.
Grouped Competencies
Grounded technical capabilities organized across machine learning, language models, backend infrastructure, product design, and interactive hardware.
AI & MACHINE LEARNING
LLM SYSTEMS
BACKEND & INFRASTRUCTURE
PRODUCT & SYSTEM DESIGN
CONNECTED & INTERACTIVE PRODUCTS
How I Work
Practical operating principles demonstrated across early-stage AI products, computer vision pipelines, and connected hardware.
Turning Ambiguous Problems into Structured Requirements
Transforming loose product concepts into clear PRDs, prioritized engineering backlogs, and explicit success criteria before committing development resources.
Connecting Technical Constraints with Delivery Decisions
Evaluating hardware battery limitations, BLE packet budgets, and inference latencies alongside user experience goals to choose practical architectural trade-offs.
Coordinating Execution & Learning from Feedback
Aligning cross-functional sprints across engineering, UX, and launch streams while using real player test telemetry to drive firmware and software revisions.
Professional Experience
My career progression spans satellite research, production ML APIs, low-latency computer vision pipelines, and early-stage AI product execution.
July 2025 - Present
Bangalore, Karnataka · Full-time
Metashot
Sports AI & Connected Gaming Products
Founding Manager
November 2025 - Present- Accelerated product readiness: Defined PRDs, feature roadmaps, and cross-functional milestones across firmware, mobile app, and hardware industrial design teams for connected sports tech products.
- Streamlined motion integration: Coordinated translation of 9-axis sensor readings into low-latency mobile gaming mechanics and real-time stroke feedback.
- Led go-to-market execution: Formulated technical product positioning, campaign page structure, and media narrative for product launches.
AI Engineer
July - October 2025- Optimized inference latency: Achieved sub-80ms real-time inference latency for cricket shot classification by profiling and optimizing PyTorch and OpenCV video pipelines.
- Integrated gaming engine workflows: Deployed live video classification models into Unity engine pipelines for immediate player feedback on shot execution.
- Structured session analytics: Engineered FastAPI and Redis backend services to cache and deliver player training session metrics.
Apoliums Infotech
Associate AI Engineer
May 2024 - June 2025
- Accelerated model iteration: Architected feature engineering and data preprocessing pipelines in Python and Pandas for machine learning datasets.
- Deployed production endpoints: Built and deployed RESTful FastAPI prediction services packaged with Docker, maintaining health checks and automated CI/CD validation.
- Automated deployment workflows: Standardized continuous integration pipelines on GitHub Actions to test, package, and deploy backend microservices reliably.
May 2024 - June 2025
Indore, Madhya Pradesh
February 2024 - May 2024
Ahmedabad, Gujarat · Research Internship
ISRO Space Applications Centre
Research & Development Intern
February 2024 - May 2024
- Rover path evaluation: Produced an 87.4% navigation-efficiency score in simulated rover traversal using PyTorch terrain segmentation models.
- Satellite imagery curation: Preprocessed and annotated 800+ HiRISE satellite images, categorizing 5 distinct terrain types including craters and dune ridges.
- Graph pathfinding integration: Combined semantic terrain segmentation outputs with A* and Dijkstra path planning algorithms to calculate obstacle-circumventing navigation routes.
View Earlier Internships (Ace Infoway, Relcon System) ↓
Ace Infoway
Software Engineer Intern · Jul–Aug 2023
Frontend optimization, abandoned cart recovery workflows, responsive refactoring.
Relcon System
Software Engineer Intern · Jun–Aug 2022
Fuel dispensing monitoring dashboard, IoT station software tracking metrics.
Hiring or building an AI product?
Targeting product management and technical engineering opportunities across AI systems, computer vision, connected hardware, and launch execution.
Om Javia
Founding Manager · AI Product Engineer
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Om Javia Founding Manager, MegaShot · AI Product Engineer © 2026