Hi, I'm

Pranav Narkhede

Full-stack engineer · project lead

I build and ship production software end to end — mobile, web, cloud, and the systems behind them.

AI/ML resume Full-stack resume

Pranav Narkhede

What I Build

Production systems across domains — owned from architecture through deployment.

Apps & websites

Native Android and iOS apps (Flutter), then production websites and dashboards — food delivery, HRMS/CRM, accessibility, and enterprise products.

Cloud & scale

Microservices on Azure, AWS, and GCP — CI/CD, containers, and systems that hold up in production.

Real-time systems

Live order and delivery flows, ops dashboards, WebSockets, and field tools synced to central backends — built for real traffic, not static demos.

Applied AI

Geofencing and plot mapping, training-center analytics, MLOps pipelines, and computer vision — deployed where they change day-to-day operations.

Professional Experience

Five core engagements — end-to-end delivery, production ownership.

HoReCa · AI · 2025 – Present

DrillDown

AI/ML Engineer

01
HoReCa · AI · 2025 – Present

DrillDown

AI/ML Engineer

20M+ rows cleaned and preprocessed — MLOps pipelines, ML predictions & anomalies, internal tools, employee DB, and a real-time multilingual voice assistant for cafés.

Legal tech · 2025 – 2026

iLegalLearn

AI Engineer

02
Legal tech · 2025 – 2026

iLegalLearn

AI Engineer

Scraped 1.5 crore+ case laws; RAG agentic bot with MCP tools and Integration Agents++.

Accessibility · 2024 – 2026

Team Vision

App Developer

03
Accessibility · 2024 – 2026

Team Vision

App Developer

Audio library app — 600+ blind users, 50+ institutions, 100+ volunteers.

EdTech · 2024 – 2026

Tata STRIVE

AI Systems Engineer

04
EdTech · 2024 – 2026

Tata STRIVE

AI Systems Engineer

YOLO + Buffalo / InsightFace — real-time monitoring and engagement detection, rolled out across 4 Tata STRIVE centers.

AgriTech · 2023 – 2026

Godavari Bio

Full-Stack & AI Developer

05
AgriTech · 2023 – 2026

Godavari Bio

Full-Stack & AI Developer

AI geofencing app — 50,000+ plots digitized, used by hundreds of supervisors daily.

More experience

Product · 2024 – 2025

OPM Corporation

Software Engineer

MarTech · 2026

WhizMedia

Project Lead

Space · IoT · 2022 – 2024

New Leap Labs

IoT & Space Systems Engineer

Software lab · 2023

S4DS · KJSIT

Mobile Engineer

Contract & Consulting

Available for Freelance Projects

I offer professional services in:

  • AI & Machine Learning Solutions
  • Mobile App Development (Flutter / React Native)
  • Backend Development (Django / Flask / Node.js)
  • Website Development
  • AWS Cloud Solutions & Hosting
  • MLOps & Data Pipeline Development

Contact me at: [email protected] +91 7620260232

Projects

Production apps and platforms — shipped end to end.

Accessibility · AI

Vision AI

Food tech · WhatsApp & mobile

MyFojo

Django · Node.js · Azure · Redis · live tracking

AgriTech

S.T.E.P.S

Accessibility

Team Vision

Legal tech · Agentic AI

iLegalLearn

HoReCa · MLOps · 20M+ rows

Paletos & DrillDown

Predictions · anomalies · voice AI

Stack

Tools I use to ship — grouped by layer.

Frameworks

FlutterReactReact Native DjangoFlaskFastAPINode.js

Databases

PostgreSQLMySQLMongoDB FirebaseSQLite

Cloud & DevOps

AWSAzureGCP DockerKubernetesJenkinsCI/CD

Languages

PythonDartJava CHTMLCSS

Research Experience

Published and collaborative research on temporal intelligence, data quality, and decision-aware AI systems.

AI-Driven Spatio-Temporal Forecasting of Urban Food Demand

IEEE INGARSS 2025

  • Forecasted urban food demand using historical transaction data and satellite-derived weather parameters
  • Designed temporal alignment pipelines and handled missing and noisy signals
  • Developed sequential forecasting architectures to capture time-dependent demand behavior
  • Emphasized uncertainty handling and evaluation strategies suitable for operational decision-making
  • Demonstrated how spatio-temporal modeling can support planning and resource allocation in real-world systems

LAGN: Large Annotated Gujarati News Dataset

ICDMAI 2025

  • Contributed to LAGN — 156,884 Gujarati news articles with hybrid human–machine annotation
  • Reproducible preprocessing: normalization, deduplication, version-controlled releases
  • FAIR data principles and transformer evaluation for low-resource classification
  • Dataset engineering, reproducible experimentation, and knowledge-driven AI

AI-Driven Thunderstorm Prediction with Multi-Stage Cascade Filtering

Indian Meteorological Department (IMD)

  • Short-term thunderstorm prediction on large-scale hourly meteorological records
  • Modeling for extreme class imbalance and rare-event detection
  • Cascade-based filtering with meteorological domain knowledge
  • Hybrid AI combining structured rules with data-driven methods

Achievements

Recognition beyond the day job — space, competitions, and community.

Competitions

15+ hackathons won

Shipped under pressure across AI/ML, full-stack, and product tracks — national placements, social-impact builds, and repeat wins on tight timelines.

Community

KNOWCODE · Lead Organizer

Mumbai's first 36-hour hackathon at KJSIT — 300+ participants, 10+ sponsors, Letter of Appreciation for execution and impact.

Contact

Get in Touch

Feel free to reach out for collaborations or questions!