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I'm Pranav!
AI & Data Science Engineer

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AI/ML Resume Full Stack Resume

About

Pranav Narkhede

I'm Pranav Narkhede

An experienced AI and Data Science professional and freelancer with 7+ successful internships. I am a student at K J Somaiya Institute of Technology, Mumbai, currently pursuing my Bachelor of Technology. I have hands-on experience in Artificial Intelligence, Machine Learning, backend development, cloud hosting solutions, and App development.

Skills

Technical Expertise

Languages

C, Python, HTML, CSS, Java, Dart

Libraries

NumPy, Pandas, Matplotlib, OpenCV, AR Core, TensorFlow, Sci-kit, PyTorch, Selenium

Frameworks & Tech

Flutter, Django, Flask,Fast API,Node js,React, React Native, APIs, IoT

Cloud & DevOps

AWS, Azure, Google Cloud, Oracle, MLOps, Docker, Jenkins, Kubernetes, CI/CD

Databases

MySQL, Firebase, PostgreSQL, MongoDB, SQLite

Freelancing Services

Available for Freelance Projects

I offer professional services in:

  • AI & Machine Learning Solutions
  • Mobile App Development (Flutter)
  • Backend Development (Django/Flask)
  • AWS Cloud Solutions & Hosting
  • MLOps & Data Pipeline Development

Past Clients: Team Vision Foundation, Saffair, Godavari Bio Refineries, and other valued clients

📧 Contact me at: [email protected] | 📱 +91 7620260232

Experience (7+ Internships)

DrillDown, Juhu

AI/ML Engineer

  • Developed AI tools for HoReCa (Hotel/Restaurant/Cafe) industry
  • Created MLOps pipeline for sales and inventory prediction statistics
  • Built internal tools and employee database management system
  • Tech Stack: Neural Networks, BigQuery, Google Cloud Console, Docker

OPM Corporation

Project Manager & Full Stack Developer

  • Managed multiple client projects with end-to-end delivery responsibility
  • Implemented comprehensive DevOps solutions on Azure and AWS platforms
  • Established CI/CD pipelines using Jenkins for automated deployment
  • Tech Stack: React Native, Flutter, Django, Node.js, Azure, AWS, MySQL, Jenkins

iLegalAdvice

AI Intern

  • Led development of RAG-based legal chatbots processing 1,000+ case laws
  • Built AI tools for content summarization and document classification
  • Deployed cloud solutions using AWS RDS & EasyPanel with 99.9% uptime
  • Tech Stack: RAG, AWS RDS, EasyPanel, AI Chatbots

WhizMedia

Project Lead

  • Led development team to create comprehensive social media management suite
  • Managed project timelines and assigned tasks to development team members
  • Oversaw deployment strategies and managed production releases
  • Tech Stack: React.js, Node.js, MongoDB, AWS, DevOps

Godavari Biorefineries Limited

App Developer and Data Analyst

  • Developed mobile app used by 150+ supervisors to map and manage 400,000+ plots, enabling real-time data synchronization with factory
  • Integrated AI-based auto geo-fencing model in QGIS, automating plot detection and coordinate mapping, reducing manual entry by 80%
  • Led backend development with Django, handling deployment and maintenance
  • Tech Stack: Flutter, Django, QGIS, Google Maps API

Team Vision Foundation

Freelancer

  • Developed and updated Team Vision App for visually challenged users
  • Added 30+ features and deployed to Play Store
  • Managed upload of 400+ Audio Books
  • Tech Stack: Flutter, Firebase, Java

New Leap Labs

IoT Intern

  • Part of BeliefSat-0 satellite launch team with ISRO
  • Worked on IoT product design and AI integration
  • Contributed to ground station communication
  • Tech Stack: Ansys, IoT Protocols, Satellite Communications

S4DS, KJSIT

App Development Intern

  • Developed Android apps using Flutter framework
  • Implemented Firebase backend solutions
  • Created REST API integrations
  • Tech Stack: Flutter, Firebase, REST APIs

⚡ Featured Projects ⚡

Paletos Restaurant

🏪 Paletos Restaurant

  • MLOps pipeline for restaurant network processing 2M+ rows of sales data
  • Implemented ARIMA model with live data feedback for sales prediction
  • Tech Stack: Python, MLOps, ARIMA, Random Forest, Django, React.js
FontFusion

✒️ FontFusion

  • Font generation app combining styles using AI models
  • Built GAN and VAE models trained on Google Font dataset
  • Tech Stack: Flutter, Django, PyTorch, REST APIs, GAN, VAE
Neerja

🚨 Neerja

  • Human trafficking detection and prevention system
  • Trained MobileNet & BiLSTM on 2000+ videos for activity detection
  • Tech Stack: Flutter, OpenCV, pytorch,Django,SQLite
Mimic AI

🔊 Mimic AI

  • Voice cloning system with emotion preservation
  • Implemented Tacotron and WaveRNN pipeline for synthesis
  • Tech Stack: Django, TensorFlow, PyTorch, Web Audio API
S.T.E.P.S

🌱 S.T.E.P.S

  • Agricultural plot management system with geofencing
  • Integrated Google Maps API with real-time tracking
  • Tech Stack: Flutter, Django, MySQL
  • Available on Play Store
TrackFit

🏃 TrackFit

  • AR-powered fitness app with posture correction
  • Implemented GAN for personalized meal planning
  • Tech Stack: Flutter, React.js, Django, AR Core, OpenCV
Team Vision

👥 Team Vision Audio Library

  • Audio book platform for visually challenged users
  • Built volunteer upload system with user management
  • Currently used by 100+ visually challenged users and 15+ volunteers
  • Tech Stack: Flutter, Firebase, Java
  • Available on Play Store
Vision AI

👁️ Vision AI

  • All-in-one solution for specially abled people
  • Scene description, real-time captioning, and speech assistance
  • Mental health support and learning resources
  • Tech Stack: Flutter, Django, TensorFlow, OpenCV, NLP
  • View on GitHub
Know-Media

🤖 Know-Media

  • AI-powered social media management platform
  • Automated content generation and scheduling
  • Advanced analytics dashboard with performance tracking
  • Tech Stack: Next.js, Firebase, Flask, AI/ML
  • Achievement: 2nd Runner-up at National Level Hackathon
  • View on GitHub
MarketMap

📊 MarketMap

  • Restaurant data analytics platform with MLOps pipeline
  • Sales prediction and festival impact analysis
  • Location intelligence for optimal outlet placement
  • Tech Stack: Python, MLOps, ARIMA, Machine Learning, Data Visualization, Django, React.js, PostgreSQL, Docker, AWS
  • View on GitHub

Research Experience

My academic interests are strongly research-oriented, with a focus 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 the construction of LAGN, a large-scale dataset consisting of 156,884 Gujarati news articles
  • Designed a hybrid human–machine annotation pipeline combining automated labeling with manual validation
  • Implemented reproducible data preprocessing workflows including text normalization, deduplication, and version-controlled dataset releases
  • Emphasized FAIR data principles and semantic consistency
  • Evaluated transformer-based language models for low-resource text classification, analyzing model behavior and generalization
  • Strengthened understanding of dataset engineering, reproducible experimentation, and knowledge-driven AI

AI-Driven Thunderstorm Prediction with Multi-Stage Cascade Filtering

Collaboration with the Indian Meteorological Department (IMD)

  • Focused on short-term thunderstorm prediction using large-scale hourly meteorological observations
  • Worked with 107,133+ hourly meteorological records spanning multiple years
  • Addressed extreme class imbalance where thunderstorm occurrences represent a small fraction of observations
  • Designed modeling strategies tailored for time-dependent rare-event detection
  • Emphasized temporal feature representation and cascade-based filtering to progressively refine predictions
  • Integrated meteorological domain knowledge with statistical learning to improve robustness and interpretability
  • Highlighted the importance of hybrid AI systems combining structured domain rules with data-driven methods

Achievements

Space Technology Achievement

🛰️ ISRO Recognition - Letter of Appreciation for contribution to BeliefSat-0 satellite project, successfully launched by ISRO India onboard PSLV C-58 mission

Hackathon Journey & Achievements

🏆 Major Victories

  • Code Odyssey 3.0 Champion - First place with ₹20,000 prize for TrackFit
  • Neural Nexus AI/ML Hackathon - Created "Neerja", an innovative women safety tool
  • LevelUp Hackathon - 2nd Runner-up at National Level for AI-powered social media manager
  • NFC TSEC Hackathon - 2nd Runner-up among 500+ participants

🌟 Key Highlights

  • Multiple winning projects in AI/ML domain
  • Recognition from industry experts
  • Growth from participant to organizer
4+ Victories 500+ Participants AI/ML Focus

Event Organization Excellence

🎖️ Letter of Appreciation for organizing Mumbai's First 36-Hour Hackathon "KNOWCODE" at KJSIT with 300+ participants and 10+ sponsors

Contact

Get in Touch

Feel free to reach out for collaborations or questions!