Pranav Navandar

Software developer · Pune, India

Pranav Navandar.

Information Technology undergraduate at VIT Pune, working across intelligent applications, high-performance search, and full-stack product engineering.

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Activity

900+Algorithmic problems solved
—GitHub contributions
—Active days
DSA Development Both

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My projects

Search systems · C++

AutoSearch Engine

A typo-tolerant search core that combines Trie prefix retrieval, BK-tree approximate matching, and QWERTY-aware weighted distance to rank suggestions by intent.

  • Sub-0.1 ms cached query latency with a thread-safe O(1) LRU
  • Native REST API, benchmark CLI, and React interface
C++20TrieBK-treeDocker
View repository

Clinical workflows · AI

MediFlow

An AI-assisted outpatient documentation platform that turns live consultations into structured EMR data while keeping clinical review and safety checks in the loop.

  • Reduced documentation time from 45% of a visit to 20%
  • Allergy warnings, audit trails, and patient history
Next.jsTypeScriptMongoDBGroqDeepgram
View repository

Document intelligence · Full stack

AutomateInvoice

A full-stack invoice workspace that ingests PDF attachments from email, structures them with multimodal AI, and makes financial records searchable and exportable.

  • Gmail-to-MongoDB PDF ingestion pipeline
  • Grounded AI queries, analytics, editing, and Excel export
ReactExpressPythonMongoDBGemini
View repository
Experience

Sep — Nov 2025

Project Intern · Sumago Infotech

Built AgriFlow, a smart agriculture and water-resource optimization system. Its hybrid RAG pipeline combined Pinecone, weather, and mandi-market data, reaching a 0.823 SBERT score across 100 evaluation queries.

Education

B.Tech in Information Technology

Vishwakarma Institute of Technology, Pune
2023 — 2027 · CGPA 9.25 · Top 10 in the department

Toolbox

Core

C++ · Java · Python · TypeScript · SQL

Product

React · Next.js · Node.js · Express

Data & systems

MongoDB · MySQL · SQLite · Docker · Git

Research

Published & protected.

Peer-reviewed work presented at the 16th International Conference on Advances in Computing, Control and Telecommunication Technologies.

SCOPUS A Survey on Machine Learning Techniques to Enhance Web ApplicationACT 2025 · Vol. 1 · pp. 3406–3414A review of how machine learning strengthens web security, prediction, personalization, and user experience. SCOPUS Alzheimer Detection using Deep LearningACT 2025 · Vol. 2 · pp. 9607–9615An interpretable ensemble of CNN, VGG19, and ResNet50 models for MRI/CT classification, reporting 97.5% accuracy.

Patents

View ORCID
India · Published application

A Self-Powered Energy Harvesting Hinge System for Smart Infrastructure and IoT Applications

Converts door-hinge motion into stored electrical energy for sensor-driven, wirelessly monitored infrastructure.

Application 202521125128 · Publication 09/2026 · 27 Feb 2026
South Africa · Granted

A System for Sarcasm Detection in Textual Communication Using Deep Learning Transformer Models

A transformer-based system designed to identify contextual and semantic signals of sarcasm in text.

Patent 2025/10161 · Granted 29 Jul 2026