ABOUT ME
ENGINEER TODAY. PRODUCT LEADER TOMORROW.
I am currently pursuing M.Tech in ICT (Software Systems) at Dhirubhai Ambani University. My experience spans backend development, machine learning research, satellite data analytics, and academic mentoring. Alongside my technical foundation, I am actively exploring Product Management, where I can combine technology, business understanding, and user-centric thinking to build impactful products.
SKILLS
- Java
- SQL
- REST API Development
- Spring Boot (Basics)
- Machine Learning
- ML-based Predictive Systems
- Python
- Prompt Engineering
- PostgreSQL
- MySQL
- Power BI
- Jira
- Git
- Postman
- API Testing
- ChatGPT
- Gemini API
- Claude
- Antigravity
- VS Code
- IntelliJ IDEA
- Spyder
EXPERIENCE
Research Intern
Space Applications Centre (ISRO)Developed machine learning models for Sea Surface Height prediction using satellite altimetric data. Performed preprocessing, visualization and oceanic pattern analysis supporting Earth observation research.
Teaching Assistant
Dhirubhai Ambani UniversityAssisted faculty in Computer Networks and Deep Learning laboratory sessions. Evaluated assignments and mentored students to strengthen coding and conceptual understanding.
Senior Management Position
Malgadi DDULed operations, marketing and team coordination for a student-led startup. Managed execution, customer satisfaction and cross-functional collaboration.
Event Coordinator
StartupExpo • Business Club - DAU & DCEICoordinated StartupExpo at Dhirubhai Ambani University, bringing together 20+ startups and 8 venture capitalists. Managed event execution, cross-functional coordination, and logistics while facilitating networking between founders, investors, and attendees.
SELECTED PROJECTS
Enterprise RAG Knowledge Assistant
Developing a production-grade Retrieval-Augmented Generation (RAG) platform with stateless JWT authentication and role-based access control (RBAC), ensuring HR and Engineering documents are secured through database-level authorization rather than UI restrictions. Engineered a format-aware document ingestion pipeline that automatically detects seven document types and performs type-specific cleaning, chunking, and metadata extraction before vector storage.
UNDER DEVELOPMENTRegion-wise Wi-Fi Indoor Localization System
Built a hierarchical indoor localization framework using Wi-Fi RSSI fingerprinting, DBSCAN clustering, and Random Forest models for floor, region, and cell-level prediction. Optimized Wi-Fi Access Point selection using Ant Colony Optimization (ACO), achieving 100% floor classification and ~86% region classification accuracy.
SummarAI – AI Meeting & Document Intelligence Assistant
Built a multimodal AI assistant that transforms text, audio, and documents into structured summaries, key insights, action items, and context-aware Q&A. Implemented hierarchical summarization with intelligent chunking and grounded responses to improve AI reliability and reduce hallucinations.
LIVE DEMOExtended Indoor Localization using NavIC Data
Analyzed NavIC satellite availability and signal degradation across indoor and outdoor environments. Developed machine-learning based localization models using smartphone sensor data and anomaly detection.
Research PaperSubscription Organization
Built a Django-based subscription management platform with automated reminders and a REST-powered movie recommendation system using genre similarity.
VIEW PROJECTAltimetric Application of CYGNSS Data
Evaluated CYGNSS satellite data for Sea Surface Height prediction using machine learning techniques and correlation-based analysis to improve sea-level forecasting.
VIEW PROJECTPrivacy-Preserving Face Generation
Proposed a novel multi-target identity fusion framework for privacy-preserving face generation using diffusion models. Reduced identity leakage while preserving image quality, achieving a Protection Success Rate (PSR) of 1.00 at FAR@0.01.
VIEW PROJECTFood Ordering System - SOLID Principles
Designed and implemented a Food Ordering System in Java to compare Bad Design and Good Design using all five SOLID principles. Created UML class diagrams to visualize the architectural improvements and demonstrate how SOLID enables a modular, maintainable, and extensible system.
EDUCATION
M.Tech ICT (Software Systems)
Dhirubhai Ambani University
CPI: 8.34B.Tech Computer Engineering
Dharmsinh Desai University
CPI: 8.6812th Grade, High School
AB School
Percentage : 77.07%10th Grade School
ST Joseph English Teaching High School
Percentage : 82.66%GATE 2025 Qualified
Graduate Aptitude Test in Engineering
Score: 569CURRICULUM VITAE
RESEARCHING.
BUILDING.
LEARNING.
Download my latest resume containing software engineering, product management and machine learning experience.
CONTACT