03 // TRAJECTORY

Experience

Team Lead – NIDAR 2027 RescueSwarm

Autonomous Multi-Drone Survivor Search & Aid Delivery Challenge • Pune, India
Current
  • Leading a 10-member team building a collaborative autonomous multi-drone system for the NIDAR 2027 Track 1 Drone Innovation challenge, tasked with search, survivor geotagging, and aid delivery.
  • Own the computer vision pipeline for real-time human/survivor detection using YOLO11n, deployed on an edge Raspberry Pi 5 for onboard, network-independent inference.
  • Architecting the mission-critical Ground Control Station interface for unified multi-drone telemetry, mission planning, and live survivor/delivery status reporting to a single operator.
YOLO11NRASPBERRY PI 5EDGE AIMAVLINKGCSAUTONOMOUS SYSTEMS

AI/ML Cohort Member

Catalyst Tech Club, Pune, India
Current
  • Selected as part of the college AI/ML cohort focused on applied machine learning, EDA, and project-based learning.
  • Attended technical sessions and contribute ~40 hours/week toward self-learning and project development.
  • Built applied ML and backend-integrated projects to reinforce concepts learned through the cohort.
PYTHONEDASCIKIT-LEARN

Academic

B.Tech in Electronics and Telecommunication

AISSMS Institute of Information Technology, Pune

GPA: 8.05 / 10

2025 - Present

Additional Skills

Version Control (Git/GitHub)

Production-style Git workflows: branching, PRs, code reviews, and collaborative development at team scale.

Linux Power User

Fluent in the terminal: scripting, environment setup, and system navigation without touching a GUI.