Flipkart Grid 7.0 Robotics & AI Hackathon

Real-time spatial mapping and autonomous navigation pipeline

Flipkart Grid 7.0
Aug 2024 - Oct 2024
Participant (Advanced to Final Round)

Developed an autonomous system featuring real-time spatial mapping and path planning algorithms under Flipkart's Grid 7.0 engineering challenge constraints. Participated in the nationwide competition among top engineering talent.

Key Contributions & Outcomes

  • Advanced through multiple rounds to reach the final stage
  • Designed dynamic pathfinding algorithms for autonomous navigation
  • Implemented hardware-in-the-loop SLAM simulation with obstacle avoidance

Technologies & Methodologies

ROS
C++C++
PythonPython
OpenCVOpenCV
SLAM
PaperGitHub

Purplle Tech Challenge 2.0

Advanced recommendation engine and personalized skin-tone mapping

Purplle.com
June 2024 - July 2024
2nd Round Finalist

Engineered a personalized deep learning model to accurately classify skin-tones and recommend cosmetics products based on custom user preferences and search logs. Reached the 2nd and final round among thousands of participants.

Key Contributions & Outcomes

  • Advanced to the 2nd and final round of the hackathon
  • Built skin-tone detection model with 94.2% validation accuracy
  • Designed real-time API response of under 45ms for dynamic personalization

Technologies & Methodologies

PyTorchPyTorch
FastAPI
React Native
MongoDBMongoDB
Collaborative Filtering
PaperGitHub

Hackon by Amazon

AI-driven e-commerce optimization challenge

Amazon Hackon
Sep 2024
Participant

Participated in Amazon's Hackon hackathon focusing on building innovative solutions for e-commerce optimization using machine learning and cloud technologies. Competed among top developers and engineers across India.

Key Contributions & Outcomes

  • Developed solution for product recommendation optimization
  • Leveraged AWS services for scalable deployment
  • Competed among top engineering talent nationwide

Technologies & Methodologies

AWSAWS
PythonPython
Machine Learning
ReactReact
GitHub

Goldman Sachs Engineering Campus Hiring Challenge

Algorithmic trading and quantitative finance problem solving

Goldman Sachs
Oct 2024
Rank 3329

Competed in Goldman Sachs' campus hiring challenge focusing on algorithmic problems and quantitative finance concepts among engineering students across India.

Key Contributions & Outcomes

  • Achieved rank 3329 among thousands of participants
  • Demonstrated proficiency in algorithmic problem solving
  • Competed in quantitative finance and trading challenges

Technologies & Methodologies

PythonPython
Algorithms
Data Structures
Finance

HackSagon

Multi-domain hackathon for innovative solutions

HackSagon
Nov 2024
Finalist

Participated in HackSagon hackathon, reaching the finalist stage with a solution addressing real-world problems. Competed among talented developers and innovators.

Key Contributions & Outcomes

  • Reached finalist stage among competitive participants
  • Built end-to-end solution with modern tech stack
  • Advanced to final round with innovative project

Technologies & Methodologies

Full Stack
AI/ML
Cloud