Nishanth Konchada

Reducing wait times and optimizing food ordering through intelligent slot booking and real-time crowd tracking.

• Built a smart canteen management system with slot-based scheduling and live crowd monitoring.
• Integrated Firebase, AWS, GCP, FastAPI, and PostgreSQL for a robust backend.
• Implemented ML-based demand prediction and secure user authentication.

• Flutter
• Firebase
• AWS
• GCP
• FastAPI
• PostgreSQL
• ML

A Flutter application dedicated to pet lovers, providing a community space to share stories, learn about animals, and support pet welfare.

• Developed a comprehensive mobile application with a real-time community feed via Firebase.
• Integrated Gemini AI to power an interactive support chat for answering pet-related queries.
• Included 'Know the Sound' interactive learning and secure user authentication.

• Flutter
• Firebase
• Gemini AI
• Dart

Demonstrating how the Trie data structure powers real-world systems: autocomplete, DNA matching, IP routing, and URL routing.

• Implemented specialized Trie variants achieving constant O(1) time for 32-bit IP lookups.
• Developed autocomplete query optimizations achieving up to 1000x speedups for large datasets.
• Built independent Python modules with a robust Pytest suite for edge cases.

• Python
• Data Structures
• Algorithms
• Pytest

An AI agent that detects broken GitLab CI pipelines, generates fixes with Gemini 2.5 Pro on Vertex AI, and opens a Merge Request automatically.

• Engineered an autonomous agent to diagnose and repair GitLab CI failures.
• Utilized Gemini 2.5 Pro on Vertex AI for generating minimal fixes.
• Automated branch creation, commit, and MR workflows.

• Python
• GitLab
• Vertex AI
• Generative AI
• CI/CD
• Docker