
break and build stuff. niranjanmwork@gmail.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
truth-ahoy
August 22, 2025 – November 12, 2025
truth-ahoy: sail through the noise, spot falsehoods fast.
View Projectwishlist_flockai_assignment
July 4, 2025 – July 5, 2025
wishlist_flockai_assignment — GitHub repository
View Projectshared_expense_manager
June 17, 2025 – July 2, 2025
An agentic full-stack expense manager with a React (Vite) frontend, FastAPI backend, and PostgreSQL. Uses LlamaIndex and Gemini API to power an intelligent agent with database tools and Chain-of-Thought prompting for smarter query handling. Dockerized for deployment.
View ProjectDeepFakeDetection
March 16, 2025 – Present
DeepFake Detection model inspired by the ECCV 2024 submission - Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General DeepFake Detection
View ProjectDW_tut_ReactNative
September 18, 2024 – September 21, 2024
This is the repo where we built a userDump react native app
View Projectideasquare-automation
July 23, 2024 – June 23, 2025
An inventory/logistics project for the Techmaniacs Club at IIT Tirupati.
View Projectexpense.io
June 17, 2024 – June 30, 2024
A mobile app developed on the flutter framework that allows for managing your expenses and keeping up with your tasks. Will add some sort of AI tools to help towards budgeting and keeping track of your expenses
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal initiatives and exploration of various technologies. The 'shared_expense_manager' project demonstrates an interest in agentic AI and intelligent systems, which aligns with innovative problem-solving. However, the projects are predominantly personal and lack explicit team collaboration or large-scale impact, making it difficult to fully assess cultural fit in a collaborative professional environment. The diversity of projects suggests adaptability and a willingness to learn new tools.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.