
mostly i build to get rid of noise.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
campaign-websites
June 15, 2026 – Present
Three UC student-government campaign sites I built for friends, one a year (2022 Baddam-Lukose, 2023 Baddam-Saxena, 2024 Saxena-Perez) — React, Next.js, and Ant Design.
View Projectmcp-servers
June 15, 2026 – Present
A small fleet of FastAPI tool servers (Canvas, Google Calendar, Outlook) that expose external APIs as LLM-callable tools — built while learning to wire MCP-style integrations into an agent
View Projectinsite-factcheck
June 15, 2026 – Present
COVID-19 misinformation checker using BERT-embedding similarity search over a curated fact database (HackOHI/O)
View Projectcoursework
June 15, 2026 – Present
A curated, themed collection of my computer-science coursework projects — security, devops, algorithms, and data visualization — each documented and runnable
View Projectatlas
June 13, 2026 – Present
A local-first verification layer for AI-assisted development — fuses static analysis, runtime observation, and surgical AI into an Application Graph that tells you what broke and why, for ~zero tokens.
View Projectneon-nerdsnipe
May 25, 2026 – Present
A TypeScript TanStack AI agent that solves the NEON authentication WebSocket challenge
View Projectpulse
November 25, 2025 – Present
One quest a day, the same for everyone — and you can't see how anyone else did it until you post your own. An unshipped neo-brutalist mobile experiment (Expo + Convex).
View Projecteasy-rag
August 24, 2024 – Present
A platform to train your own retrieval-augmented chatbots — ingest documents or a database, pick your embedding model and LLM, and embed the bot on any site with one snippet. Next.js, Convex vector search, OpenAI + Claude.
View Projecthackathon-stats-dashboard
October 24, 2021 – Present
Responsive statistics dashboard built for RevolutionUC (University of Cincinnati hackathon) — live, yearly, and trends views in React + MUI + ApexCharts
View ProjectCultural Fit Analysis
The candidate's portfolio consists entirely of personal projects, indicating a strong passion for technology and continuous learning. The diversity of projects, including hackathon participation and student government sites, suggests a collaborative spirit and engagement with community. The focus on AI/ML and data-related projects aligns well with a Data Scientist role, demonstrating intrinsic motivation in the field. However, the lack of team-based professional projects makes it challenging to fully assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's personal projects demonstrate initiative, self-direction, and a strong drive for learning new technologies. The variety of projects, from web development to AI/ML, suggests adaptability and a problem-solving mindset. However, without formal work experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or specific work attitudes.