
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
DeepScenario-Collision-Predictor-Capstone
June 6, 2026 – Present
Cheap simulation triage under distribution shift: ranking autonomous-driving scenarios from initialization-only features, then diagnosing where cross-strategy transfer breaks.
View Projecthermes-jobapps
May 21, 2026 – Present
Felt the need so built a AI job application cockpit with Hermes agent tools, structured state, and reproducible local workflows
View Projectpbrain
May 20, 2026 – Present
A lean local personal knowledge base with SQLite, CLI search, and structured distillation. Built for keeping useful context searchable without turning it into another cloud dashboard.
View ProjectTrellis-RAG
March 22, 2026 – Present
Graph-aware RAG library for intent-content conflict resolution. Users bring their own embeddings + a knowledge graph; the library trains a GNN and applies a penalty-based scoring formula to retrieve results that match both content and intent.
View ProjectPersonal-Canvas-Agent
February 22, 2026 – Present
Persistent memory, tool-calling agent, and semantic search over Canvas LMS data. An AI study partner that knows your courses, tracks your grades, and tells you what to do next. Winner HackRamapo.
View ProjectYahtzee-Java-MVC
January 27, 2026 – Present
Android Yahtzee game built in Java with MVC architecture. Features a computer opponent that uses pattern matching and score maximization to select optimal moves. Includes a hint system that runs the same algorithm to advise players. Supports save/load functionality for game state persistence.
View Projectknowledge-graph-retrieval-with-affective-grounding
January 26, 2026 – Present
A retrieval framework for resolving content-intent conflict with semantic, graph, and affective signals for explainable recommendation and intent-aware content discovery.
View ProjectMIN
July 26, 2025 – Present
A collaborative repository for Mathematics Initiatives in Nepal (MIN) focused on improving math education through resources, Olympiad training, outreach, and community involvement.
View ProjectCultural Fit Analysis
The candidate's project portfolio showcases a strong inclination towards personal initiative and innovation, with several projects addressing real-world problems or personal needs. The 'MIN' project also suggests an interest in community involvement and education. The variety of projects, including hackathon participation, indicates a collaborative spirit and a drive to learn and apply new technologies. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a corporate setting.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive, problem-solving attitude and an ability to identify needs and build solutions (e.g., 'Felt the need so built a AI job application cockpit'). The diversity of projects indicates adaptability and a willingness to explore different technical domains. However, without specific psychometric or English test results, a comprehensive assessment of soft skills and operational fit is limited.