Help & Supportcareers@gravityer.com
Biker, music enthusiast and exploratory thinker.Passionate about Java & it's frameworks, experimenting with ML, AI & quant analysis to turn data into insights
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Neetcode-Solutions
April 8, 2026 – Present
This repository contains all of my solutions for neetcode 150 and neetcode 250 problems.
View ProjectVeridoc
April 7, 2026 – Present
A fully local, privacy-preserving RAG pipeline optimized for reasoning over dense financial documents. Veridoc uses LLMLingua-2 for token-level context compression and local LLMs to solve the "lost in the middle" problem—enabling multi-hop reasoning on SEC filings without external cloud APIs.
View ProjectAIRS-flask-
February 16, 2026 – Present
AI-based resume matching based on semantic search along with integrated LLMs and RAG pipeline for better and faster candidate shortlisting
View ProjectHumm2Guitar
November 19, 2025 – Present
AI-powered audio converter that transforms hummed melodies into guitar music. Uses CREPE neural network for pitch detection, extracts musical notes, and synthesizes them as guitar through MIDI. Built with Python, TensorFlow, and FluidSynth. Record 10 seconds of humming and instantly hear it played back as guitar! 🎸
View ProjectAI-based-Resume-shortlisting-application-
September 9, 2025 – Present
An AI-powered platform that automates resume screening for recruiters while providing personalized feedback to candidates. Uses advanced NLP models (BERT) for intelligent job matching and generates actionable improvement suggestions for rejected applicants.
View ProjectWealthWise-
July 27, 2025 – September 27, 2025
I built a smart stock forecasting app that uses LSTM neural networks to predict future stock prices based on historical data. With a clean Flask backend and yFinance integration, it gives real-time insights and a smooth user experience, perfect for anyone looking to make informed market decisions.
View ProjectJPMC-quant-analysis-projects-
July 5, 2025 – November 19, 2025
This repository contains my solutions and analysis for the J.P. Morgan Chase & Co. Quantitative Research Virtual Experience Program. The core objectives include: Analyzing and visualizing financial data Cleaning and preparing time-series data. Identifying patterns, trends, and anomalies. Building forecasting models & Applying statistical methods
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards AI/ML and data science, which aligns with a Data Scientist role. The diversity of projects (finance, audio processing, resume matching) suggests a broad interest in applying AI/ML to different domains. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an ability to work on self-directed projects.