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Finova-MIT
Data Scientist
June 25, 2026 – Present
Karma-Protocol
April 28, 2026 – Present
AI agents are being deployed into production with zero independent verification of their safety, reliability, or consistency. Builders write their own evaluations (if any). Companies trust blindly in vendor marketing. End-users have no objective baseline to compare agents. There is no standard. KARMA Protocol is that standard.
View ProjectTrade-Order-Management-System
April 7, 2026 – Present
A Microservice based Trade order management system built using FIX 4.4 and utilizing decoupled communications from market data aggregation to trade execution and validation.
View Projectcml-final-deliverable-Vedant01
April 7, 2026 – Present
cml-final-deliverable-Vedant01 created by GitHub Classroom
View Projectstew
March 6, 2026 – Present
Stew is an AI that knows your UPI, understands your goals, and actually talks to you like a person, not a spreadsheet.
View ProjectTrady-FinanceAI_LangGraph
November 29, 2024 – November 29, 2024
The project aims to build an intelligent finance assistant capable of answering complex queries about financial metrics.
View ProjectFace-Clustering-and-Performance-Analysis-for-Social-Media-Insights
November 28, 2024 – November 28, 2024
The goal is to analyze influencer content from videos and identify which influencer performed the best based on their appearance and associated performance scores.
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards AI/ML and finance, which aligns with the target role of Data Scientist. However, the diversity of projects also includes significant web development, which might indicate a broader interest beyond pure data science. The candidate's experience level is listed as 0, and the only listed experience is a current role as 'Data Scientist' at 'Finova-MIT' starting in the future (2026), which makes it difficult to assess real-world cultural fit or team collaboration experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.