Minakshi Aggarwal

Software Engineer

https://talent.gravityer.com/minakshi-aggarwal

Independent researcher Polynomial-Time logic for NP-complete problems,(Subset Sum and P vs NP). DOI:10.6084/m9.figshare.29613809 DOI:10.17605/osf.io/98NM4

Member since June 21, 2026

Key Strengths

Demonstrated interest in complex algorithmic problems (TSP, Subset Sum).
Experience with real-time data processing and edge architectures (Sovereign Pit-Wall).
Proficiency in Python for technical projects.
Potential for deep analytical thinking as evidenced by project descriptions.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and highly academic/research-oriented, focusing on complex algorithms and novel architectures. While demonstrating strong technical curiosity, the lack of team-based projects or diverse industry experience makes it difficult to assess cultural fit for a typical software engineering team. The projects suggest a preference for deep, individual problem-solving.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview data available.

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Projects

sovereign-pit-wall

May 31, 2026 – Present

Sovereign Pit-Wall: A zero-latency edge architecture pairing a custom VFS with IBM Granite. It syncs F1 mechanical telemetry with driver biometrics to predict catastrophic failures in real-time.

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BioTactix-AI

May 31, 2026 – Present

BioTactix-AI — repository

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f1-telemetry-vfs-router

May 23, 2026 – Present

Sovereign Pit-Wall: A zero-latency edge architecture pairing a custom VFS with IBM Granite. It syncs F1 mechanical telemetry with driver biometrics to predict catastrophic failures in real-time.

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A-Polynomial-Time-Heuristic-for-the-Travelling-Salesman-Problem-Verified-Against-Held-Karp

September 1, 2025 – September 1, 2025

This is a polynomial-time structural beam algorithm for the TSP problem, Verified against Held–Karp up to n=15 & stress-tests up to n=100, this shows cubic-time and sub-quadratic memory growth. Results demonstrate high accuracy with controlled resources, providing a practical and scalable heuristic for large-scale combinatorial optimization.

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P-VS-NP-SUBSET-SUM

July 8, 2025 – July 25, 2025

An structured attempt at a Polynomial -Time Solution to the NP-complete Subset Sum Problem.

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Key Strengths

Demonstrated interest in complex algorithmic problems (TSP, Subset Sum).
Experience with real-time data processing and edge architectures (Sovereign Pit-Wall).
Proficiency in Python for technical projects.
Potential for deep analytical thinking as evidenced by project descriptions.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview data available.

Minakshi Aggarwal

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit