Aman Aggarwal
Data ScientistBengaluru, Delhi, IndiaMember since June 25, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
jwt-auth-bypass-toolkit
May 23, 2026 – Present
jwt-auth-bypass-toolkit — GitHub repository
View ProjectLegalEase
December 23, 2025 – December 23, 2025
Legalese is an AI-powered tax law assistant that helps nonexperts ask natural-language questions about Indian tax laws and understand complex statutory documents. It ingests Acts, rules, and case materials, processes them through a custom NLP pipeline (classification, NER, semantic search, and summarization), and uses
View ProjectCalciumImaging_Denoising
December 23, 2025 – December 23, 2025
CalciumImaging_Denoising implements a deep learning–based approach to remove noise from two-photon calcium imaging data, improving signal quality for neural activity analysis.
View ProjectEdgeServer
October 22, 2025 – December 23, 2025
EdgeServer is a LAN-based local alternative to Google Colab that runs a lightweight LLM on an edge server. Users on the same network can access a notebook environment, upload datasets, and train or run models locally without relying on cloud services.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal, self-driven initiatives, including several GitHub repositories. The diversity of projects, from distributed systems (RAFT-Algo, Distributed_Systems) to web development (DevTrailsHackathon, Github) and AI/ML applications (LegalEase, CalciumImaging_Denoising, EdgeServer), indicates a broad interest in technology. However, the target role is 'Data Scientist', and while there are relevant projects, the overall breadth might suggest a less focused career path or a strong generalist tendency. The lack of professional experience or education details makes it difficult to fully assess cultural fit within a structured organizational environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.