Account to handle developer recruitments for Trademarkia.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
LegalForceLawRAPC
Data Scientist
June 18, 2026 – Present
Semantic-Search-FAISS-FastAPI
March 8, 2026 – Present
FastAPI based semantic search service using SentenceTransformers embeddings, FAISS vector retrieval, Gaussian Mixture clustering, and a semantic cache. Containerised with Docker.
View Projecttrademarkia
March 8, 2026 – Present
A lightweight semantic search system built on the 20 Newsgroups dataset. It generates vector embeddings, discovers fuzzy topic clusters, and implements a custom semantic cache that detects similar queries even when phrased differently. The system is exposed through a FastAPI service.
View ProjectSemantic-Search-Engine
March 8, 2026 – Present
Semantic-Search-Engine — GitHub repository
View ProjectTradmarkia-Internship-Challange
March 29, 2025 – September 12, 2025
A project replicating the search page of Trademarkia
View Project21BLC1040_ML
June 5, 2024 – June 5, 2024
The project uses a pre-trained Llama 2 language model to create a web application for 'Dynamic Blog Generation', powered by Streamlit. It uses advanced natural language processing to generate relevant content for the blog, showcasing the potential of generative AI and NLP in content creation.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in data science, machine learning, and web development. The current role as 'Data Scientist' aligns well with the target role. However, the projects are diverse in technology (Go, JavaScript, Python) which, while showing breadth, might indicate a lack of deep specialization in core data science areas if not balanced with more focused work. The absence of team projects or open-source contributions makes it difficult to assess collaborative fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a focus on practical application and deployment of data science solutions. However, without psychometric test results or interview data, it is difficult to assess soft skills like logical reasoning, work attitude, stress handling, or team collaboration.