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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
zenpdf
March 6, 2026 – Present
Serene local PDF Q&A with RAG using Ollama & LangChain. Chat with your documents offline.
View Projectinterview_prep
March 1, 2026 – Present
contains data to prep for senior level tech interviews
View Projectpdf_parser
January 21, 2026 – Present
Comparison: Traditional pdf parser vs AI based pdf Parser
View Projectaskdoc-local
June 21, 2025 – June 25, 2025
⚡️ Local RAG API using FastAPI + LangChain + Ollama | Upload PDFs, DOCX, CSVs, XLSX and ask questions using your own documents — fully offline!
View Projectrfm
February 13, 2022 – March 2, 2022
Python Package for RFM Analysis and Customer Segmentation
View Projectdata-structures-implementations
March 8, 2021 – March 8, 2021
implemented in pure python: stack, queue, linked list, hash table, heap, tree, binary tree, binary search tree
View Projectpopularity-based-recommender
December 20, 2020 – December 20, 2020
Popularity based movie recommendation system on MovieLens
View Projectelastic-search-engine-netflix
December 9, 2020 – December 9, 2020
elasticsearch engine built on the top of netflix dataset to retrieve data from query such as 'cast', 'description', 'director', 'duration', 'rating', 'title' etc
View Projectinformation_retrieval_system
October 1, 2020 – October 1, 2020
Information Retrieval System powered by word2vec for similarity matching of word vectors of queries and documents.
View Projecttext_classification_with_rnn_lstm
October 1, 2020 – October 1, 2020
Text classification using RNN/LSTM models on SMS spam collection dataset
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and focus heavily on individual technical implementations. While demonstrating initiative, there is no evidence of team collaboration or diverse project types that would indicate strong cultural fit in a collaborative, product-oriented environment. The experience level is 0, suggesting a lack of professional experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.