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AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
provider-agnostic-rag-agent
May 2, 2026 – Present
An advanced Agentic Retrieval-Augmented Generation (RAG) pipeline built with LangGraph and FastAPI. It natively supports hot-swapping LLM providers (Groq, OpenAI, Gemini) and utilizes multi-agent routing to process queries across Vector Databases (ChromaDB), structured SQL, and CSV files, all protected by a 3-layer guardrail system.
View ProjectHands-On-Explainable-AI-XAI-with-Python
December 15, 2020 – December 15, 2020
Cloned from "https://github.com/PacktPublishing/Hands-On-Explainable-AI-XAI-with-Python"
View ProjectBERT-QA-MODEL-API
December 1, 2020 – December 9, 2020
Bert Question Answering model using pre trained model from Huggingface
View Projectwordcount-project
March 21, 2020 – March 21, 2020
Learning Django -> Simple webapp to count words from given text.
View Projectlive_face_recognition
January 10, 2020 – January 11, 2020
Application for live face recognition using webcam.
View ProjectML_Flask_API
September 27, 2019 – September 27, 2019
Deployable Flask API for a Machine learning model.
View ProjectIPL_WebApp_Shiny
September 27, 2019 – October 21, 2019
Webapp using R shiny for analysing Batsman vs Bowler stats from IPL Data.
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a strong initiative and self-driven learning, which aligns well with a culture of continuous improvement and innovation. The diversity of projects, from face recognition to RAG agents and web applications, suggests adaptability and a broad interest in technology. However, without team-based project experience or explicit collaboration details, assessing team collaboration and cultural alignment beyond individual drive is challenging.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive learning approach and an interest in diverse technical areas.