Barun Sahoo
Data ScientistSikkim, IndiaMember since June 18, 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
LLM-Output-Validator-Schema-Enforcer-1.0
May 28, 2026 – Present
LLM-Output-Validator-Schema-Enforcer-1.0 — GitHub repository
View ProjectTRAVEL_AGENT_ADK
March 25, 2026 – Present
Multi-agent AI travel planner built with Google ADK parallel specialist agents for transport, hotels & sightseeing collaborate via A2A protocol to generate structured, search-grounded trip plans from a single query.
View ProjectSemantic-Alignment-in-Churn-Prediction-Model
March 5, 2026 – Present
An ML case study on **Semantic Misalignment in churn prediction models**. The project introduces a hybrid **ML + Semantic Alignment layer** that corrects logically inconsistent predictions and demonstrates a reusable framework for improving real-world ML systems. Tech: Python • Scikit-learn • Gradio • Docker • AWS ECS
View ProjectVectorization-RAG-
February 11, 2026 – Present
Simple Retrieval-Augmented Generation (RAG) A beginner-friendly implementation of Retrieval-Augmented Generation using LangChain and Chroma Vector Store, focused on basic document ingestion, text embedding, vector indexing, and similarity-based retrieval for learning core RAG concepts.
View Projectvaulted-cloud-storage
February 8, 2026 – Present
A full-stack cloud storage application built with Next.js and Appwrite, focused on hands-on learning of authentication, BaaS workflows, and secure file management with a clean, production-ready interface.
View ProjectKnowledge-Bank-Chatbot
February 7, 2026 – Present
"Knowledge Bank Chatbot" A modular RAG-based chatbot that combines a web interface, document retrieval, and a Supabase backend to deliver context-aware conversations from a custom knowledge base.
View Projectcode-review-agent-langgraph
February 7, 2026 – Present
"CODE - REVIEW - AGENT - LANGGRAPH" An automated code review agent built with LangGraph and a local Ollama LLM that analyzes repositories, identifies issues, explains tradeoffs, and generates structured review reports (without relying on paid APIs.)
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in AI/ML, particularly in areas like multi-agent systems, RAG, and LLM output validation, which aligns well with a Data Scientist role. The diversity of projects, from AI planners to full-stack applications, demonstrates a broad technical curiosity and willingness to learn new technologies. However, the lack of professional experience or team-based projects makes it challenging to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-directed learning approach, particularly in exploring advanced AI concepts and full-stack development. The focus on building functional applications suggests a practical, problem-solving mindset. However, without psychometric or English test results, it's difficult to assess communication clarity, work attitude, stress handling, or team collaboration skills.