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AI/ML Developer at BISAG-N | KIIT Graduate | Salesforce & AWS Certified | Data Analyst skilled in Python, SQL, Power BI for process optimization & insights
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Assessing your cultural and operational fit
Bisag-N((Ministry of Electronics & IT
Data Scientist
June 19, 2026 – Present
Computer-Vision-Based-Person-Identification
June 11, 2026 – Present
Computer-Vision-Based-Person-Identification — GitHub repository
View ProjectDocuQuery-OCR-AI
June 8, 2026 – Present
The core functionality includes uploading documents, intelligently parsing them with AI, querying/chatting with them, Built on a powerful modern tech stack, it utilizes Python and FastAPI for the backend, LlamaIndex and HuggingFace for local LLMs and Vector Embeddings, and a beautiful Vanilla HTML/CSS/JS frontend.
View ProjectRAG-based-Database-Dashboard-Document-Assistant
June 1, 2026 – Present
ask questions in English → SQL + charts(Dashboard) + document Q&A (MarketLens). TechStack: Python, LangGraph, PostgreSQL, FAISS, Qwen, Plotly
View ProjectInternship-Multilingual-RAG-based-AI-Assistant
May 29, 2026 – Present
Internship - Multilingual RAG-based AI Assistant An intelligent, multilingual conversational agent powered by local LLMs (Qwen-4B), FastAPI, and FAISS. It provides generalized knowledge and retrieves user-specific application details regarding the Internship Program.
View ProjectFeedClass
July 31, 2025 – July 31, 2025
Lora, Colab, chainlit, mBert, supervised learning
View ProjectBIZINTEL360
July 1, 2025 – July 16, 2025
An end-to-end data analytics project focused on deriving business insights from sales, product, and customer data using SQL, Python, and Power BI. This project simulates a real-world business intelligence case study.
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in cutting-edge AI/ML technologies and a self-driven approach to learning. The diversity of projects, from computer vision to RAG systems and business intelligence, suggests adaptability and a broad technical curiosity. However, the lack of team-based projects or professional experience beyond a current role with a future start date makes it difficult to fully assess cultural fit in a collaborative environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive approach to learning and applying new technologies.