Data Scientist, Python Developer, Machine Learning, Deep Learning, Big Data with SPARK, Computer Vision, Django, Flask, Neo4j, NLP
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Chetu Inc.
Data Scientist
June 20, 2026 – Present
MCP-Based-Web-Search-RAG-Pipeline
August 4, 2025 – October 22, 2025
This project shows how to integrate external tools (like Google search) via MCP, build a RAG chain, and interact with everything asynchronously using the latest LangChain standards.
View ProjectSemantic-Kernel-Best-Practices
July 20, 2025 – Present
This project implements a Compliance-Aware Content Moderator as a Proof of Concept (PoC) using Semantic Kernel (SK) in a Google Colab notebook. The moderator evaluates user-generated content (e.g., forum posts) against a dynamic set of policies (static, scraped via Firecrawl, and fetched via News API) using Retrieval-Augmented Generation (RAG).
View ProjectPython-Object-Oriented-Programming-for-Low-Level-Design-LLD-
June 21, 2025 – Present
This repository demonstrates comprehensive Object-Oriented Programming (OOP) concepts in Python specifically tailored for Low-Level Design (LLD) applications. It covers fundamental OOP principles, SOLID design principles, design patterns, and practical implementations with real-world examples.
View ProjectRCNN_with_VGG16_for_Tiny_Object_Detection
May 31, 2025 – May 31, 2025
We refactor the RCNN pipeline to use a pretrained VGG16 backbone (with ImageNet weights) for tiny object detection. We use the full SkyFusion (Tiny Object Detection) dataset (train/valid/test) and OpenCV for region proposals. Also Django web application for real-time object detection using Region-based Convolutional Neural Networks (R-CNN).
View ProjectLangchainExperiments
April 30, 2025 – Present
This repository contains hands-on, modular notebooks designed to explore and demonstrate key components of the LangChain framework — from document loaders and splitters to embedding models, vector databases, and retrieval-augmented generation (RAG) workflows.
View ProjectuvTest_ItemManagementAPI
April 20, 2025 – Present
A Django REST Framework API for item management with CRUD operations, powered by uv - the ultra-fast Python package manager.
View ProjectPromptEngineering_UsingOpenAI_GPT4o
March 24, 2025 – March 24, 2025
Each section will feature markdown cells for descriptions and code cells for execution, ensuring an interpretive approach where inputs and outputs are clearly displayed and explained.
View ProjectRAG_MultiDoc_Chatbot
March 14, 2025 – April 12, 2025
A Langchain based Multi Document Chatbot created in Django, where you can upload number of document and ask questions from any of them.
View ProjectDeepLearning-Approach-of-Intrusion_Detection_against_IoT_Attacks-using-Optimized-DeepLearningModel
August 13, 2023 – August 13, 2023
Implementation is enhancing security against cyberattacks by utilizing hybrid optimization (ABC+SCA) to optimize a CNLSTM neural network for intrusion detection. Strengthen IoT device protection and address the increasing sophistication of cyber threats. Dynamic LoadBalancing Algo is using Q-learning, & DL models aid in identifying attacks.
View ProjectAdvance-DBScan_Clustering_4_DrugRecommedationSystem-Using-Deep-Learning---Collaborative_Filtering
August 13, 2023 – August 13, 2023
This project develops a drug recommendation system using sentiment analysis of reviews. It employs Collaborative Filtering, Novel ADBScan Clustering, and a Deep Learning approach of BiLSTM with GWO optimization. The goal is to provide personalized medication recommendations by analyzing patients' profiles. dataset is "UCI ML Drug Review dataset."
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on personal projects, demonstrating a strong passion for data science and AI/ML. The diversity of projects, ranging from intrusion detection to drug recommendation systems and RAG chatbots, indicates a broad interest and willingness to tackle various problem domains. This aligns well with a culture that values innovation and continuous skill development. However, the lack of team-based or collaborative projects in the provided data makes it difficult to assess cultural fit in a team environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven individual, keen on exploring and implementing cutting-edge AI/ML technologies. The focus on personal projects suggests strong initiative and a desire for continuous learning. However, without specific assessment data on communication, logical reasoning, or teamwork, it is difficult to fully assess soft skills and operational fit.