Creating Practical AI Solutions with Machine Learning, Generative AI, and Python Full Stack.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Custom-Telephony-Voice-Agent
July 6, 2025 – July 7, 2025
A real-time telephony voice agent built with Python, FastAPI, Twilio Media Streams, Deepgram (STT/TTS), and Groq (LLM). Enables natural, low-latency voice conversations powered by AI.
View ProjectApplyWizard
September 12, 2024 – Present
Automate job applications with AI-powered form filling using LangChain, ReAct Agent, and AgentQL. Save time, increase productivity, and simplify your job search journey.
View Projectweb-scraping-usingLLM
June 3, 2024 – June 3, 2024
This repository showcases a universal web scraping agent powered by Large Language Models (LLMs), simplifying web scraping by abstracting away the need for manual HTML parsing.
View Projectclip-Fashion-E-commerce
March 10, 2024 – March 10, 2024
building a text to image and image to image search using open ai clip for fashion dataset
View Projectchat-react-csv-bot
February 26, 2024 – February 26, 2024
Chat-React-CSV-Bot is a sophisticated conversational agent engineered with OpenAI's GPT-3.5 model and React agent. This project integrates natural language processing capabilities to develop a chatbot adept at comprehending and generating responses to user inquiries.
View ProjectLangchain-gemini-pro-guide
January 13, 2024 – January 13, 2024
This is step by step guild to use gemini pro with langchain
View ProjectLLM_Agri_Bot
July 8, 2023 – Present
This Chatbot helps farmers make informed decisions by leveraging the power of LLM Model from OpenAI.
View ProjectSentiment-Analysis-Using-Unsupervised-Lexical-Models
July 30, 2021 – July 31, 2021
Sentiment-Analysis-Using-Unsupervised-Lexical-Models — GitHub repository
View ProjectFake_news_Detection
December 8, 2020 – August 26, 2024
This project is for Fake News Detection using NLP and Machine Learning. And then Deploying it using Flask.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and heavily focused on AI/ML, particularly LLMs. While this demonstrates strong technical interest and capability in a specific domain, there is limited evidence of diverse team collaboration or broader software engineering practices. The projects align well with a Data Scientist role focused on AI/ML applications, but the breadth of experience outside this niche is not evident.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong initiative and ability to work on complex technical challenges independently.